Поверхность Рентгеновские синхротронные и нейтронные исследования
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journal names
Поверхность Рентгеновские синхротронные и нейтронные исследования
Top-3 citing journals

Journal of Surface Investigation
(62 citations)

Crystallography Reports
(16 citations)
Top-3 organizations

Lomonosov Moscow State University
(35 publications)

National Research Centre "Kurchatov Institute"
(32 publications)

Joint Institute for Nuclear Research
(22 publications)

National Research University Higher School of Economics
(2 publications)
Most cited in 5 years
Found
Publications found: 194
Q1

Manipulating brassinosteroid signaling pathway to genetically improve horticultural plants
Li X., Li J., Zabed H.M., Li J., Xiong M., Shi H., Li J.
Abstract
Brassinosteroids (BRs), a class of plant-specific steroidal hormones, play crucial roles in regulating various plant physiological functions, such as growth, development, and adaptability to the environment. Despite this broader role of BRs, previously published reviews mainly focused on the molecular mechanisms of BR-mediated regulation of vegetative and reproductive growth of model plants like Arabidopsis and some food crops, such as rice, maize, and wheat. While horticultural plants hold significant economic importance in modern agriculture, less attention has been paid to understanding the role of BRs in regulating the physiological functions of these plants. Given the lack of relevant reviews, this article aims to discuss the major roles of BRs in horticultural plants, particularly fruit and leaf development, whole plant architecture, and adaptive stress response. We also highlight key challenges and provide some future research directions for genetically improving horticultural plants by altering the BR signaling pathway.
Q1

PhytoCluster: a generative deep learning model for clustering plant single-cell RNA-seq data
Wang H., Fu X., Liu L., Wang Y., Hong J., Pan B., Cao Y., Chen Y., Cao Y., Ma X., Fang W., Yan S.
Abstract
Single-cell RNA sequencing (scRNA-seq) technology enables a deep understanding of cellular differentiation during plant development and reveals heterogeneity among the cells of a given tissue. However, the computational characterization of such cellular heterogeneity is complicated by the high dimensionality, sparsity, and biological noise inherent to the raw data. Here, we introduce PhytoCluster, an unsupervised deep learning algorithm, to cluster scRNA-seq data by extracting latent features. We benchmarked PhytoCluster against four simulated datasets and five real scRNA-seq datasets with varying protocols and data quality levels. A comprehensive evaluation indicated that PhytoCluster outperforms other methods in clustering accuracy, noise removal, and signal retention. Additionally, we evaluated the performance of the latent features extracted by PhytoCluster across four machine learning models. The computational results highlight the ability of PhytoCluster to extract meaningful information from plant scRNA-seq data, with machine learning models achieving accuracy comparable to that of raw features. We believe that PhytoCluster will be a valuable tool for disentangling complex cellular heterogeneity based on scRNA-seq data.
Q1

Bacillus atrophaeus DX-9 biocontrol against potato common scab involves significant changes in the soil microbiome and metabolome
Cao J., Ma Y., Fu J., Wang Z., Zhao Y., Zhong N., Zhao P.
Abstract
Potato common scab (CS) is a worldwide disease, caused by Streptomyces spp., and its presence reduces the market value of potatoes. A nontoxic and potentially effective approach in many control strategies is the use of antagonistic microbes as biocontrol agents. In this study, Bacillus atrophaeus DX9 was isolated and assessed for its ability to protect against CS. Through integrated metagenomic and metabolomic analyses, changes in the soil microbial community structure and soil properties were analyzed to understand the effects of Bacillus atrophaeus DX9 on CS. These studies revealed that DX9 inoculation could significantly decrease CS disease rate, disease index, and the number of CS pathogens, along with an increase in soil N and P content. Our metagenomic assays identified 102 phyla and 1154 genera, and DX9 inoculation increased the relative abundances of the phyla Pseudomonadota, Chloroflexota and Gemmatimonadota. Additionally, an increase in the relative abundance of genera, such as Bradyrhizobium, Agrobacterium, and Nitrobacter, were significantly and positively correlated with soil N and P. Metabolomic analysis revealed that DX9 inoculation significantly increased the soil levels of phytolaccoside A, 7,8dihydropteroic acid, novobiocin, and azafrin. These compounds were enriched in microbe pathway metabolites, including xenobiotic biodegradation and metabolism, biosynthesis of other secondary metabolites, and metabolism of cofactors and vitamins. In summary, the use of Bacillus atrophaeus DX9 against potato CS offers an alternative biocontrol method that can improve both soil microbial community and properties. This study provides insight into the potential mechanisms by which microbial inoculants can control CS disease.
Q1

BMI1s interact with condensin complexes to regulate chromatin 3D structure and gene expression in Arabidopsis
Luo L., Yang M., Zhou Y.
Abstract
The accurate chromatin states are essential for maintaining genome integrity and ensuring the normal transcription of genes. Polycomb group (PcG) proteins regulate chromatin states not only by modifying the chromatin, but also by influencing the chromatin three-dimensional (3D) structure. The core components of Polycomb repressive complex 1 (PRC1), B LYMPHOMA MOLONEY MURINE LEUKEMIA VIRUS INSERTION REGION 1 HOMOLOG 1A/B/C (BMI1s), have been reported to maintain the compartment domains (CDs) generally, but the mechanism by which they function remains elusive. Here, we reveal that condensin complexes, whose function are related to chromatin or chromosome, can interact with BMI1s. Removal of condensin I or II also leads to global impairment of CDs. The significantly impaired CDs in bmi1a/b/c and condensin mutants are basically the same and the CDs co-regulated by BMI1s and condensin complexes have higher strength in the wild-type (WT, Col-0) plant, indicating that BMI1s and condensin complexes cooperate to maintain CDs. This regulatory function is parallel to the function of histone modifications deposited by PcG in maintaining CDs, since removal of either condensin I or II does not obviously disrupt the genome-wide level of H3K27me3 and H2AK121ub. Moreover, we discovered that BMI1s and condensin complexes jointly influence the expression of a portion of genes to enable normal plant growth and may maintain the genome integrity under stress conditions. Thus, our work proides a perspective for the gene expression and epigenetic regulatory mechanism of PRC1, in Arabidopsis, in addition to histone modifications.
Q1

Convenient, high-efficiency multiplex genome editing in autotetraploid alfalfa using endogenous U6 promoters and visual reporters
Xia X., Li S., Wang N., Cheng P., Zhu B., Zhang P., Yang D., Lin H., Niu L.
Abstract
CRISPR/Cas is a simple, robust, versatile tool for plant biology studies and precision plant breeding. However, establishing a high-efficiency gene editing system for multiplex editing of the autotetraploid crop alfalfa (Medicago sativa L.), the most important forage legume worldwide, remains a formidable challenge. Here, we systematically identified endogenous U6 promoters in alfalfa through transient expression via Agrobacterium-mediated infiltration of alfalfa leaves. We further demonstrated the efficacy of the three most active promoters for genome editing using an optimized alfalfa hairy root system. Subsequently, we established an improved CRISPR/Cas9 multiplex system containing three or four tandemly arrayed MsU6-promoter-driven polycistronic tRNA-sgRNA (PTG) expression cassettes, each consisting of three tRNA-sgRNA units, to simultaneously edit three or four alfalfa genes, coupled with the visual reporter RH1 or RUBY. This toolkit showed efficient multiplex editing in the hairy root system with visual selection. We successfully obtained regenerated, red-colored shoots resulting from the stable transformation of alfalfa. These results highlight the potential application of the visual reporter system for the stable transformation of alfalfa. Our improved CRISPR/Cas9 multiplex system enables convenient, high-efficiency multiplex genome editing in alfalfa, providing a versatile toolset to facilitate functional studies of multiple genes and gene families for basic research and the genetic improvement of alfalfa.
Q1

Atypical RXLR effectors are involved in Phytophthora cactorum pathogenesis
Zheng Z., Liu J., You W., Sun J., Wang K., Zhang X., Yan X., Liu Z.
Abstract
RXLR effectors are pathogenic factors secreted from oomycetes to manipulate the immunity of the host. Typical RXLR effectors contain an RXLR-dEER motif at the N-terminus, whereas atypical RXLRs show variations on this motif. The oomycete Phytophthora cactorum is known to infect over 200 plant species, resulting in significant agricultural economic losses. Although genome-wide identification and functional analyses of typical RXLRs from P. cactorum have been performed, little is known of atypical PcaRXLRs. Here, we identified RXLRs, both typical and atypical, in P. cactorum and compared them with those of other oomycete pathogens. Fewer RXLRs were identified in P. cactorum compared with other Phytophthora species, possibly due to fewer duplication events of RXLRs. In contrast, the percentage of atypical RXLRs was higher in P. cactorum than in other species, suggesting significant roles in P. cactorum pathogenesis. Analysis of RXLR gene expression showed that most were transcribed, suggesting their functionality. Transient expression of two atypical RXLRs in Nicotiana benthamiana showed that they induced necrosis dependent on host SGT1 and HSP90. Furthermore, two additional atypical RXLRs suppressed the defense response in N. benthamiana and promoted P. cactorum infection. These results demonstrate the vital role of atypical RXLRs in P. cactorum and provide valuable information on their evolutionary patterns and interactions with host plants.
Q1

Emerging strategies to improve heat stress tolerance in crops
Xiong J., Wang H., Zhong Z., Li S., Qin P.
Abstract
The heat stress (HS) response in plants involves complex processes at the molecular, cellular, and whole-organism levels. Sensitivity to HS differs based on the species and developmental stage of the plant, making it challenging to define HS and its impacts. Efforts to enhance HS tolerance by traditional breeding are constrained by limited genetic resources, but understanding the mechanisms that regulate HS responses can enable efforts to improve heat tolerance by precision breeding and gene editing. Here, we review recent research on the effects of HS on major cereal crops at different developmental stages and identify key genes potentially involved in the HS response, offering insight for precision molecular breeding. Additionally, we discuss the use of favorable natural variants and gene editing to improve crop tolerance to HS, emphasizing the value of alleles involved in thermomemory, combined stress tolerance, and the stress response–growth balance. This review aims to summarize recent advancements in understanding HS responses in crops, highlighting potential avenues for generating heat-tolerant crops.
Q1

Plant metabolomics: applications and challenges in the era of multi-omics big data
Hao Y., Zhang Z., Luo E., Yang J., Wang S.
Abstract
Plant metabolites are crucial for the growth, development, environmental adaptation, and nutritional quality of plants. Plant metabolomics, a key branch of systems biology, involves the comprehensive analysis and interpretation of the composition, variation, and functions of these metabolites. Advances in technology have transformed plant metabolomics into a sophisticated process involving sample collection, metabolite extraction, high-throughput analysis, data processing, and multidimensional statistical analysis. In today’s era of big data, the field is witnessing an explosion in data acquisition, offering insight into the complexity and dynamics of plant metabolism. Moreover, multiple omics strategies can be integrated to reveal interactions and regulatory networks across different molecular levels, deepening our understanding of plant biological processes. In this review, we highlight recent advances and challenges in plant metabolomics, emphasizing the roles for this technique in improving crop varieties, enhancing nutritional value, and increasing stress resistance. We also explore the scientific foundations of plant metabolomics and its applications in medicine, and ecological conservation.
Q1

A 6.49-Mb inversion associated with the purple embryo spot trait in potato
Wang P., Cheng L., Pan J., Ma L., Hu X., Zhang Z., Li D., Zhu Y., Chang S., Yuan P., Kear P., Lassois L., Zhu G., Huang S., Du H., et. al.
Abstract
The embryo spot trait leads to a deep purple or reddish coloration at the base of the cotyledons of the embryo, visible on both sides of flat potato (Solanum tuberosum) seeds. This trait has long been used by potato researchers and breeders as a morphological marker during dihaploid induction. The formation of embryo spots reflects the accumulation of anthocyanins, but the genetic basis of this trait remains unclear. In this study, we mapped the embryo spot trait to a 6.78-Mb region at the end of chromosome 10 using an F2 population derived from a cross between spotted and spotless plants. The recombination rate in the candidate region is severely suppressed, posing challenges for the map-based cloning of the underlying gene and suggesting large-scale rearrangements in this region. A de novo genome assembly of the spotted individual and a comparative genomic analysis to the reference genome of spotless potato revealed a 6.49-Mb inversion present in the spotted plant genome. The left breakpoint of this inversion occurred in the promoter region of an R2R3 MYB transcription factor gene that is highly expressed in the cotyledon base of spotted embryos but is not expressed in that of spotless embryos. This study elucidated the genetic basis for embryo spot formation in potato and provides a foundation for future cloning of the causative gene.
Q1

Enacting partner specificity in legume–rhizobia symbioses
Yu X., Zhu H.
AbstractLegumes, such as peas, beans, and alfalfa, have evolved a remarkable ability to establish root nodule symbioses with nitrogen-fixing soil bacteria to fulfill their nitrogen needs. This partnership is characterized by a high degree of specificity, occurring both within and between host and bacterial species. Consequently, nodulation capacity and nitrogen-fixing efficiency vary significantly among different plant–bacteria pairs. The genetic and molecular mechanisms regulating symbiotic specificity are diverse, involving a wide array of host and bacterial genes and signals with various modes of action. Understanding the genetic basis of symbiotic specificity could enable the development of strategies to enhance nodulation capacity and nitrogen fixation efficiency. This knowledge will also help overcome the host range barrier, which is a critical step toward extending root nodule symbiosis to non-leguminous plants. In this review, we provide an update on our current understanding of the genetics and evolution of recognition specificity in root nodule symbioses, providing more comprehensive insights into the molecular signaling in plant–bacterial interactions.
Q1

LEAFY1 and 2 are required for floral organ development in soybean
Wang L., Liu H., Chen L., Su T., Li S., Fang C., Lu S., Liu B., Yang H., Kong F.
Abstract
The transition from vegetative to reproductive growth is a vital step for the reproductive success of plants. In Arabidopsis thaliana, LEAFY (LFY) plays crucial roles in inflorescence primordium and floral organ development, but little is known about the roles of its homologs in crop plants such as soybean (Glycine max). Here, we investigated the expression patterns and functions of the two LFY genes (LFY1 and LFY2) in soybean. Both genes were predominantly expressed in unopened flowers and the shoot apical meristem, with LFY2 having the higher transcript abundance. In an in situ hybridization assay, LFY genes produced strong signals in the floral meristem. We next generated lfy1 and lfy2 knockout lines. The lfy2 mutants showed obvious changes in floral organ morphology, but the lfy1 mutants showed no obvious changes in floral organ morphology or pod development. The lfy1 lfy2 double mutants displayed more serious defects in floral organ development than lfy2, resulting in complete sterility. Gene expression analysis revealed differences in expression of the A-class APETALA (AP) genes AP1a and AP1b in the double mutant lines. These results suggest that LFY2 plays an important role in floral organ formation in soybean by regulating the expression of homeotic genes. Our findings increase the understanding of floral development, which could be useful for flower designs during hybrid soybean breeding.
Q1

Correction: Inference and prioritization of tissue-specific regulons in Arabidopsis and Oryza
Dai H., Fan Y., Mei Y., Chen L., Gao J.
Q1
aBIOTECH
,
2024
,
citations by CoLab: 0

Q1

Applying conventional and cell-type-specific CRISPR/Cas9 genome editing in legume plants
Gao J., Su Y., Jiang S., Liang W., Lou Z., Frugier F., Xu P., Murray J.D.
AbstractThe advent of genome editing technologies, particularly CRISPR/Cas9, has significantly advanced the generation of legume mutants for reverse genetic studies and understanding the mechanics of the rhizobial symbiosis. The legume–rhizobia symbiosis is crucial for sustainable agriculture, enhancing nitrogen fixation and improving soil fertility. Numerous genes with a symbiosis-specific expression have been identified, sometimes exclusively expressed in cells forming infection threads or in nitrogen-fixing nodule cells. Typically, mutations in these genes do not affect plant growth. However, in some instances, germline homozygous mutations can be lethal or result in complex pleiotropic phenotypes that are challenging to interpret. To address this issue, a rhizobia-inducible and cell-type-specific CRISPR/Cas9 strategy was developed to knock-out genes in specific legume transgenic root tissues. In this review, we discuss recent advancements in legume genome editing, highlighting the cell-type-specific CRISPR system and its crucial applications in symbiotic nitrogen fixation and beyond.
Q1

MHZ3: a key regulator of ethylene signaling in rice
Khattak A.A., Huang Y., Afzal M., Wang X.
The plant hormone ethylene regulates plant growth, development, and stress responses. Recent studies on early signaling events following ethylene perception in rice (Oryza sativa) have identified MAO HU ZI 3 (MHZ3) as a stabilizer of the ethylene receptors ETHYLENE RESPONSE SENSOR 2 (OsERS2) and ETHYLENE RECEPTOR 2 (OsETR2). MHZ3 ensures the interaction of these receptors with CONSTITUTIVE TRIPLE RESPONSE 2 (OsCTR2), thereby maintaining OsCTR2 activity. Ethylene treatment disrupts the interactions within the MHZ3/receptors/OsCTR2 protein complex, leading to decreased OsCTR2 phosphorylation and the initiation of downstream signaling. Recent studies have established MHZ3 as the primary regulator and switch for OsCTR2 phosphorylation. In this review, we explore the role of MHZ3 in regulating ethylene signaling and highlight its effects on plant growth, development, and stress responses at the plant holobiont level.
Q1

Stable plastid transformation in kiwifruit (Actinidia chinensis)
Chen Q., Wu Y., Wang Y., Zhang J., Li S.
AbstractPlastid transformation offers valuable benefits in plant biotechnology, such as high-level transgene expression and the absence of gene silencing. Here we describe the first protocol of a plastid transformation system for a woody vine (liana) kiwifruit (Actinidia chinensis). The transgenic DNA carries a spectinomycin-resistance gene (aadA) cassette and a green fluorescent protein (GFP) reporter gene cassette, flanked by two adjacent kiwifruit plastid genome sequences, thereby allowing targeted insertion between the trnfM and trnG genes. Six spectinomycin-resistant shoots were obtained out of 12 plates subjected to bombardment, and two were positive events, confirmed through PCR and Southern blot analyses. The GFP was localized to plastids as monitored by confocal laser scanning microscopy and reached 2.5% of leaf total soluble protein. Success in kiwifruit extends transplastomic technology of woody species beyond poplar, and will provide an attractive biosynthetic chassis for molecular farming.
Top-100
Citing journals
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Поверхность Рентгеновские синхротронные и нейтронные исследования
180 citations, 40.72%
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Journal of Surface Investigation
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Crystallography Reports
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Citing publishers
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The Russian Academy of Sciences
215 citations, 48.64%
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Pleiades Publishing
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Lomonosov Moscow State University
35 publications, 1.89%
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National Research Centre "Kurchatov Institute"
32 publications, 1.73%
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Joint Institute for Nuclear Research
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Institute for Physics of Microstructures of the Russian Academy of Sciences
6 publications, 0.32%
|
|
Ural Federal University
6 publications, 0.32%
|
|
Kurnakov Institute of General and Inorganic Chemistry of the Russian Academy of Sciences
4 publications, 0.22%
|
|
National Research University Higher School of Economics
4 publications, 0.22%
|
|
Institute of Semiconductor Physics of the Siberian Branch of the Russian Academy of Sciences
4 publications, 0.22%
|
|
Southern Federal University
4 publications, 0.22%
|
|
A.A. Baikov Institute of Metallurgy and Materials Science of the Russian Academy of Sciences
3 publications, 0.16%
|
|
Institute of Macromolecular Compounds of NRC «Kurchatov Institute»
3 publications, 0.16%
|
|
Institute of Electrophysics of the Ural Branch of the Russian Academy of Sciences
3 publications, 0.16%
|
|
P. P. Shirshov Institute of Oceanology of the Russian Academy of Sciences
3 publications, 0.16%
|
|
Technological Institute for Superhard and Novel Carbon Materials
3 publications, 0.16%
|
|
A.N. Frumkin Institute of Physical Chemistry and Electrochemistry of the Russian Academy of Sciences
2 publications, 0.11%
|
|
A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences
2 publications, 0.11%
|
|
Institute of Cell Biophysics of the Russian Academy of Sciences
2 publications, 0.11%
|
|
Peter the Great St. Petersburg Polytechnic University
2 publications, 0.11%
|
|
Dagestan State University
2 publications, 0.11%
|
|
Belgorod State University
2 publications, 0.11%
|
|
Voronezh State University
2 publications, 0.11%
|
|
Kabardino-Balkarian State University
2 publications, 0.11%
|
|
Ryazan State University named after S. A. Esenin
2 publications, 0.11%
|
|
Kostroma State University named after N A Nekrasov
2 publications, 0.11%
|
|
Baku State University
2 publications, 0.11%
|
|
Belgian Nuclear Research Centre
2 publications, 0.11%
|
|
Helmholtz Centre for Materials and Energy
2 publications, 0.11%
|
|
NOVA University Lisbon
2 publications, 0.11%
|
|
Zoological Institute of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Federal Scientific Center of the East Asia Terrestrial Biodiversity of the Far Eastern Branch of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Siberian Institute of Plant Physiology and Biochemistry of the Siberian Branch of the Russian Academy of Sciences
1 publication, 0.05%
|
|
A.V. Topchiev Institute of Petrochemical Synthesis RAS
1 publication, 0.05%
|
|
Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences
1 publication, 0.05%
|
|
G. A. Razuvaev Institute of Organometallic Chemistry of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Institute of Problems of Hydrocarbon Processing of the Siberian Branch of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Institute of Solid State Chemistry of the Ural Branch of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Institute of High Temperature Electrochemistry of the Ural Branch of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Institute of Astronomy of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Institute for Nuclear Research of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Institute for High Pressure Physics of Russian Academy of Sciences
1 publication, 0.05%
|
|
Institute of Automation and Electrometry of the Siberian Branch of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Ishlinsky Institute for Problems in Mechanics of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Khristianovich Institute of Theoretical and Applied Mechanics of the Siberian Branch of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Institute On Laser and Information Technologies
1 publication, 0.05%
|
|
Perm State National Research University
1 publication, 0.05%
|
|
South Ural State University
1 publication, 0.05%
|
|
Shubnikov Institute of Crystallography
1 publication, 0.05%
|
|
Institute of Experimental Mineralogy of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Dubna State University
1 publication, 0.05%
|
|
Moscow Power Engineering Institute
1 publication, 0.05%
|
|
Saratov State University
1 publication, 0.05%
|
|
Omsk State Technical University
1 publication, 0.05%
|
|
Vladimir State University
1 publication, 0.05%
|
|
Voronezh State Technical University
1 publication, 0.05%
|
|
Moscow Polytechnic University
1 publication, 0.05%
|
|
Herzen State Pedagogical University of Russia
1 publication, 0.05%
|
|
Nosov Magnitogorsk State Technical University
1 publication, 0.05%
|
|
Kazan State Power Engineering University
1 publication, 0.05%
|
|
Platov South-Russian State Polytechnic University (NPI)
1 publication, 0.05%
|
|
Penza State University
1 publication, 0.05%
|
|
Moscow State Technological University Stankin
1 publication, 0.05%
|
|
Petrozavodsk State University
1 publication, 0.05%
|
|
Siberian State Industrial University
1 publication, 0.05%
|
|
Ryazan State Radio Engineering University
1 publication, 0.05%
|
|
Polzunov Altai State Technical University
1 publication, 0.05%
|
|
Udmurt State University
1 publication, 0.05%
|
|
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
1 publication, 0.05%
|
|
Belarusian State Technological University
1 publication, 0.05%
|
|
Lukin Scientific Research Institute of Physical Problems of NRC «Kurchatov Institute»
1 publication, 0.05%
|
|
I. M. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences
1 publication, 0.05%
|
|
Tomsk State Pedagogical University
1 publication, 0.05%
|
|
Galkin Donetsk Institute for Physics and Engineering
1 publication, 0.05%
|
|
Amur State University
1 publication, 0.05%
|
|
State Scientific Centre "Keldysh Research Center"
1 publication, 0.05%
|
|
All-Russian Research Institute of Agricultural Microbiology
1 publication, 0.05%
|
|
N.N. Burdenko Voronezh State Medical University
1 publication, 0.05%
|
|
North Maharashtra University
1 publication, 0.05%
|
|
Technion – Israel Institute of Technology
1 publication, 0.05%
|
|
Basque Foundation for Science
1 publication, 0.05%
|
|
Chalmers University of Technology
1 publication, 0.05%
|
|
Wuhan University
1 publication, 0.05%
|
|
Delft University of Technology
1 publication, 0.05%
|
|
University of the Basque Country
1 publication, 0.05%
|
|
Institute of Solid State Physics, Chinese Academy of Sciences
1 publication, 0.05%
|
|
Show all (61 more) | |
5
10
15
20
25
30
35
|
Publishing organizations in 5 years
1
2
|
|
National Research University Higher School of Economics
2 publications, 0.45%
|
|
1
2
|
Publishing countries
50
100
150
200
250
300
|
|
Russia
|
Russia, 251, 13.54%
Russia
251 publications, 13.54%
|
Ukraine
|
Ukraine, 9, 0.49%
Ukraine
9 publications, 0.49%
|
Belarus
|
Belarus, 4, 0.22%
Belarus
4 publications, 0.22%
|
Azerbaijan
|
Azerbaijan, 4, 0.22%
Azerbaijan
4 publications, 0.22%
|
Uzbekistan
|
Uzbekistan, 4, 0.22%
Uzbekistan
4 publications, 0.22%
|
Germany
|
Germany, 3, 0.16%
Germany
3 publications, 0.16%
|
Armenia
|
Armenia, 3, 0.16%
Armenia
3 publications, 0.16%
|
USA
|
USA, 2, 0.11%
USA
2 publications, 0.11%
|
China
|
China, 2, 0.11%
China
2 publications, 0.11%
|
Portugal
|
Portugal, 2, 0.11%
Portugal
2 publications, 0.11%
|
Belgium
|
Belgium, 2, 0.11%
Belgium
2 publications, 0.11%
|
France
|
France, 1, 0.05%
France
1 publication, 0.05%
|
Kazakhstan
|
Kazakhstan, 1, 0.05%
Kazakhstan
1 publication, 0.05%
|
Bulgaria
|
Bulgaria, 1, 0.05%
Bulgaria
1 publication, 0.05%
|
Israel
|
Israel, 1, 0.05%
Israel
1 publication, 0.05%
|
India
|
India, 1, 0.05%
India
1 publication, 0.05%
|
Spain
|
Spain, 1, 0.05%
Spain
1 publication, 0.05%
|
Netherlands
|
Netherlands, 1, 0.05%
Netherlands
1 publication, 0.05%
|
Poland
|
Poland, 1, 0.05%
Poland
1 publication, 0.05%
|
Finland
|
Finland, 1, 0.05%
Finland
1 publication, 0.05%
|
Sweden
|
Sweden, 1, 0.05%
Sweden
1 publication, 0.05%
|
50
100
150
200
250
300
|
Publishing countries in 5 years
1
2
|
|
Russia
|
Russia, 2, 0.45%
Russia
2 publications, 0.45%
|
1
2
|