Anatoly Sorokin

4.8k total citations · 1 hit paper
93 papers, 1.9k citations indexed

About

Anatoly Sorokin is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Anatoly Sorokin has authored 93 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 23 papers in Ecology and 20 papers in Genetics. Recurrent topics in Anatoly Sorokin's work include Metabolomics and Mass Spectrometry Studies (20 papers), Bacterial Genetics and Biotechnology (19 papers) and Mass Spectrometry Techniques and Applications (18 papers). Anatoly Sorokin is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (20 papers), Bacterial Genetics and Biotechnology (19 papers) and Mass Spectrometry Techniques and Applications (18 papers). Anatoly Sorokin collaborates with scholars based in Russia, United Kingdom and Japan. Anatoly Sorokin's co-authors include Jaime Prilusky, V. M. Sobolev, Marvin Edelman, Enrique E. Abola, Igor Goryanin, Alexander Mazein, Oleg Demin, Hongwu Ma, E Selkov and Stuart Moodie and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Anatoly Sorokin

87 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automated analysis of interatomic contacts in proteins.

1999 693 citations Anatoly Sorokin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anatoly Sorokin Russia	17	1.5k	207	194	162	156	93	1.9k
David T. Barkan United States	12	1.4k 0.9×	146 0.7×	175 0.9×	158 1.0×	105 0.7×	16	1.9k
Graham R. Smith United Kingdom	28	2.2k 1.4×	317 1.5×	216 1.1×	198 1.2×	148 0.9×	63	2.9k
David Sehnal Czechia	14	1.2k 0.8×	278 1.3×	166 0.9×	120 0.7×	116 0.7×	37	1.7k
Jong Cheol Jeong United States	9	2.4k 1.5×	257 1.2×	372 1.9×	166 1.0×	155 1.0×	19	3.3k
Xin‐Qiu Yao United States	18	1.2k 0.8×	225 1.1×	230 1.2×	88 0.5×	140 0.9×	47	1.6k
Shandar Ahmad Japan	29	2.3k 1.5×	392 1.9×	402 2.1×	121 0.7×	165 1.1×	96	2.9k
Jennifer L. Miller United States	21	1.5k 1.0×	207 1.0×	207 1.1×	152 0.9×	116 0.7×	33	2.1k
Changwen Jin China	26	1.7k 1.1×	261 1.3×	143 0.7×	129 0.8×	231 1.5×	123	2.5k
Ana P. C. Rodrigues United States	6	1.6k 1.0×	248 1.2×	223 1.1×	73 0.5×	151 1.0×	6	2.3k
Keehyoung Joo South Korea	19	1.6k 1.1×	480 2.3×	243 1.3×	119 0.7×	179 1.1×	49	2.2k

Countries citing papers authored by Anatoly Sorokin

Since Specialization

Citations

This map shows the geographic impact of Anatoly Sorokin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anatoly Sorokin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anatoly Sorokin more than expected).

Fields of papers citing papers by Anatoly Sorokin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anatoly Sorokin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anatoly Sorokin. The network helps show where Anatoly Sorokin may publish in the future.

Co-authorship network of co-authors of Anatoly Sorokin

This figure shows the co-authorship network connecting the top 25 collaborators of Anatoly Sorokin. A scholar is included among the top collaborators of Anatoly Sorokin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anatoly Sorokin. Anatoly Sorokin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sorokin, Anatoly, et al.. (2024). Modern machine‐learning applications in ambient ionization mass spectrometry. Mass Spectrometry Reviews. 44(1). 74–88. 7 indexed citations

Mclean, C., et al.. (2023). Computational Pipeline for Analysis of Biomedical Networks with BioNAR. Current Protocols. 3(12). e940–e940.

Соколов, С. Л., Ф. А. Бровко, Alexander S. Solonin, et al.. (2023). Genomic analysis and assessment of pathogenic (toxicogenic) potential of Staphylococcus haemolyticus and Bacillus paranthracis consortia isolated from bovine mastitis in Russia. Scientific Reports. 13(1). 18646–18646. 3 indexed citations

Sorokin, Anatoly, et al.. (2023). Shapley Value as a Quality Control for Mass Spectra of Human Glioblastoma Tissues. Data. 8(1). 21–21. 1 indexed citations

Sorokin, Anatoly, et al.. (2022). Aggregation of Multimodal ICE-MS Data into Joint Classifier Increases Quality of Brain Cancer Tissue Classification. Data. 8(1). 8–8. 1 indexed citations

Touré, Vasundra, Dagmar Waltemath, Anatoly Sorokin, et al.. (2021). SBGN Bricks Ontology as a tool to describe recurring concepts in molecular networks. Briefings in Bioinformatics. 22(5). 7 indexed citations

Соколов, С. Л., et al.. (2021). Comparative Analysis of Milk Microbiomes and Their Association with Bovine Mastitis in Two Farms in Central Russia. Animals. 11(5). 1401–1401. 16 indexed citations

Sorokin, Anatoly, et al.. (2021). Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry. Data. 6(12). 132–132. 4 indexed citations

Sorokin, Anatoly, et al.. (2020). Evolutionary Dynamics of Microbial Communities in Bioelectrochemical Systems. Journal of Computer Science & Systems Biology. 13(4). 1–9. 1 indexed citations

10.

Vasieva, Olga, et al.. (2019). Do Microbial Fuel Cells have Antipathogenic Properties. Journal of Computer Science & Systems Biology. 12(3). 57–70. 10 indexed citations

11.

Vasieva, Olga, et al.. (2019). A Study on the Analysis of Personal Gut Microbiomes. Journal of Computer Science & Systems Biology. 12(3). 71–79. 1 indexed citations

12.

Sorokin, Anatoly, et al.. (2018). Дестабилизация дуплекса ДНК активно реплицирующихся промоторов бактериофагов группы Т7. Молекулярная биология. 52(5). 793–800. 1 indexed citations

13.

Sorokin, Anatoly, et al.. (2018). Bacterial promoter prediction: Selection of dynamic and static physical properties of DNA for reliable sequence classification. Journal of Bioinformatics and Computational Biology. 16(1). 1840003–1840003. 8 indexed citations

14.

Sorokin, Anatoly, et al.. (2017). Multi-label classification of brain tumor mass spectrometry data In pursuit of tumor boundary detection method. 169–171. 5 indexed citations

15.

Sorokin, Anatoly, et al.. (2017). Post-hypoxic reaction of astrocytes of the visual cortex in the experiment. Kazan medical journal. 98(6). 984–988. 3 indexed citations

16.

Mi, Huaiyu, Falk Schreiber, Stuart Moodie, et al.. (2015). Systems Biology Graphical Notation: Activity Flow language Level 1 Version 1.2. PubMed. 12(2). 265–265. 19 indexed citations

17.

Mi, Huaiyu, Falk Schreiber, Stuart Moodie, et al.. (2015). Systems Biology Graphical Notation: Activity Flow language Level 1 Version 1.2. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 12(2). 340–381. 25 indexed citations

18.

Sorokin, Anatoly, et al.. (2013). Electrostatic map of T7 DNA: comparative analysis of functional and electrostatic properties of T7 RNA polymerase-specific promoters. Journal of Biomolecular Structure and Dynamics. 32(8). 1184–1192. 6 indexed citations

19.

Sorokin, Anatoly, et al.. (2011). Towards a quantitative model of the post-synaptic proteome. Molecular BioSystems. 7(10). 2813–2823. 13 indexed citations

20.

Faratian, Dana, Alexey Goltsov, Anatoly Sorokin, et al.. (2009). Systems Biology Reveals New Strategies for Personalizing Cancer Medicine and Confirms the Role of PTEN in Resistance to Trastuzumab. Cancer Research. 69(16). 6713–6720. 126 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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