Soonchunhyang University

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Soonchunhyang University
Short name
SCH
Country, city
Republic of Korea, Seoul
Publications
7 879
Citations
130 109
h-index
118
Top-3 journals
IEEE Access
IEEE Access (111 publications)
Sensors
Sensors (95 publications)
Top-3 organizations
Yonsei University
Yonsei University (839 publications)
Seoul National University
Seoul National University (809 publications)
Top-3 foreign organizations
Johns Hopkins University
Johns Hopkins University (40 publications)
Harvard University
Harvard University (39 publications)
Stanford University
Stanford University (32 publications)

Most cited in 5 years

Ha H., Yu M.R., Choi Y.J., Kitamura M., Lee H.B.
2021-04-27 citations by CoLab: 213 Abstract  
ABSTRACT. Although high glucose (HG) has been shown to induce nuclear factor-κB (NF-κB) activation in vascular cells, the upstream regulation and the biologic significance of NF-κB activation in diabetic renal injury are not clear. It was, therefore, examined if HG-induced generation of reactive oxygen species (ROS) and protein kinase C (PKC) activation are involved in NF-κB activation in mesangial cells (MC), and the role of NF-κB activation in HG-induced monocyte chemoattractant protein-1 (MCP-1) expression by MC was further investigated. Recent observations suggest that MCP-1 may play a role in the development and progression of diabetic nephropathy. HG rapidly induced NF-κB activation in MC as estimated by electrophoretic mobility shift assay. Supershift assay suggests that most of the binding activity arose from p50/p50 and p50/p65 dimers. Antioxidants, pyrrolidine dithiocarbamate, n -acetyl- l -cystein, and trolox effectively inhibited HG-induced NF-κB activation in MC. HG rapidly generated dichlorofluorescin-sensitive intracellular ROS in MC as measured by laser-scanning confocal microscopy. HG also activated PKC rapidly in MC. Inhibition of PKC effectively blocked HG-induced intracellular ROS generation and NF-κB activation in MC. HG increased MCP-1 mRNA expression by 1.9-fold and protein secretion by 1.6-fold that of control glucose in MC transfected with control vector but not in MC transfected with dominant negative mutant inhibitor of NF-κB (IκBαM). Inhibition of either PKC or ROS effectively blocked HG-induced, but not basal, MCP-1 protein secretion by MC transfected with control vector. Thus this study demonstrates that HG rapidly activates NF-κB in MC through PKC and ROS and suggests that HG-induced NF-κB activation in MC may play a role in diabetic renal injury through upregulation of MCP-1 mRNA and protein expression.
Roh T., Seok J., Kim Y.
2022-07-01 citations by CoLab: 212 Abstract  
This paper aims to investigate organic food consumption based on the perspectives of an extended research model by integrating the theory of consumption value (TCV) and the theory of reasoned action (TRA). First, we tried to find out how five consumption values of functional, social, emotional, conditional, and epistemic in classic TCV influence consumption choice especially in the sustainable consumption domain of organic food, interpreted as green perceived value (GPV) in the reflective-reflective second-order latent. Second, as an attempt to extend the classic TRA, this study included trust and perceived knowledge in the research model in addition to the subjective norm, attitude, and behavioral intention. A partial least square structural equation method (PLS-SEM) was adopted to examine our research model with 251 samples. Our results revealed that GPV significantly affects consumer attitudes. Consumer attitudes and subjective norms also have a significantly positive effect on purchase intention. As an extended TRA, GPV has a significantly positive effect on trust while trust significantly impacts purchase intention. Further, perceived knowledge positively influences attitude and trust. By jointly considering TCV and TRA, this study proposes several implications emphasizing how GPV and perceived knowledge affects consumers’ organic food consumption choice based on the role of increased trust.
Dangi R., Lalwani P., Choudhary G., You I., Pau G.
Sensors scimago Q1 wos Q2 Open Access
2021-12-22 citations by CoLab: 211 PDF Abstract  
In wireless communication, Fifth Generation (5G) Technology is a recent generation of mobile networks. In this paper, evaluations in the field of mobile communication technology are presented. In each evolution, multiple challenges were faced that were captured with the help of next-generation mobile networks. Among all the previously existing mobile networks, 5G provides a high-speed internet facility, anytime, anywhere, for everyone. 5G is slightly different due to its novel features such as interconnecting people, controlling devices, objects, and machines. 5G mobile system will bring diverse levels of performance and capability, which will serve as new user experiences and connect new enterprises. Therefore, it is essential to know where the enterprise can utilize the benefits of 5G. In this research article, it was observed that extensive research and analysis unfolds different aspects, namely, millimeter wave (mmWave), massive multiple-input and multiple-output (Massive-MIMO), small cell, mobile edge computing (MEC), beamforming, different antenna technology, etc. This article’s main aim is to highlight some of the most recent enhancements made towards the 5G mobile system and discuss its future research objectives.
Chang Y., Jeong S.W., Young Jang J., Jae Kim Y.
2020-10-31 citations by CoLab: 191 PDF Abstract  
Transarterial chemoembolization (TACE) is a standard treatment for intermediate-stage hepatocellular carcinoma (HCC). In this review, we summarize recent updates on the use of TACE for HCC. TACE can be performed using two techniques; conventional TACE (cTACE) and drug-eluting beads using TACE (DEB-TACE). The anti-tumor effect of the two has been reported to be similar; however, DEB-TACE carries a higher risk of hepatic artery and biliary injuries and a relatively lower risk of post-procedural pain than cTACE. TACE can be used for early stage HCC if other curative treatments are not feasible or as a neoadjuvant treatment before liver transplantation. TACE can also be considered for selected patients with limited portal vein thrombosis and preserved liver function. When deciding to repeat TACE, the ART (Assessment for Retreatment with TACE) score and ABCR (AFP, BCLC, Child-Pugh, and Response) score can guide the decision process, and TACE refractoriness needs to be considered. Studies on the combination therapy of TACE with other treatment modalities, such as local ablation, radiation therapy, or systemic therapy, have been actively conducted and are still ongoing. Recently, new prognostic models, including analysis of the neutrophil-lymphocyte ratio, radiomics, and deep learning, have been developed to help predict survival after TACE.
Roh T., Lee K., Yang J.Y.
Journal of Cleaner Production scimago Q1 wos Q1 Open Access
2021-10-01 citations by CoLab: 186 Abstract  
Although the existing literature on green innovation has little focus on the mediation role of open innovation, we aimed to explore how intellectual property rights and government support affect green innovation through open innovation. Drawing upon open innovation literature, this paper aims to investigate, at the firm level, the structural causality between internal and external resources and examine the role of open innovation on green innovation divided into green process and green product innovation. We attempt to suggest a structural model comparing open innovation's direct and mediating role using data from manufacturing sectors in South Korea from 2014 to 2016. The methodology was based on the partial least square structural equation method (PLS-SEM) with 1203 samples. The results revealed that a firm's intellectual property rights and government support significantly affect open innovation, green process innovation, and green product innovation while open innovation played a mediating role between each. Additionally, we provide a supplementary analysis using the sample-split test by comparing the sensitivity to partner selection and the multigroup test by firm size. This study proposes several implications emphasizing the mediating role of open innovation in enhancing green process innovation along with the direct and indirect effect of intellectual property rights and government support on green innovation.
Rim B., Sung N., Min S., Hong M.
Sensors scimago Q1 wos Q2 Open Access
2020-02-11 citations by CoLab: 169 PDF Abstract  
Deep Learning (DL), a successful promising approach for discriminative and generative tasks, has recently proved its high potential in 2D medical imaging analysis; however, physiological data in the form of 1D signals have yet to be beneficially exploited from this novel approach to fulfil the desired medical tasks. Therefore, in this paper we survey the latest scientific research on deep learning in physiological signal data such as electromyogram (EMG), electrocardiogram (ECG), electroencephalogram (EEG), and electrooculogram (EOG). We found 147 papers published between January 2018 and October 2019 inclusive from various journals and publishers. The objective of this paper is to conduct a detailed study to comprehend, categorize, and compare the key parameters of the deep-learning approaches that have been used in physiological signal analysis for various medical applications. The key parameters of deep-learning approach that we review are the input data type, deep-learning task, deep-learning model, training architecture, and dataset sources. Those are the main key parameters that affect system performance. We taxonomize the research works using deep-learning method in physiological signal analysis based on: (1) physiological signal data perspective, such as data modality and medical application; and (2) deep-learning concept perspective such as training architecture and dataset sources.
Xayasouk T., Lee H., Lee G.
Sustainability scimago Q1 wos Q2 Open Access
2020-03-24 citations by CoLab: 141 PDF Abstract  
Many countries worldwide have poor air quality due to the emission of particulate matter (i.e., PM10 and PM2.5), which has led to concerns about human health impacts in urban areas. In this study, we developed models to predict fine PM concentrations using long short-term memory (LSTM) and deep autoencoder (DAE) methods, and compared the model results in terms of root mean square error (RMSE). We applied the models to hourly air quality data from 25 stations in Seoul, South Korea, for the period from 1 January 2015, to 31 December 2018. Fine PM concentrations were predicted for the 10 days following this period, at an optimal learning rate of 0.01 for 100 epochs with batch sizes of 32 for LSTM model, and DAEs model performed best with batch size 64. The proposed models effectively predicted fine PM concentrations, with the LSTM model showing slightly better performance. With our forecasting model, it is possible to give reliable fine dust prediction information for the area where the user is located.
Dinh H.T., Yun J., Kim D.M., Lee K., Kim D.
IEEE Access scimago Q1 wos Q2 Open Access
2020-03-10 citations by CoLab: 135 Abstract  
With the development of new technologies in the field of renewable energy and batteries, increasing number of houses have been equipped with renewable energy sources (RES) and energy storage systems (ESS) to reduce home energy cost. These houses usually have home energy management systems (HEMS) to control and schedule every electrical device. Various studies have been conducted on HEMS and optimization algorithms for energy cost and peak-to-average ratio (PAR) reduction. However, none of papers give a sufficient study on the utilization of main grid’s electricity and selling electricity. In this paper, firstly, we propose a new HEMS architecture with RES and ESS where we take utilization of the electricity of the main grid and electricity selling into account. With the proposed HEMS, we build general mathematical formulas for energy cost and PAR during a day. We then optimize these formulas using both the particle swarm optimization (PSO) and the binary particle swarm optimization (BPSO). Results clearly show that, with our HEMS system, RES and ESS can help to drop home energy cost significantly to 19.7%, compared with the results of previous works. By increasing charge/discharge rate of ESS, energy cost can be decreased by 4.3% for 0.6 kW and 8.5% for 0.9 kW. Moreover, by using multi-objective optimization, our system can achieve better PAR with an acceptable energy cost.
Choi H.W., Shin D., Yang J., Lee S., Figueiredo C., Sinopoli S., Ullrich K., Jovančić P., Marrani A., Momentè R., Gomes J., Branquinho R., Emanuele U., Lee H., Bang S.Y., et. al.
Nature Communications scimago Q1 wos Q1 Open Access
2022-02-10 citations by CoLab: 135 PDF Abstract  
Smart textiles consist of discrete devices fabricated from—or incorporated onto—fibres. Despite the tremendous progress in smart textiles for lighting/display applications, a large scale approach for a smart display system with integrated multifunctional devices in traditional textile platforms has yet to be demonstrated. Here we report the realisation of a fully operational 46-inch smart textile lighting/display system consisting of RGB fibrous LEDs coupled with multifunctional fibre devices that are capable of wireless power transmission, touch sensing, photodetection, environmental/biosignal monitoring, and energy storage. The smart textile display system exhibits full freedom of form factors, including flexibility, bendability, and rollability as a vivid RGB lighting/grey-level-controlled full colour display apparatus with embedded fibre devices that are configured to provide external stimuli detection. Our systematic design and integration strategies are transformational and provide the foundation for realising highly functional smart lighting/display textiles over large area for revolutionary applications on smart homes and internet of things (IoT). A large scale approach for multifunctional smart display systems in traditional textiles has yet to be demonstrated. Here, authors present a foldable, rollable 46-inch smart textile lighting/display system for smart homes and internet of things applications via the systematic design and integration of versatile fibre devices into textile form factors.
Li Z., Sharma V., P. Mohanty S.
2020-05-01 citations by CoLab: 131 Abstract  
Data have always been a major priority for businesses of all sizes. Businesses tend to enhance their ability in contextualizing data and draw new insights from it as the data itself proliferates with the advancement of technologies. Federated learning acts as a special form of privacy-preserving machine learning technique and can contextualize the data. It is a decentralized training approach for privately collecting and training the data provided by mobile devices, which are located at different geographical locations. Furthermore, users can benefit from obtaining a well-trained machine learning model without sending their privacy-sensitive personal data to the cloud. This article focuses on the most significant challenges associated with the preservation of data privacy via federated learning. Valuable attack mechanisms are discussed, and associated solutions are highlighted to the corresponding attack. Several research aspects along with promising future directions and applications via federated learning are additionally discussed.
Martin G.L., Lee S., Kim J., Jeong Y., Kang A.R., Woo J.
Applied Sciences (Switzerland) scimago Q2 wos Q2 Open Access
2025-03-10 citations by CoLab: 0 PDF Abstract  
The prevalence of non-executable malware is on the rise, presenting a major threat to users, including major public institutions and corporations. While extensive research has been conducted on detecting malware threats, there is a noticeable gap in studying document-type malware compared with executable files. The proposed model will solve this gap by detecting and classifying document-type malware families using script codes, including tags, to write documents and script languages to execute malicious functions. These script codes offer insights into how the malware was constructed and operates on the victim’s system. Additionally, we leverage language models in our approach. Initially, we develop MalCode2Vec to learn associations between source codes and represent them as numeric vectors. Subsequently, we design a Transformer-based model for document malware detection and family classification. Detection is conducted at both the stream and file levels. To solve the class imbalance issue in the malware family, we utilize a generative adversarial network to generate malware samples. Our experimental domain focuses on the Hangul (Korean) word processor, a tool notably used by North Korea in targeting the South Korean government.
Chi S., Ko J., Kang J., Gim J., Lee M.
2025-03-05 citations by CoLab: 0
Jeong S., Min S.D.
IEEE Sensors Journal scimago Q1 wos Q2
2025-03-03 citations by CoLab: 0
Lee Y.J., Lee J.Y., Cho J.H., Kang Y.J., Choi J.H.
2025-03-01 citations by CoLab: 0
Kim J., Jo T., Nam H., Kim B.J., Nam S.M., Kim J., Choi J., Jeong W.
2025-03-01 citations by CoLab: 0 Abstract  
The aim of this study was to investigate the impact of exosomes derived from adipose-derived stem cells (ASCs) on complications arising from hyaluronic acid (HA) filler injections.
Jin H., Eom Y.
2025-03-01 citations by CoLab: 0 Abstract  
The escalation of fungal infections is driving an increase in disease and mortality rates. In particular, the emergence of Candida auris (C. auris), which shows powerful resistance to the antifungal drug fluconazole, is becoming a global concern. Furthermore, several biological hurdles need to be overcome by candidate therapeutics because C. auris has the ability to form biofilm. Therefore, this study aimed to investigate the antifungal and anti-biofilm effects of plumbagin, a natural extract, against fluconazole-resistant C. auris (FRCA). The minimum inhibitory concentrations (MICs) of fluconazole and plumbagin were determined against clinically isolated C. auris. Inhibition of biofilm formation and eradication effects of plumbagin against FRCA were confirmed through minimum biofilm inhibition concentration (MBIC) and minimum biofilm eradication concentration (MBEC) assays. Additionally, the inhibition of metabolic activity in biofilm cells was verified through quantification by XTT reduction assay and visualization by confocal laser scanning microscopy (CLSM). The relative expression levels of the azole resistant gene ERG11, the efflux pump gene CDR1, and the extracellular matrix gene KRE6, were measured. Plumbagin exhibits antifungal efficacy against C. auris and has been shown to effectively inhibit both the formation and eradication of biofilms produced by FRCA. Furthermore, the metabolic activity inhibition in biofilm cells was both quantified and visually observed. The downregulation of all genes (ERG11, CDR1, and KRE6) by plumbagin was confirmed. Taken together, this study demonstrates that plumbagin has antifungal and anti-biofilm efficacy against FRCA, indicating its potential as an alternative to antifungal agents and a valuable resource in combating FRCA infections.
Liang J., Ma C., Kim K.
Ecology and Evolution scimago Q1 wos Q2 Open Access
2025-02-26 citations by CoLab: 0 PDF Abstract  
ABSTRACTAlthough islands in South Korea have been significantly impacted by human activities, marine ecological studies focusing on island coasts have been limited. Due to their distinct characteristics, macrobenthos is extensively utilized to assess the impact of anthropogenic influences on the marine environment. In August 2010, August 2011, and September 2012, samples of macrobenthic communities, bottom water, and sediment were collected from the subtidal zones around southern Jindo and northern Jeju islands in South Korea. Macrobenthos was identified to the species level using a stereomicroscope. Bottom seawater quality was evaluated, with a focus on dissolved heavy metal concentrations (As, Cr, Cd, Cu, Pb, and Zn). Additionally, we measured the organic matter content and mean grain size of the sediment. There were marked differences in macrobenthic community structures between the two islands, including the number of species, species abundance, species richness index, and Pielou's evenness index (p < 0.05). Cluster analysis, non‐metric analysis, permutational multivariate analysis of variance (PERMANOVA), and permutational analysis of multivariate dispersion (PERMDISP) revealed variations in macrobenthic communities between the two islands and over the years 2010, 2011, and 2012. According to the Biota‐Environment Matching (BIO‐ENV), distance‐based redundancy analysis (dbRDA), and distance‐based linear model analyses (DistLM), the principal environmental variables influencing the distribution of macrobenthic communities are Cd and As. These variations likely result from different levels of human activity on each island. Moreover, interannual variations in macrobenthic communities, especially in 2012, were predominantly influenced by Pb and Cr, likely due to alterations in the influence of the Changjiang (Yangtze River) diluted water.
Kim H., Kim J., Shin Y.E., Yoo H., Yoo J., Kim S.G., Kim Y.
Scientific Reports scimago Q1 wos Q1 Open Access
2025-02-15 citations by CoLab: 0 PDF Abstract  
Besifovir dipivoxil maleate (BSV) is a novel antiviral agent widely used in South Korea for treating chronic hepatitis B (CHB). This study aimed to compare the incidence of hepatocellular carcinoma (HCC) following long-term use of BSV versus tenofovir alafenamide fumarate (TAF), utilizing large-scale national data. A total of 41,949 patients were analyzed, with propensity score matching (PSM) yielding 2,239 BSV and 6,717 TAF patients. The HCC incidence rate per 1,000 person-years was 1.8 for BSV versus 2.4 for TAF before matching (P = 0.057) and 1.6 versus 2.2 after matching (P = 0.284). Multivariate Cox regression identified age, male sex, antiviral duration, Charlson Comorbidity Index (CCI) score, and decompensated cirrhosis as significant risk factors for HCC, while antiviral type was not (HR 1.12, P = 0.413). Subgroup analyses showed no significant differences in HCC incidence between BSV and TAF in cirrhotic or non-cirrhotic patients. These findings suggest that BSV offers comparable efficacy to TAF in preventing HCC and is a promising option for CHB management. Longer-term studies with larger cohorts are necessary to confirm these results and assess the full impact of BSV on HCC prevention.
Lee Y., Lee S., Kim S.K., Yon D.K., Nam Y., Lee J.
IEEE Sensors Journal scimago Q1 wos Q2
2025-02-15 citations by CoLab: 0
Liang J., Ma C., Kim K.
Animals scimago Q1 wos Q1 Open Access
2025-02-13 citations by CoLab: 0 PDF Abstract  
Background: Jeju Island is a world-renowned tourist destination. However, with the increasing intensity of anthropogenic activities, the coastal marine environment of Jeju Island has been negatively affected. Methods and Results: Our study used five benthic indices to assess the ecological quality of the subtidal zone in northern Jeju Island. Our analysis indicated that apart from the benthic polychaetes amphipods index (BPA), other benthic indices assessed the ecological quality of the subtidal zone in northern Jeju Island as high or good. Distance-based redundancy analysis (dbRDA) indicated that pH and salinity primarily influenced macrobenthic communities in 2011 and 2012. According to the Spearman rank correlation analysis, the multivariate AZTI marine biotic Index (M-AMBI) showed stronger correlations with environmental data than other benthic indices. Conclusions: Overall, the averages of the five benthic indices suggested that the benthic ecological quality of the subtidal zone in the northern part of Jeju Island was high or good. Although immediate marine environmental management is not required, long-term monitoring remains essential. M-AMBI outperformed other benthic indices; however, we recommend using multiple benthic indices to assess the benthic ecological quality of Jeju Island due to the complexity of marine ecosystems. Effective support has been provided by our study for the marine environmental conservation along the coast of Jeju Island.
Kim W., Kang H., Lee S.
2025-02-11 citations by CoLab: 0 PDF Abstract  
Melanin overproduction causes various skin diseases, such as spots, freckles, and wrinkles, resulting in the requirement of melanin synthesis inhibitors like 1-phenyl-2-thiourea (PTU) and kojic acid, which have been commonly used in the pharmaceutical industry. However, these inhibitors can cause side effects such as skin irritation and allergies. Therefore, it is necessary to develop safe and effective melanin inhibitors from natural resources. The purpose of this study was to investigate a whitening agent from natural substances using B16F10 melanoma cells and zebrafish model. We investigated the melanogenesis-inhibiting activities of the fractions from Sargassum pallidum extract. The ethyl acetate fraction from S. pallidum extract (SPEF) significantly decreased tyrosinase activity. SPEF also significantly reduced α-melanocyte stimulating hormone (MSH)-induced intracellular tyrosinase activity and melanin content in B16F10 cells. Moreover, SPEF inhibited the expression levels of key melanogenic proteins such as tyrosinase, TRP-1, TRP-2, and MITF by downregulating the phosphorylation levels of CREB and PKA in α-MSH-stimulated melanoma cells. Furthermore, SPEF significantly suppressed melanin synthesis in the zebrafish model with no developmental toxicity. LC-Q-TOF-MS/MS analysis identified that SPEF was composed of 12 phytochemical compounds, including diterpenes, which were the dominant metabolites. These results altogether show that SPEF effectively suppresses melanogenesis in B16F10 melanoma cells and in a zebrafish model, with potential for usage in pharmaceuticals and cosmeceuticals.
He H., Lee J., Zong Z., Liu N., Noh Y., Lynch V.M., Oh J., Kim J., Sessler J.L., Ke X.
Nature Communications scimago Q1 wos Q1 Open Access
2025-02-11 citations by CoLab: 0 PDF Abstract  
Nanographenes, finite models of graphene sheets, are endowed with intriguing optical, electronic, and spintronic features. So-called heteroatom-doping, where one or more carbon is replaced by non-carbon light atoms has been proved effective in tuning the properties of nanographenes. Here we extend the concept of heteroatom nanographene doping to include metal centers. The method employed involves the use of a dipyrromethene fragment as an auxiliary ligand that is directly linked to the bay area of the model nanographene hexa-peri-hexabenzocoronene (HBC) to give a dipyrromethene-fused nanographene-type hybrid ligand (HBCP). HBCP has a corrole-like trianionic core that is capable of coordinating group 11 metal cations, including trivalent Cu, Ag and Au. These cations are introduced into the cavity with atomic precision to give metal complexes (HBCP-M; M = Cu, Ag, Au). The electronic structure and photophysical properties of HBCP and its metal complexes are investigated by steady-state and fs-transient spectroscopies, as well as DFT calculations. The ligand and metal complexes are also characterized via single crystal X-ray diffraction analyses. This work paves the way towards the precise metal doping of nanographenes within the carbon network, as opposed to the synthetic appendage of an independent chelating group, such as a fused tetrapyrrolic moiety. Nanographenes, finite models of graphene sheets, are endowed with intriguing optical, electronic, and spintronic features which can be tuned by replacing carbon via heteroatom-doping. Here the authors extend the concept of heteroatom nanographene doping to include metal centers.

Since 1983

Total publications
7879
Total citations
130109
Citations per publication
16.51
Average publications per year
183.23
Average authors per publication
6.97
h-index
118
Metrics description

Top-30

Fields of science

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General Medicine, 1286, 16.32%
Electrical and Electronic Engineering, 514, 6.52%
Biochemistry, 421, 5.34%
Gastroenterology, 412, 5.23%
General Materials Science, 385, 4.89%
Radiology, Nuclear Medicine and imaging, 361, 4.58%
Molecular Biology, 316, 4.01%
Neurology (clinical), 312, 3.96%
Condensed Matter Physics, 294, 3.73%
Surgery, 294, 3.73%
Oncology, 264, 3.35%
Computer Science Applications, 255, 3.24%
General Chemistry, 254, 3.22%
General Engineering, 212, 2.69%
Cancer Research, 209, 2.65%
Public Health, Environmental and Occupational Health, 207, 2.63%
Instrumentation, 206, 2.61%
Genetics, 198, 2.51%
Organic Chemistry, 195, 2.47%
Computer Networks and Communications, 190, 2.41%
Electronic, Optical and Magnetic Materials, 189, 2.4%
Cardiology and Cardiovascular Medicine, 182, 2.31%
Multidisciplinary, 175, 2.22%
Immunology, 175, 2.22%
Analytical Chemistry, 160, 2.03%
Atomic and Molecular Physics, and Optics, 154, 1.95%
Otorhinolaryngology, 152, 1.93%
Cell Biology, 149, 1.89%
Health, Toxicology and Mutagenesis, 146, 1.85%
Endocrinology, Diabetes and Metabolism, 143, 1.81%
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With other countries

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USA, 684, 8.68%
China, 232, 2.94%
India, 146, 1.85%
Japan, 106, 1.35%
Canada, 92, 1.17%
United Kingdom, 68, 0.86%
Italy, 56, 0.71%
Australia, 51, 0.65%
Vietnam, 49, 0.62%
Russia, 43, 0.55%
Saudi Arabia, 41, 0.52%
Pakistan, 40, 0.51%
Lebanon, 31, 0.39%
Malaysia, 30, 0.38%
Germany, 29, 0.37%
Singapore, 23, 0.29%
Spain, 22, 0.28%
Mexico, 22, 0.28%
Thailand, 18, 0.23%
UAE, 17, 0.22%
Netherlands, 16, 0.2%
Norway, 16, 0.2%
France, 14, 0.18%
Bangladesh, 13, 0.16%
Denmark, 12, 0.15%
Egypt, 11, 0.14%
Indonesia, 10, 0.13%
Philippines, 10, 0.13%
Brazil, 9, 0.11%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1983 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.