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SCImago
Q3
WOS
Q4
Impact factor
1.5
SJR
0.571
CiteScore
2.7
Categories
Cancer Research
Oncology
Areas
Biochemistry, Genetics and Molecular Biology
Medicine
Years of issue
2018-2025
journal names
Cancer Reports
CANCER REP-US
Top-3 citing journals

Cancers
(155 citations)

Frontiers in Oncology
(103 citations)

International Journal of Molecular Sciences
(94 citations)
Top-3 organizations

Tehran University of Medical Sciences
(31 publications)

Iran University of Medical Sciences
(21 publications)

Shahid Beheshti University of Medical Sciences and Health Services
(17 publications)

Tehran University of Medical Sciences
(31 publications)

Iran University of Medical Sciences
(21 publications)

Shahid Beheshti University of Medical Sciences and Health Services
(17 publications)
Most cited in 5 years
Found
Publications found: 458
Q2

Automated Monitoring of Web User Interfaces
Visconti E., Tsigkanos C., Nenzi L.
Application development for the modern Web involves sophisticated engineering workflows – including user interface (UI) aspects. Such user interfaces comprise Web elements that are typically created with HTML/CSS markup and JavaScript-like languages, yielding Web documents. Their testing entails performing checks to examine visual and structural parts of the resulting UI software against requirements such as usability, accessibility, performance, or, increasingly, compliance with standards. However, current techniques are largely ad-hoc and tailor-made to specific classes of requirements or Web technologies and extensively require human-in-the-loop qualitative evaluations. Web UI evaluation so far has lacked formal foundations, which would provide assurances of compliance with requirements in an automatic manner.
To this end,
we devise a methodology and accompanying technical framework for web UIs. In our approach, requirements are formally specified in a spatio-temporal logic able to capture both the layout of visual components as well as how they change over time, as a user interacts with them. The technique we advocate is independent of the underlying technologies a Web application may be developed with, as well as the browser and operating system used.
To concretely support the specification and evaluation of UI requirements, our framework is grounded on open-source tools for instrumenting, analyzing, and reporting spatio-temporal behaviors in webpages. We demonstrate our approach in practice over
Web accessibility standards posing challenges for automated verification.
Q2

Trust Models Go to the Web: Learning How to Trust Strangers
De Meo P., Prifti Y., Provetti A.
We study emerging traits of interpersonal and social trust in online social networks of needs (OSNNs), where trust interactions start online and evolve into in-person meetings. We present a lightweight web scraping solution to harness data from online social networks; thanks to it we were able to monitor a nation-wide portal for childcare and see the evolution of online reviews from both families and carers. We analysed the data by first considering topological information to test centrality metrics as proxies for trustworthiness. Next, we focused on features/profile analysis and tested the Castelfranchi–Falcone trust model from psychology (CF-T), fitting it to online reviews of childcare services. Even though such reviews are relatively scarce and seemingly skewed, we feature-engineered the CF-T model to predict the evolution of reviews, treated as proxies for trust. By aggregating CF-T scores at the regional level, we discovered a strong correlation with per capita GDP, which suggests that high levels of trust in social networks of needs reflect social capital.
Q2

What Did My Users Experience? Discovering Visual Stimuli on Graphical User Interfaces of the Web
Menges R., Staab S., Schaefer C., Walber T., Kumar C.
Main tasks of usability experts for Web sites comprise the analysis of user interaction behavior on graphical user interfaces, the discovery of issues, and the derivation of improvements to the interface. The analysis of user interaction behavior and corresponding discovery of issues are made difficult by modern Web interfaces that incorporate dynamic interface elements and that orchestrate complex reactions to user responses. We propose a semi-automated approach for discovering visual stimuli, which capture summarized views of the interface as encountered by users during interaction. Discovered visual stimuli allow for meaningful aggregations of user interactions based on what users encountered on the interface such that the analysis by usability experts can relate the interface views with user interactions correctly and identify arising issues. We provide WebVSD as an implementation of the approach and perform a set of evaluations with real-world Web sites that show the accuracy of proposed methods in isolation and in the tool chain, as well as case studies and a survey of usability experts indicating the usefulness of the suggested approach.
Q2

BNoteToDanmu: Category-Guided Note-to-Danmu Conversion Method for Learning on Video Sharing Platforms
Yu F., Zhang P., Qiao S., Ding X., Lu T., Gu N.
Danmu (or “bullet screen”), a popular feature on video sharing platforms, plays a crucial role in facilitating knowledge sharing and learning. In recent years, danmu has drawn attention to automatic generation methods. However, existing methods mostly utilize limited content sources, such as the video itself (e.g., subtitles) and neighboring danmus, while other valuable sources remain underexplored. To this end, this paper proposes a Category-Guided Note-to-Danmu conversion model (CG-NTD) by leveraging user-generated notes. The model is designed to identify unique contents within the notes and convert them into danmus, while also showing the source note categories. CG-NTD classifies the notes by fusing them with subtitle and neighboring danmu features. Then, it uses a cross-attention mechanism to integrate the note’s category feature with note, subtitle, and danmu contexts, to identify three keywords from the notes as the generated danmus. Using Bilibili as the research site, we implement a plugin prototype named BNoteToDanmu. Automatic and human evaluations reveal that CG-NTD outperforms BiLSTM, mT5, and BERT baselines in Precision, Recall, and F1-score metrics, and generates more understandable and relevant danmus than ChatGPT. Moreover, the plugin demonstrates promising applications, such as assisting users in viewing videos, posting danmus, and recognizing high-quality notes. These findings offer insights into leveraging user creations to generate danmu to enhance its learning value on video sharing platforms.
Q2

Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
Wang J., Jatowt A., Cai Y.
In the evolving field of Natural Language Processing (NLP), understanding the temporal context of text is increasingly critical for applications requiring advanced temporal reasoning. Traditional pre-trained language models like BERT, which rely on synchronic document collections such as BookCorpus and Wikipedia, often fall short in effectively capturing and leveraging temporal information. To address this limitation, we introduce BiTimeBERT 2.0, a novel time-aware language model pre-trained on a temporal news article collection. BiTimeBERT 2.0 incorporates temporal information through three innovative pre-training objectives: Extended Time-Aware Masked Language Modeling (ETAMLM), Document Dating (DD), and Time-Sensitive Entity Replacement (TSER). Each objective is specifically designed to target a distinct dimension of temporal information: ETAMLM enhances the model’s understanding of temporal contexts and relations, DD integrates document timestamps as explicit chronological markers, and TSER focuses on the temporal dynamics of ”Person” entities. Moreover, our refined corpus preprocessing strategy reduces training time by nearly 53%, making BiTimeBERT 2.0 significantly more efficient while maintaining high performance. Experimental results show that BiTimeBERT 2.0 achieves substantial improvements across a broad range of time-related tasks and excels on datasets spanning extensive temporal ranges. These findings underscore BiTimeBERT 2.0’s potential as a powerful tool for advancing temporal reasoning in NLP.
Q2

Exploring Suicide Factors in Online Discourse: Sentiment and Thematic Analysis of Reddit
Dan E., Zhu J., Jin R.
Suicide remains a critical global health issue, with rising numbers claiming more lives each year despite ongoing prevention efforts. Current research has extensively explored factors influencing suicidal tendencies, emphasizing trauma, mental health disorders, and social relationships. However, traditional studies often relied on traditional data sources and often examined risk factors in isolation, which may not fully capture the dynamics observed in social media platforms. To address these limitations, our study utilizes data from r/SuicideWatch and r/Teenagers to analyze the emotional sentiment and explore themes associated with suicidal ideation, with r/Teenagers serving as a comparative reference. By leveraging natural language processing (NLP) techniques and statistical methodologies, including sentiment analysis and BERTopic modeling, we aim to gain deeper insights into the factors contributing to suicidal thoughts. Using TextBlob, our findings reveal a significant difference in sentiment between the two subreddits, with r/SuicideWatch posts predominantly expressing challenges and distressing emotions. Through BERTopic analysis, we identified key themes such as emotional challenges related to romantic relationships, academic pressure, and substance use concerns in r/SuicideWatch, highlighting their strong association with suicidal ideation. While r/Teenagers had some similar themes regarding struggles with loneliness and academics, the topics were focused more on general adolescent concerns. These findings demonstrate that advanced NLP methods can effectively analyze large-scale social media data, providing valuable insights into the multifaceted nature of suicidal ideation and emphasizing the need for targeted intervention strategies. Suggested improvements include enhancing relationship counseling and peer support networks, implementing school-based mental health programs, and leveraging social media for real-time support and awareness campaigns. By understanding the emotional and thematic nuances of online discussions, these strategies can more effectively address the multifaceted factors contributing to mental health challenges and reduce the risk of suicidal behavior.
Q2

CoDÆN: Benchmarks and Comparison of Evolutionary Community Detection Algorithms for Dynamic Networks
Paoletti G., Gioacchini L., Mellia M., Vassio L., Almeida J.
Web data are often modelled as complex networks in which entities interact and form communities. Nevertheless, web data evolves over time, and network communities change alongside it. This makes Community Detection (CD) in dynamic graphs a relevant problem, calling for
evolutionary
CD algorithms. The choice and evaluation of such algorithm performance is challenging because of the lack of a comprehensive set of benchmarks and specific metrics. To address these challenges, we propose CoDÆN – COmmunity Detection Algorithms in Evolving Networks – a benchmarking framework for evolutionary CD algorithms in dynamic networks, that we offer as open source to the community. CoDÆN allows us to generate synthetic community-structured graphs with known ground truth and design evolving scenarios combining nine basic graph transformations that modify edges, nodes, and communities. We propose three complementary metrics (i.e. Correctness, Delay, and Stability) to compare evolutionary CD algorithms.
Armed with CoDÆN, we consider three evolutionary modularity-based CD approaches, dissecting their performance to gauge the trade-off between the stability of the communities and their correctness. Next, we compare the algorithms in real Web-oriented datasets, confirming such a trade-off. Our findings reveal that algorithms that introduce memory in the graph maximise stability but add delay when abrupt changes occur. Conversely, algorithms that introduce memory by initialising the CD algorithms with the previous solution fail to identify the split and birth of new communities. These observations underscore the value of CoDÆN in facilitating the study and comparison of alternative evolutionary community detection algorithms.
Q2

PORTRAIT: A Hybrid Approach to Create Extractive Ground-truth Summary for Disaster Event
Garg P., Chakraborty R., Dandapat S.
Nowadays, X (formerly known as Twitter) is an important source of information and latest updates during ongoing events, such as disaster events. However, the huge number of tweets posted during a disaster makes identification of relevant information highly challenging. Therefore, a summary of the tweets can help the decision-makers to ensure efficient allocation of resources among the affected population. There exist several automated summarization approaches that can generate a summary given the tweets related to a disaster. Development of these automated summarization approaches require availability of ground-truth summary of the dataset for verification. However, the number of publicly available datasets along with the ground-truth summary for disaster events are still inadequate. To improve this situation, we need to create more ground-truth summaries. Existing approaches for ground-truth summary generation rely on the annotators’ wisdom and intuition. This process requires immense human effort and significant time. Moreover, the selection of the important tweets from the humongous set of input tweets often results in sub-optimal choice of tweets in the final summary. Therefore, to handle these challenges, we propose a hybrid approach (PORTRAIT) for ground-truth summary generation, where we partly automate the procedure to improve the quality of ground-truth summary and reduce human effort and time. We validate the effectiveness of PORTRAIT on nine disaster events through quantitative and qualitative analysis. We prepare and release the ground-truth summaries for nine disaster events, which consist of both natural and man-made disaster events belonging to five different continents.
Q2

“Double vaccinated, 5G boosted!”: Learning Attitudes Towards COVID-19 Vaccination from Social Media
Chen N., Chen X., Zhong Z., Pang J.
The sudden onset of the recently concluded COVID-19 pandemic has driven substantial progress in various scientific fields. One notable example is the comprehension of public vaccination attitudes and the timely monitoring of their fluctuations through social media platforms. This approach can serve as a cost-effective means to supplement surveys in gathering public vaccine hesitancy levels. In this paper, we propose a deep-learning framework leveraging textual posts on social media to extract and track users’ vaccination stances in near real-time. Compared to previous works, we integrate into the framework the recent posts of a user’s social network friends to collaboratively detect the user’s genuine attitude towards vaccination. Based on our annotated dataset from X (previously known as Twitter), the models instantiated from our framework can increase the performance of attitude extraction by up to 23% compared to the state-of-the-art text-only models. Using this framework, we successfully confirm the feasibility of using social media to track the evolution of vaccination attitudes in real life. In addition, we illustrate the generality of our framework in extracting other public opinions such as political ideology. We further show one practical use of our framework by validating the possibility of forecasting a user’s vaccine hesitancy changes with information perceived from social media.
Q2

MSA-Net: A Multi-Scale Information Diffusion Model Awaring User Activity Level
Tang Y., Piao J., Wang H., Wang Y., Li Y.
Modeling information diffusion on social networks can be used to guide the prediction and control of information propagation and improve the structure and functionality of social networks. Existing information diffusion prediction methods can predict information diffusion paths and its volume by modeling social network structure and user behavior. However, none of the existing methods take user activity level, which is proved to be critical in modeling the information diffusion process, into account, thus weaken the prediction accuracy. To solve this problem, this paper proposes a Multi-Scale Activity Network (MSA-Net) to capture topological and historical affect features for different scales and to predict the users who will be affected at a specific future timestamp with the help of user activity level. Specifically, we first learn the network representation of three scales or levels: micro-scale, meso-scale, and macro-scale, which refers to the user level, intra-community level, and inter-community level, respectively. Then, we introduce the user activity level for each user by using user degree and average number of tweets per time unit to model the individual differences of users to achieve a more accurate prediction. Extensive experiments based on real-world datasets show that MSA-Net achieves a 6.14% improvement in terms of precision, a 6.74% improvement in terms of recall metrics, a 4.26% improvement in terms of F1-score, a 3.15% improvement in terms of MAP, and a 25.78% improvement in terms of NRMSE over the best existing baseline. The code and data are available at https://github.com/tsinghua-fib-lab/MSA-Net.
Q2

Twitter User Geolocation Based on Location Feature Enhancement
Zhang M., Luo X., Huang N., Liu Y., Du S.
User location discovery from social media is crucial for location-based services like emergency awareness and event monitoring. Existing approaches generally integrate user-generated text features and social relationships, but insufficiently explore location-specific features and geographically proximate relationships, leading to suboptimal accuracy. In this paper, we propose a Twitter user geolocation method based on location feature enhancement, to better capture the location characteristics in users’ tweets and social relationships. Specifically, a user tweet representation algorithm based on location feature separation (TwLS) is designed. By leveraging words’ location-aware weight matrix and pre-trained embeddings, TwLS calculates a tweet representation for each user in every location, explicitly indicating the relevance between users and various locations. Additionally, we develop the local celebrity discovery method (LocCel) to construct social networks by identifying and preserving geographically concentrated high-degree nodes while filtering noise. Thereby LocCel enhances local relationships and strengthens location-proximate connections within the user social network. Experiments on two real-world datasets show that our method outperforms seven baselines, improving user geolocation accuracy by 3.1% ∼ 8.1% and 1.8% ∼ 8.8%, while reducing median error by 22.2% ∼ 52.8% and 19.4% ∼ 50.7%, respectively.
Q2

Unsupervised Framing Analysis for Social Media Discourse in Polarizing Events
Sarmiento H., Córdova R., Ortiz J., Bravo-Marquez F., Santos M., Valenzuela S.
This study investigates the concept of
frames
in the realm of online polarization, with a focus on social media platforms. The research extends the understanding of how frames—emerging, complex, and often subtle concepts—become prominent in online conversations that are polarized. The study proposes a comprehensive methodology for identifying and characterizing these frames, integrating machine learning techniques, network analysis algorithms, and natural language processing tools. This method aims for generalizability across multiple platforms and types of user engagement. Two novel metrics,
homogeneity
and
relevancy
are introduced for the rigorous evaluation of identified frame candidates.
Grounded in several foundational presumptions, including the role of topics and multi-word expressions in framing, the study sheds light on how frames emerge and gain significance within digital communities. The research questions explored include the methods for identifying frames, the variability and significance of these frames, and the effectiveness of different computational techniques in this context.
To validate the approach, we present a case study of the 2021 Chilean presidential election, using data from both Twitter and WhatsApp platforms. This real-world application allows for the examination of how frames fluctuate in response to events and the specific mechanisms of platforms. Overall, the study makes several key contributions to the field, offering new insights and methodologies for analyzing the complexities of online polarization. It serves as groundwork for future research on the dynamics of online communities, especially those associated with distinctly polarized events.
Q2

From Nodes to Knowledge: Exploring Social Network Analysis in Education
Singh S.S., Muhuri S., Kumar S., Barua J.
In the evolving education landscape, this survey investigates the integration and transformation of educational paradigms using social network analysis (SNA). This article examines the fundamentals of SNA, including nodes, edges, centrality metrics, and network dynamics, for a comprehensive understanding of the education domain. It guides researchers through various applications of SNA in education, such as student–teacher networks and institutional collaborations, highlighting the advantages and challenges of these complex interactions. The article assesses the methodologies used in educational SNA, including data collection strategies and the associated ethical considerations. The survey also discusses various case studies and applications where SNA facilitates well-informed decision-making, enhanced academic collaboration, and the evaluation of student performance. This article focuses on the transformative potential of SNA and acknowledges the limitations, ethical dilemmas, and technological challenges in the field. It concludes with a forward-looking perspective on the future of SNA in education, showcasing supportive technological advancement. This survey highlights the evolution of SNA since its incorporation into educational research and practices.
Q2

Ransomware Over Modern Web Browsers: A Novel Strain and a New Defense Mechanism
Oz H., Tuncay G., Aris A., Acar A., Babun L., Uluagac S.
Ransomware is an increasingly prevalent form of malware targeting end-users, governments, and businesses. As it has evolved, adversaries added new capabilities to their arsenal. We propose a next-generation browser-based ransomware,
RøB
, which performs its malicious actions via web technologies, File System Access API (FSA) and WebAssembly (Wasm).
RøB
uses this API through the victims’ browsers; hence, it does not require the victims to download and install malicious binaries. We performed extensive evaluations with three different OSs, 23 file formats, 29 distinct directories, five cloud providers, and four antivirus solutions. Our evaluations show that
RøB
can encrypt various types of files in the local and cloud-integrated directories, external storage devices, and network-shared folders of victims. Our experiments also reveal that popular cloud solutions, Box Individual and Apple iCloud can be severely affected by
RøB
. Moreover, we conducted tests with commercial antivirus software such as AVG, Avast, Kaspersky, and Malware Bytes that perform sensitive directory and suspicious behavior monitoring against ransomware. We verified that
RøB
can evade these antivirus software and encrypt victim files. Moreover, existing ransomware detection solutions in the literature also cannot be a remedy against
RøB
due to its distinct features. Therefore, in this paper, we also propose
RøBguard
, a new detection system for
RøB
-like attacks.
RøBguard
monitors the web applications that use the FSA API via function hooking and uses a machine learning classifier to detect
RøB
-like attacks. We implemented a proof of concept version of
RøBguard
and our evaluation results show that
RøBguard
can detect
RøB
-like browser-based ransomware attacks effectively. We also provide future research directions that should be addressed in this domain.
Q2

Crumbled Cookies: Exploring E-commerce Websites? Cookie Policies with Data Protection Regulations
Singh N., Do Y., Yu Y., Fouad I., Kim J., Kim H.
Despite stringent data protection regulations, such as the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and other country-specific laws, numerous websites continue to use cookies to track user activities, raising significant privacy concerns. This study aims to investigate the compliance of e-commerce websites with these regulations from a cookie perspective and explore potential variations in cookie policies across different countries. We conducted a comprehensive analysis of 360 popular e-commerce websites (44,323 cookies) across multiple countries, examining cookie attributes and their potential links to privacy and security breaches. Our findings revealed that 73% of third-party cookies function as tracker cookies, with around 40% breaching lifecycle regulations. Additionally, 85% are vulnerable to potential cross-site scripting (XSS) attacks, while only 349 out of 44,323 adhere to robust measures aimed at combating cross-site request forgery (CSRF) attacks. We also discovered instances of masquerading cookies, where third-party cookies disguise themselves as first-party cookies, enabling unauthorized user tracking without consent. To the best of our knowledge, this study is the first to comprehensively analyze the compliance of e-commerce websites with the GDPR, CCPA, and country-specific regulations concerning cookie policies across different jurisdictions. Our findings highlight the urgent need for uniform and consistent cookie policies across websites and jurisdictions, as well as robust enforcement mechanisms and increased transparency to ensure compliance with data protection regulations. This research contributes to the ongoing discourse on privacy protection and underscores the importance of addressing the challenges posed by insecure cookie practices in the e-commerce sector.
Top-100
Citing journals
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Cancers
155 citations, 4.33%
|
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Frontiers in Oncology
103 citations, 2.87%
|
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International Journal of Molecular Sciences
94 citations, 2.62%
|
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Cancer Reports
70 citations, 1.95%
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Reactions Weekly
56 citations, 1.56%
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Cureus
55 citations, 1.54%
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47 citations, 1.31%
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Scientific Reports
29 citations, 0.81%
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27 citations, 0.75%
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Supportive Care in Cancer
25 citations, 0.7%
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Cells
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BMC Cancer
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Journal of Cancer Survivorship
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Cancer and Metastasis Reviews
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Heliyon
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9 citations, 0.25%
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Medicine (United States)
9 citations, 0.25%
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International Journal of Cancer
9 citations, 0.25%
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Journal of Cancer Research and Clinical Oncology
8 citations, 0.22%
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Frontiers in Pediatrics
8 citations, 0.22%
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Journal of Personalized Medicine
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BMC Women's Health
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Biomolecules
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Medicina
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Citing publishers
100
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Springer Nature
765 citations, 21.35%
|
|
Elsevier
550 citations, 15.35%
|
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MDPI
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Taylor & Francis
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54 citations, 1.51%
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BMJ
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Institute of Electrical and Electronics Engineers (IEEE)
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|
|
Georg Thieme Verlag KG
12 citations, 0.33%
|
|
JMIR Publications
12 citations, 0.33%
|
|
Publishing House ABV Press
10 citations, 0.28%
|
|
9 citations, 0.25%
|
|
OAE Publishing Inc.
9 citations, 0.25%
|
|
Research Square Platform LLC
9 citations, 0.25%
|
|
American Association for Cancer Research (AACR)
8 citations, 0.22%
|
|
AME Publishing Company
7 citations, 0.2%
|
|
American Medical Association (AMA)
7 citations, 0.2%
|
|
Impact Journals
6 citations, 0.17%
|
|
American Society of Hematology
6 citations, 0.17%
|
|
Hans Publishers
6 citations, 0.17%
|
|
Cambridge University Press
5 citations, 0.14%
|
|
Neoplasia Press
5 citations, 0.14%
|
|
IGI Global
5 citations, 0.14%
|
|
Rockefeller University Press
4 citations, 0.11%
|
|
IOS Press
4 citations, 0.11%
|
|
Pleiades Publishing
4 citations, 0.11%
|
|
Optica Publishing Group
4 citations, 0.11%
|
|
American Society for Clinical Investigation
4 citations, 0.11%
|
|
Portland Press
4 citations, 0.11%
|
|
Eco-Vector LLC
4 citations, 0.11%
|
|
IOP Publishing
4 citations, 0.11%
|
|
SciELO
4 citations, 0.11%
|
|
F1000 Research
4 citations, 0.11%
|
|
Begell House
3 citations, 0.08%
|
|
American Physiological Society
3 citations, 0.08%
|
|
AIP Publishing
3 citations, 0.08%
|
|
PeerJ
3 citations, 0.08%
|
|
Society for Translational Oncology
3 citations, 0.08%
|
|
Medknow
3 citations, 0.08%
|
|
3 citations, 0.08%
|
|
Remedium, Ltd.
3 citations, 0.08%
|
|
Jaypee Brothers Medical Publishing
3 citations, 0.08%
|
|
Scientific Research Publishing
3 citations, 0.08%
|
|
IntechOpen
3 citations, 0.08%
|
|
South Florida Publishing LLC
3 citations, 0.08%
|
|
XMLink
3 citations, 0.08%
|
|
Emerald
2 citations, 0.06%
|
|
American Society for Microbiology
2 citations, 0.06%
|
|
King Saud University
2 citations, 0.06%
|
|
The Company of Biologists
2 citations, 0.06%
|
|
Journal of Neurosurgery Publishing Group (JNSPG)
2 citations, 0.06%
|
|
The Endocrine Society
2 citations, 0.06%
|
|
Xi'an Jiaotong University
2 citations, 0.06%
|
|
Moffitt Cancer Center
2 citations, 0.06%
|
|
eLife Sciences Publications
2 citations, 0.06%
|
|
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)
2 citations, 0.06%
|
|
SPIE-Intl Soc Optical Eng
2 citations, 0.06%
|
|
PAGEPress Publications
2 citations, 0.06%
|
|
Japanese Society of Internal Medicine
2 citations, 0.06%
|
|
Scientific Scholar
2 citations, 0.06%
|
|
IMR Press
1 citation, 0.03%
|
|
EDP Sciences
1 citation, 0.03%
|
|
Institution of Engineering and Technology (IET)
1 citation, 0.03%
|
|
Pharmaceutical Society of Japan
1 citation, 0.03%
|
|
Proceedings of the National Academy of Sciences (PNAS)
1 citation, 0.03%
|
|
American Association for the Advancement of Science (AAAS)
1 citation, 0.03%
|
|
1 citation, 0.03%
|
|
American Scientific Publishers
1 citation, 0.03%
|
|
Japan Society of Hepatology
1 citation, 0.03%
|
|
Arizona State University
1 citation, 0.03%
|
|
Allen Press
1 citation, 0.03%
|
|
Acoustical Society of America (ASA)
1 citation, 0.03%
|
|
Association for Computing Machinery (ACM)
1 citation, 0.03%
|
|
Society of Nuclear Medicine
1 citation, 0.03%
|
|
Universidade Sao Francisco
1 citation, 0.03%
|
|
Editions E D K
1 citation, 0.03%
|
|
Fundacja Polski Przeglad Chirurgiczny
1 citation, 0.03%
|
|
Association for Research in Vision and Ophthalmology (ARVO)
1 citation, 0.03%
|
|
American College of Physicians
1 citation, 0.03%
|
|
American Society for Biochemistry and Molecular Biology
1 citation, 0.03%
|
|
Korean Society for Biotechnology and Bioengineering
1 citation, 0.03%
|
|
Korean Society of Adult Nursing
1 citation, 0.03%
|
|
Massachusetts Medical Society
1 citation, 0.03%
|
|
Lviv Polytechnic National University
1 citation, 0.03%
|
|
Society for Neuroscience
1 citation, 0.03%
|
|
Show all (70 more) | |
100
200
300
400
500
600
700
800
|
Publishing organizations
5
10
15
20
25
30
35
|
|
Tehran University of Medical Sciences
31 publications, 2.92%
|
|
Iran University of Medical Sciences
21 publications, 1.98%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
17 publications, 1.6%
|
|
University of Sydney
13 publications, 1.23%
|
|
Icahn School of Medicine at Mount Sinai
13 publications, 1.23%
|
|
Pennsylvania State University
11 publications, 1.04%
|
|
Harvard University
10 publications, 0.94%
|
|
University of California, San Francisco
10 publications, 0.94%
|
|
Tata Memorial Centre
9 publications, 0.85%
|
|
Sun Yat-sen University
9 publications, 0.85%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
9 publications, 0.85%
|
|
Tianjin Medical University
9 publications, 0.85%
|
|
University of Melbourne
9 publications, 0.85%
|
|
Shiraz University of Medical Sciences
8 publications, 0.75%
|
|
University of New South Wales
8 publications, 0.75%
|
|
Kyoto University
8 publications, 0.75%
|
|
McGill University
8 publications, 0.75%
|
|
University of Toronto
8 publications, 0.75%
|
|
All India Institute of Medical Sciences, Delhi
7 publications, 0.66%
|
|
Imam Khomeini Hospital
7 publications, 0.66%
|
|
Fudan University
7 publications, 0.66%
|
|
Lund University
7 publications, 0.66%
|
|
University of Oslo
7 publications, 0.66%
|
|
Oslo University Hospital
7 publications, 0.66%
|
|
University of Minnesota
7 publications, 0.66%
|
|
Memorial Sloan Kettering Cancer Center
7 publications, 0.66%
|
|
University of Tokyo
7 publications, 0.66%
|
|
Emory University
7 publications, 0.66%
|
|
Hospital for Sick Children
7 publications, 0.66%
|
|
King Abdulaziz University
6 publications, 0.57%
|
|
Mashhad University of Medical Sciences
6 publications, 0.57%
|
|
Isfahan University of Medical Sciences
6 publications, 0.57%
|
|
Homi Bhabha National Institute
6 publications, 0.57%
|
|
Babol University of Medical Sciences
6 publications, 0.57%
|
|
Zhejiang University
6 publications, 0.57%
|
|
Uppsala University
6 publications, 0.57%
|
|
University of Milan
6 publications, 0.57%
|
|
University of Southern California
6 publications, 0.57%
|
|
Zhengzhou University
6 publications, 0.57%
|
|
Hiroshima University
6 publications, 0.57%
|
|
University of Texas MD Anderson Cancer Center
6 publications, 0.57%
|
|
University of Colorado Anschutz Medical Campus
6 publications, 0.57%
|
|
King Saud bin Abdulaziz University for Health Sciences
5 publications, 0.47%
|
|
Kermanshah University of Medical Sciences
5 publications, 0.47%
|
|
All India Institute of Medical Sciences, Rishikesh
5 publications, 0.47%
|
|
Golestan University of Medical Sciences
5 publications, 0.47%
|
|
Shahrekord University of Medical Sciences
5 publications, 0.47%
|
|
Peking University
5 publications, 0.47%
|
|
Shanghai Jiao Tong University
5 publications, 0.47%
|
|
Karolinska Institute
5 publications, 0.47%
|
|
King's College London
5 publications, 0.47%
|
|
Chang Gung University
5 publications, 0.47%
|
|
Cornell University
5 publications, 0.47%
|
|
Anhui Medical University
5 publications, 0.47%
|
|
Johns Hopkins University
5 publications, 0.47%
|
|
Monash University
5 publications, 0.47%
|
|
University of Western Australia
5 publications, 0.47%
|
|
Auburn University
5 publications, 0.47%
|
|
University of Washington
5 publications, 0.47%
|
|
University of California, San Diego
5 publications, 0.47%
|
|
Osaka University
5 publications, 0.47%
|
|
Vanderbilt University Medical Center
5 publications, 0.47%
|
|
Charité - Universitätsmedizin Berlin
5 publications, 0.47%
|
|
University Medical Center Utrecht
5 publications, 0.47%
|
|
Fukushima Medical University
5 publications, 0.47%
|
|
Shizuoka Cancer Center
5 publications, 0.47%
|
|
Japanese Foundation For Cancer Research
5 publications, 0.47%
|
|
University of Florida
5 publications, 0.47%
|
|
University of Cincinnati
5 publications, 0.47%
|
|
City of Hope National Medical Center
5 publications, 0.47%
|
|
Mawlana Bhashani Science and Technology University
5 publications, 0.47%
|
|
King Faisal Specialist Hospital & Research Centre
4 publications, 0.38%
|
|
Tarbiat Modares University
4 publications, 0.38%
|
|
University of Delhi
4 publications, 0.38%
|
|
Savitribai Phule Pune University
4 publications, 0.38%
|
|
King George's Medical University
4 publications, 0.38%
|
|
Islamic Azad University, Tehran
4 publications, 0.38%
|
|
Universal Scientific Education and Research Network
4 publications, 0.38%
|
|
Manipal Academy of Higher Education
4 publications, 0.38%
|
|
Radboud University Nijmegen Medical Centre
4 publications, 0.38%
|
|
Xiangya Hospital Central South University
4 publications, 0.38%
|
|
Second Xiangya Hospital of Central South University
4 publications, 0.38%
|
|
Chongqing Medical University
4 publications, 0.38%
|
|
University of Geneva
4 publications, 0.38%
|
|
Australian National University
4 publications, 0.38%
|
|
Chinese Academy of Medical Sciences & Peking Union Medical College
4 publications, 0.38%
|
|
Shanghai University of Traditional Chinese Medicine
4 publications, 0.38%
|
|
UiT The Arctic University of Norway
4 publications, 0.38%
|
|
Bengbu Medical College
4 publications, 0.38%
|
|
University of Auckland
4 publications, 0.38%
|
|
Westmead Hospital
4 publications, 0.38%
|
|
University of Tasmania
4 publications, 0.38%
|
|
Flinders University
4 publications, 0.38%
|
|
Royal Prince Alfred Hospital
4 publications, 0.38%
|
|
Mahidol University
4 publications, 0.38%
|
|
Vanderbilt University
4 publications, 0.38%
|
|
German Cancer Research Center
4 publications, 0.38%
|
|
Kobe University
4 publications, 0.38%
|
|
University of British Columbia
4 publications, 0.38%
|
|
McMaster University
4 publications, 0.38%
|
|
Show all (70 more) | |
5
10
15
20
25
30
35
|
Publishing organizations in 5 years
5
10
15
20
25
30
35
|
|
Tehran University of Medical Sciences
31 publications, 3.24%
|
|
Iran University of Medical Sciences
21 publications, 2.19%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
17 publications, 1.77%
|
|
University of Sydney
13 publications, 1.36%
|
|
Pennsylvania State University
11 publications, 1.15%
|
|
Icahn School of Medicine at Mount Sinai
11 publications, 1.15%
|
|
Harvard University
10 publications, 1.04%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
9 publications, 0.94%
|
|
University of California, San Francisco
9 publications, 0.94%
|
|
Shiraz University of Medical Sciences
8 publications, 0.84%
|
|
Tianjin Medical University
8 publications, 0.84%
|
|
Imam Khomeini Hospital
7 publications, 0.73%
|
|
Fudan University
7 publications, 0.73%
|
|
Sun Yat-sen University
7 publications, 0.73%
|
|
University of Oslo
7 publications, 0.73%
|
|
Oslo University Hospital
7 publications, 0.73%
|
|
University of Melbourne
7 publications, 0.73%
|
|
Kyoto University
7 publications, 0.73%
|
|
Emory University
7 publications, 0.73%
|
|
University of Toronto
7 publications, 0.73%
|
|
King Abdulaziz University
6 publications, 0.63%
|
|
Mashhad University of Medical Sciences
6 publications, 0.63%
|
|
Isfahan University of Medical Sciences
6 publications, 0.63%
|
|
Babol University of Medical Sciences
6 publications, 0.63%
|
|
Lund University
6 publications, 0.63%
|
|
University of New South Wales
6 publications, 0.63%
|
|
University of Milan
6 publications, 0.63%
|
|
Zhengzhou University
6 publications, 0.63%
|
|
University of Minnesota
6 publications, 0.63%
|
|
Memorial Sloan Kettering Cancer Center
6 publications, 0.63%
|
|
Hiroshima University
6 publications, 0.63%
|
|
Hospital for Sick Children
6 publications, 0.63%
|
|
King Saud bin Abdulaziz University for Health Sciences
5 publications, 0.52%
|
|
Kermanshah University of Medical Sciences
5 publications, 0.52%
|
|
All India Institute of Medical Sciences, Delhi
5 publications, 0.52%
|
|
All India Institute of Medical Sciences, Rishikesh
5 publications, 0.52%
|
|
Golestan University of Medical Sciences
5 publications, 0.52%
|
|
Shahrekord University of Medical Sciences
5 publications, 0.52%
|
|
Tata Memorial Centre
5 publications, 0.52%
|
|
Zhejiang University
5 publications, 0.52%
|
|
Peking University
5 publications, 0.52%
|
|
Uppsala University
5 publications, 0.52%
|
|
Karolinska Institute
5 publications, 0.52%
|
|
King's College London
5 publications, 0.52%
|
|
Anhui Medical University
5 publications, 0.52%
|
|
Monash University
5 publications, 0.52%
|
|
University of Western Australia
5 publications, 0.52%
|
|
Auburn University
5 publications, 0.52%
|
|
University of Washington
5 publications, 0.52%
|
|
Osaka University
5 publications, 0.52%
|
|
Charité - Universitätsmedizin Berlin
5 publications, 0.52%
|
|
McGill University
5 publications, 0.52%
|
|
University Medical Center Utrecht
5 publications, 0.52%
|
|
University of Tokyo
5 publications, 0.52%
|
|
Fukushima Medical University
5 publications, 0.52%
|
|
Shizuoka Cancer Center
5 publications, 0.52%
|
|
Japanese Foundation For Cancer Research
5 publications, 0.52%
|
|
University of Florida
5 publications, 0.52%
|
|
Mawlana Bhashani Science and Technology University
5 publications, 0.52%
|
|
King Faisal Specialist Hospital & Research Centre
4 publications, 0.42%
|
|
Tarbiat Modares University
4 publications, 0.42%
|
|
Homi Bhabha National Institute
4 publications, 0.42%
|
|
Savitribai Phule Pune University
4 publications, 0.42%
|
|
Islamic Azad University, Tehran
4 publications, 0.42%
|
|
Universal Scientific Education and Research Network
4 publications, 0.42%
|
|
Shanghai Jiao Tong University
4 publications, 0.42%
|
|
Manipal Academy of Higher Education
4 publications, 0.42%
|
|
Radboud University Nijmegen Medical Centre
4 publications, 0.42%
|
|
Xiangya Hospital Central South University
4 publications, 0.42%
|
|
Second Xiangya Hospital of Central South University
4 publications, 0.42%
|
|
Chongqing Medical University
4 publications, 0.42%
|
|
University of Geneva
4 publications, 0.42%
|
|
Australian National University
4 publications, 0.42%
|
|
Chinese Academy of Medical Sciences & Peking Union Medical College
4 publications, 0.42%
|
|
Shanghai University of Traditional Chinese Medicine
4 publications, 0.42%
|
|
UiT The Arctic University of Norway
4 publications, 0.42%
|
|
University of Southern California
4 publications, 0.42%
|
|
Cornell University
4 publications, 0.42%
|
|
Bengbu Medical College
4 publications, 0.42%
|
|
Westmead Hospital
4 publications, 0.42%
|
|
Royal Prince Alfred Hospital
4 publications, 0.42%
|
|
Mahidol University
4 publications, 0.42%
|
|
University of California, San Diego
4 publications, 0.42%
|
|
University of British Columbia
4 publications, 0.42%
|
|
McMaster University
4 publications, 0.42%
|
|
Fred Hutchinson Cancer Center
4 publications, 0.42%
|
|
Institut Curie
4 publications, 0.42%
|
|
People's Liberation Army General Hospital and Medical School (301 Hospital)
4 publications, 0.42%
|
|
Amsterdam University Medical Center
4 publications, 0.42%
|
|
Kindai University
4 publications, 0.42%
|
|
Gifu University
4 publications, 0.42%
|
|
Princess Máxima Center
4 publications, 0.42%
|
|
University of Miami
4 publications, 0.42%
|
|
University of Cincinnati
4 publications, 0.42%
|
|
University of Colorado Anschutz Medical Campus
4 publications, 0.42%
|
|
City of Hope National Medical Center
4 publications, 0.42%
|
|
Indiana University School of Medicine
4 publications, 0.42%
|
|
Huntsman Cancer Institute
4 publications, 0.42%
|
|
St. Jude Children's Research Hospital
4 publications, 0.42%
|
|
King Abdullah International Medical Research Center
3 publications, 0.31%
|
|
Show all (70 more) | |
5
10
15
20
25
30
35
|
Publishing countries
50
100
150
200
250
|
|
USA
|
USA, 241, 22.74%
USA
241 publications, 22.74%
|
China
|
China, 138, 13.02%
China
138 publications, 13.02%
|
Japan
|
Japan, 120, 11.32%
Japan
120 publications, 11.32%
|
Iran
|
Iran, 99, 9.34%
Iran
99 publications, 9.34%
|
India
|
India, 85, 8.02%
India
85 publications, 8.02%
|
Australia
|
Australia, 56, 5.28%
Australia
56 publications, 5.28%
|
United Kingdom
|
United Kingdom, 42, 3.96%
United Kingdom
42 publications, 3.96%
|
Germany
|
Germany, 41, 3.87%
Germany
41 publications, 3.87%
|
Canada
|
Canada, 34, 3.21%
Canada
34 publications, 3.21%
|
Italy
|
Italy, 25, 2.36%
Italy
25 publications, 2.36%
|
Sweden
|
Sweden, 20, 1.89%
Sweden
20 publications, 1.89%
|
Saudi Arabia
|
Saudi Arabia, 19, 1.79%
Saudi Arabia
19 publications, 1.79%
|
France
|
France, 18, 1.7%
France
18 publications, 1.7%
|
Netherlands
|
Netherlands, 17, 1.6%
Netherlands
17 publications, 1.6%
|
Switzerland
|
Switzerland, 16, 1.51%
Switzerland
16 publications, 1.51%
|
Bangladesh
|
Bangladesh, 13, 1.23%
Bangladesh
13 publications, 1.23%
|
Norway
|
Norway, 12, 1.13%
Norway
12 publications, 1.13%
|
Spain
|
Spain, 11, 1.04%
Spain
11 publications, 1.04%
|
Brazil
|
Brazil, 10, 0.94%
Brazil
10 publications, 0.94%
|
Finland
|
Finland, 10, 0.94%
Finland
10 publications, 0.94%
|
Austria
|
Austria, 9, 0.85%
Austria
9 publications, 0.85%
|
Pakistan
|
Pakistan, 9, 0.85%
Pakistan
9 publications, 0.85%
|
Colombia
|
Colombia, 8, 0.75%
Colombia
8 publications, 0.75%
|
Nepal
|
Nepal, 8, 0.75%
Nepal
8 publications, 0.75%
|
Singapore
|
Singapore, 8, 0.75%
Singapore
8 publications, 0.75%
|
Egypt
|
Egypt, 7, 0.66%
Egypt
7 publications, 0.66%
|
Kenya
|
Kenya, 7, 0.66%
Kenya
7 publications, 0.66%
|
New Zealand
|
New Zealand, 7, 0.66%
New Zealand
7 publications, 0.66%
|
Thailand
|
Thailand, 7, 0.66%
Thailand
7 publications, 0.66%
|
Russia
|
Russia, 6, 0.57%
Russia
6 publications, 0.57%
|
Israel
|
Israel, 6, 0.57%
Israel
6 publications, 0.57%
|
Mexico
|
Mexico, 6, 0.57%
Mexico
6 publications, 0.57%
|
Chile
|
Chile, 6, 0.57%
Chile
6 publications, 0.57%
|
Vietnam
|
Vietnam, 5, 0.47%
Vietnam
5 publications, 0.47%
|
Greece
|
Greece, 5, 0.47%
Greece
5 publications, 0.47%
|
Nigeria
|
Nigeria, 5, 0.47%
Nigeria
5 publications, 0.47%
|
Republic of Korea
|
Republic of Korea, 5, 0.47%
Republic of Korea
5 publications, 0.47%
|
Turkey
|
Turkey, 5, 0.47%
Turkey
5 publications, 0.47%
|
South Africa
|
South Africa, 5, 0.47%
South Africa
5 publications, 0.47%
|
Belgium
|
Belgium, 4, 0.38%
Belgium
4 publications, 0.38%
|
Jordan
|
Jordan, 4, 0.38%
Jordan
4 publications, 0.38%
|
Ireland
|
Ireland, 4, 0.38%
Ireland
4 publications, 0.38%
|
Qatar
|
Qatar, 4, 0.38%
Qatar
4 publications, 0.38%
|
UAE
|
UAE, 4, 0.38%
UAE
4 publications, 0.38%
|
Portugal
|
Portugal, 3, 0.28%
Portugal
3 publications, 0.28%
|
Algeria
|
Algeria, 3, 0.28%
Algeria
3 publications, 0.28%
|
Ghana
|
Ghana, 3, 0.28%
Ghana
3 publications, 0.28%
|
Denmark
|
Denmark, 3, 0.28%
Denmark
3 publications, 0.28%
|
Indonesia
|
Indonesia, 3, 0.28%
Indonesia
3 publications, 0.28%
|
Cambodia
|
Cambodia, 3, 0.28%
Cambodia
3 publications, 0.28%
|
Democratic Republic of the Congo
|
Democratic Republic of the Congo, 3, 0.28%
Democratic Republic of the Congo
3 publications, 0.28%
|
Poland
|
Poland, 3, 0.28%
Poland
3 publications, 0.28%
|
Rwanda
|
Rwanda, 3, 0.28%
Rwanda
3 publications, 0.28%
|
Syria
|
Syria, 3, 0.28%
Syria
3 publications, 0.28%
|
Afghanistan
|
Afghanistan, 2, 0.19%
Afghanistan
2 publications, 0.19%
|
Bulgaria
|
Bulgaria, 2, 0.19%
Bulgaria
2 publications, 0.19%
|
Hungary
|
Hungary, 2, 0.19%
Hungary
2 publications, 0.19%
|
Cyprus
|
Cyprus, 2, 0.19%
Cyprus
2 publications, 0.19%
|
Kuwait
|
Kuwait, 2, 0.19%
Kuwait
2 publications, 0.19%
|
Lebanon
|
Lebanon, 2, 0.19%
Lebanon
2 publications, 0.19%
|
Malaysia
|
Malaysia, 2, 0.19%
Malaysia
2 publications, 0.19%
|
Morocco
|
Morocco, 2, 0.19%
Morocco
2 publications, 0.19%
|
Peru
|
Peru, 2, 0.19%
Peru
2 publications, 0.19%
|
Czech Republic
|
Czech Republic, 2, 0.19%
Czech Republic
2 publications, 0.19%
|
Sri Lanka
|
Sri Lanka, 2, 0.19%
Sri Lanka
2 publications, 0.19%
|
Ecuador
|
Ecuador, 2, 0.19%
Ecuador
2 publications, 0.19%
|
Ethiopia
|
Ethiopia, 2, 0.19%
Ethiopia
2 publications, 0.19%
|
Kazakhstan
|
Kazakhstan, 1, 0.09%
Kazakhstan
1 publication, 0.09%
|
Belarus
|
Belarus, 1, 0.09%
Belarus
1 publication, 0.09%
|
Argentina
|
Argentina, 1, 0.09%
Argentina
1 publication, 0.09%
|
Armenia
|
Armenia, 1, 0.09%
Armenia
1 publication, 0.09%
|
Brunei
|
Brunei, 1, 0.09%
Brunei
1 publication, 0.09%
|
Gabon
|
Gabon, 1, 0.09%
Gabon
1 publication, 0.09%
|
Guinea
|
Guinea, 1, 0.09%
Guinea
1 publication, 0.09%
|
Zambia
|
Zambia, 1, 0.09%
Zambia
1 publication, 0.09%
|
Zimbabwe
|
Zimbabwe, 1, 0.09%
Zimbabwe
1 publication, 0.09%
|
Iraq
|
Iraq, 1, 0.09%
Iraq
1 publication, 0.09%
|
Côte d'Ivoire
|
Côte d'Ivoire, 1, 0.09%
Côte d'Ivoire
1 publication, 0.09%
|
Latvia
|
Latvia, 1, 0.09%
Latvia
1 publication, 0.09%
|
Libya
|
Libya, 1, 0.09%
Libya
1 publication, 0.09%
|
Luxembourg
|
Luxembourg, 1, 0.09%
Luxembourg
1 publication, 0.09%
|
Mongolia
|
Mongolia, 1, 0.09%
Mongolia
1 publication, 0.09%
|
Nicaragua
|
Nicaragua, 1, 0.09%
Nicaragua
1 publication, 0.09%
|
Oman
|
Oman, 1, 0.09%
Oman
1 publication, 0.09%
|
El Salvador
|
El Salvador, 1, 0.09%
El Salvador
1 publication, 0.09%
|
Senegal
|
Senegal, 1, 0.09%
Senegal
1 publication, 0.09%
|
Sudan
|
Sudan, 1, 0.09%
Sudan
1 publication, 0.09%
|
Tanzania
|
Tanzania, 1, 0.09%
Tanzania
1 publication, 0.09%
|
Tunisia
|
Tunisia, 1, 0.09%
Tunisia
1 publication, 0.09%
|
Uruguay
|
Uruguay, 1, 0.09%
Uruguay
1 publication, 0.09%
|
Faroe Islands
|
Faroe Islands, 1, 0.09%
Faroe Islands
1 publication, 0.09%
|
Croatia
|
Croatia, 1, 0.09%
Croatia
1 publication, 0.09%
|
Show all (62 more) | |
50
100
150
200
250
|
Publishing countries in 5 years
50
100
150
200
250
|
|
USA
|
USA, 206, 21.5%
USA
206 publications, 21.5%
|
China
|
China, 126, 13.15%
China
126 publications, 13.15%
|
Japan
|
Japan, 112, 11.69%
Japan
112 publications, 11.69%
|
Iran
|
Iran, 99, 10.33%
Iran
99 publications, 10.33%
|
India
|
India, 71, 7.41%
India
71 publications, 7.41%
|
Australia
|
Australia, 48, 5.01%
Australia
48 publications, 5.01%
|
Germany
|
Germany, 39, 4.07%
Germany
39 publications, 4.07%
|
United Kingdom
|
United Kingdom, 36, 3.76%
United Kingdom
36 publications, 3.76%
|
Canada
|
Canada, 29, 3.03%
Canada
29 publications, 3.03%
|
Italy
|
Italy, 21, 2.19%
Italy
21 publications, 2.19%
|
Saudi Arabia
|
Saudi Arabia, 19, 1.98%
Saudi Arabia
19 publications, 1.98%
|
France
|
France, 17, 1.77%
France
17 publications, 1.77%
|
Sweden
|
Sweden, 17, 1.77%
Sweden
17 publications, 1.77%
|
Netherlands
|
Netherlands, 16, 1.67%
Netherlands
16 publications, 1.67%
|
Switzerland
|
Switzerland, 15, 1.57%
Switzerland
15 publications, 1.57%
|
Bangladesh
|
Bangladesh, 13, 1.36%
Bangladesh
13 publications, 1.36%
|
Norway
|
Norway, 12, 1.25%
Norway
12 publications, 1.25%
|
Spain
|
Spain, 11, 1.15%
Spain
11 publications, 1.15%
|
Finland
|
Finland, 10, 1.04%
Finland
10 publications, 1.04%
|
Brazil
|
Brazil, 9, 0.94%
Brazil
9 publications, 0.94%
|
Austria
|
Austria, 8, 0.84%
Austria
8 publications, 0.84%
|
Colombia
|
Colombia, 8, 0.84%
Colombia
8 publications, 0.84%
|
Nepal
|
Nepal, 8, 0.84%
Nepal
8 publications, 0.84%
|
Pakistan
|
Pakistan, 8, 0.84%
Pakistan
8 publications, 0.84%
|
Egypt
|
Egypt, 7, 0.73%
Egypt
7 publications, 0.73%
|
Kenya
|
Kenya, 7, 0.73%
Kenya
7 publications, 0.73%
|
Thailand
|
Thailand, 7, 0.73%
Thailand
7 publications, 0.73%
|
Israel
|
Israel, 6, 0.63%
Israel
6 publications, 0.63%
|
Mexico
|
Mexico, 6, 0.63%
Mexico
6 publications, 0.63%
|
New Zealand
|
New Zealand, 6, 0.63%
New Zealand
6 publications, 0.63%
|
Singapore
|
Singapore, 6, 0.63%
Singapore
6 publications, 0.63%
|
Vietnam
|
Vietnam, 5, 0.52%
Vietnam
5 publications, 0.52%
|
Greece
|
Greece, 5, 0.52%
Greece
5 publications, 0.52%
|
Nigeria
|
Nigeria, 5, 0.52%
Nigeria
5 publications, 0.52%
|
Turkey
|
Turkey, 5, 0.52%
Turkey
5 publications, 0.52%
|
Chile
|
Chile, 5, 0.52%
Chile
5 publications, 0.52%
|
South Africa
|
South Africa, 5, 0.52%
South Africa
5 publications, 0.52%
|
Russia
|
Russia, 4, 0.42%
Russia
4 publications, 0.42%
|
Belgium
|
Belgium, 4, 0.42%
Belgium
4 publications, 0.42%
|
Jordan
|
Jordan, 4, 0.42%
Jordan
4 publications, 0.42%
|
Qatar
|
Qatar, 4, 0.42%
Qatar
4 publications, 0.42%
|
UAE
|
UAE, 4, 0.42%
UAE
4 publications, 0.42%
|
Republic of Korea
|
Republic of Korea, 4, 0.42%
Republic of Korea
4 publications, 0.42%
|
Portugal
|
Portugal, 3, 0.31%
Portugal
3 publications, 0.31%
|
Ghana
|
Ghana, 3, 0.31%
Ghana
3 publications, 0.31%
|
Denmark
|
Denmark, 3, 0.31%
Denmark
3 publications, 0.31%
|
Cambodia
|
Cambodia, 3, 0.31%
Cambodia
3 publications, 0.31%
|
Democratic Republic of the Congo
|
Democratic Republic of the Congo, 3, 0.31%
Democratic Republic of the Congo
3 publications, 0.31%
|
Poland
|
Poland, 3, 0.31%
Poland
3 publications, 0.31%
|
Rwanda
|
Rwanda, 3, 0.31%
Rwanda
3 publications, 0.31%
|
Syria
|
Syria, 3, 0.31%
Syria
3 publications, 0.31%
|
Algeria
|
Algeria, 2, 0.21%
Algeria
2 publications, 0.21%
|
Afghanistan
|
Afghanistan, 2, 0.21%
Afghanistan
2 publications, 0.21%
|
Bulgaria
|
Bulgaria, 2, 0.21%
Bulgaria
2 publications, 0.21%
|
Indonesia
|
Indonesia, 2, 0.21%
Indonesia
2 publications, 0.21%
|
Ireland
|
Ireland, 2, 0.21%
Ireland
2 publications, 0.21%
|
Cyprus
|
Cyprus, 2, 0.21%
Cyprus
2 publications, 0.21%
|
Kuwait
|
Kuwait, 2, 0.21%
Kuwait
2 publications, 0.21%
|
Lebanon
|
Lebanon, 2, 0.21%
Lebanon
2 publications, 0.21%
|
Morocco
|
Morocco, 2, 0.21%
Morocco
2 publications, 0.21%
|
Peru
|
Peru, 2, 0.21%
Peru
2 publications, 0.21%
|
Czech Republic
|
Czech Republic, 2, 0.21%
Czech Republic
2 publications, 0.21%
|
Sri Lanka
|
Sri Lanka, 2, 0.21%
Sri Lanka
2 publications, 0.21%
|
Ecuador
|
Ecuador, 2, 0.21%
Ecuador
2 publications, 0.21%
|
Ethiopia
|
Ethiopia, 2, 0.21%
Ethiopia
2 publications, 0.21%
|
Kazakhstan
|
Kazakhstan, 1, 0.1%
Kazakhstan
1 publication, 0.1%
|
Belarus
|
Belarus, 1, 0.1%
Belarus
1 publication, 0.1%
|
Argentina
|
Argentina, 1, 0.1%
Argentina
1 publication, 0.1%
|
Armenia
|
Armenia, 1, 0.1%
Armenia
1 publication, 0.1%
|
Brunei
|
Brunei, 1, 0.1%
Brunei
1 publication, 0.1%
|
Hungary
|
Hungary, 1, 0.1%
Hungary
1 publication, 0.1%
|
Gabon
|
Gabon, 1, 0.1%
Gabon
1 publication, 0.1%
|
Guinea
|
Guinea, 1, 0.1%
Guinea
1 publication, 0.1%
|
Zimbabwe
|
Zimbabwe, 1, 0.1%
Zimbabwe
1 publication, 0.1%
|
Iraq
|
Iraq, 1, 0.1%
Iraq
1 publication, 0.1%
|
Côte d'Ivoire
|
Côte d'Ivoire, 1, 0.1%
Côte d'Ivoire
1 publication, 0.1%
|
Latvia
|
Latvia, 1, 0.1%
Latvia
1 publication, 0.1%
|
Libya
|
Libya, 1, 0.1%
Libya
1 publication, 0.1%
|
Luxembourg
|
Luxembourg, 1, 0.1%
Luxembourg
1 publication, 0.1%
|
Malaysia
|
Malaysia, 1, 0.1%
Malaysia
1 publication, 0.1%
|
Mongolia
|
Mongolia, 1, 0.1%
Mongolia
1 publication, 0.1%
|
Nicaragua
|
Nicaragua, 1, 0.1%
Nicaragua
1 publication, 0.1%
|
Oman
|
Oman, 1, 0.1%
Oman
1 publication, 0.1%
|
El Salvador
|
El Salvador, 1, 0.1%
El Salvador
1 publication, 0.1%
|
Senegal
|
Senegal, 1, 0.1%
Senegal
1 publication, 0.1%
|
Sudan
|
Sudan, 1, 0.1%
Sudan
1 publication, 0.1%
|
Tanzania
|
Tanzania, 1, 0.1%
Tanzania
1 publication, 0.1%
|
Tunisia
|
Tunisia, 1, 0.1%
Tunisia
1 publication, 0.1%
|
Uruguay
|
Uruguay, 1, 0.1%
Uruguay
1 publication, 0.1%
|
Faroe Islands
|
Faroe Islands, 1, 0.1%
Faroe Islands
1 publication, 0.1%
|
Croatia
|
Croatia, 1, 0.1%
Croatia
1 publication, 0.1%
|
Show all (61 more) | |
50
100
150
200
250
|
1 profile journal article
Athena Farahzadi
6 publications,
6 citations
h-index: 1
1 profile journal article
Yadav Lokendra
6 publications,
30 citations
h-index: 4