Mikhail Ignatov

569 total citations
12 papers, 192 citations indexed

About

Mikhail Ignatov is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Mikhail Ignatov has authored 12 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Mikhail Ignatov's work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (6 papers) and RNA and protein synthesis mechanisms (3 papers). Mikhail Ignatov is often cited by papers focused on Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (6 papers) and RNA and protein synthesis mechanisms (3 papers). Mikhail Ignatov collaborates with scholars based in United States, Russia and Canada. Mikhail Ignatov's co-authors include Dima Kozakov, Andrey Alekseenko, Sergei Kotelnikov, George Jones, Sándor Vajda, Andrey Kazennov, Dmitri Beglov, Yaroslav Kholodov, Dzmitry Padhorny and Frank Sicheri and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Mikhail Ignatov

12 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Ignatov United States 9 162 38 36 32 23 12 192
Shourya S. Roy Burman United States 10 264 1.6× 29 0.8× 44 1.2× 48 1.5× 28 1.2× 14 314
Sergei Kotelnikov United States 11 222 1.4× 45 1.2× 41 1.1× 37 1.2× 37 1.6× 18 274
Brian M. Linhares United States 9 251 1.5× 19 0.5× 21 0.6× 30 0.9× 36 1.6× 14 290
Tarun Narwani France 10 167 1.0× 17 0.4× 62 1.7× 11 0.3× 24 1.0× 14 229
Abimael Cruz-Migoni United Kingdom 6 243 1.5× 29 0.8× 35 1.0× 58 1.8× 41 1.8× 11 307
Ashley E. Modell United States 7 260 1.6× 38 1.0× 19 0.5× 45 1.4× 30 1.3× 9 332
Holly H. Soutter United States 6 165 1.0× 35 0.9× 17 0.5× 16 0.5× 48 2.1× 6 252
Zisheng Fan China 9 172 1.1× 37 1.0× 22 0.6× 67 2.1× 7 0.3× 12 228
Philippe Roby United States 8 244 1.5× 28 0.7× 14 0.4× 55 1.7× 32 1.4× 14 339
Efrat Resnick Israel 6 142 0.9× 46 1.2× 20 0.6× 25 0.8× 20 0.9× 8 211

Countries citing papers authored by Mikhail Ignatov

Since Specialization
Citations

This map shows the geographic impact of Mikhail Ignatov'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 Mikhail Ignatov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Ignatov more than expected).

Fields of papers citing papers by Mikhail Ignatov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Ignatov. 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 Mikhail Ignatov. The network helps show where Mikhail Ignatov may publish in the future.

Co-authorship network of co-authors of Mikhail Ignatov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Ignatov. A scholar is included among the top collaborators of Mikhail Ignatov 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 Mikhail Ignatov. Mikhail Ignatov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Ignatov, Mikhail, et al.. (2023). Improved prediction of MHC-peptide binding using protein language models. SHILAP Revista de lepidopterología. 3. 1207380–1207380. 9 indexed citations
2.
Kotelnikov, Sergei, Konstantin I. Popov, Mikhail Ignatov, et al.. (2023). Accurate ligand–protein docking in CASP15 using the ClusPro LigTBM server. Proteins Structure Function and Bioinformatics. 91(12). 1822–1828. 3 indexed citations
3.
Ignatov, Mikhail, Sergei Kotelnikov, Dmitri Beglov, et al.. (2023). High Accuracy Prediction of PROTAC Complex Structures. Journal of the American Chemical Society. 145(13). 7123–7135. 29 indexed citations
4.
Kounde, Cyrille S., Milon Mondal, Jake L. Greenfield, et al.. (2022). Light-mediated multi-target protein degradation using arylazopyrazole photoswitchable PROTACs (AP-PROTACs). Chemical Communications. 58(78). 10933–10936. 35 indexed citations
5.
Alekseenko, Andrey, et al.. (2020). Protein–Protein and Protein–Peptide Docking with ClusPro Server. Methods in molecular biology. 2165. 157–174. 43 indexed citations
6.
Padhorny, Dzmitry, Kathryn A. Porter, Mikhail Ignatov, et al.. (2020). ClusPro in rounds 38 to 45 of CAPRI: Toward combining template‐based methods with free docking. Proteins Structure Function and Bioinformatics. 88(8). 1082–1090. 8 indexed citations
7.
Alekseenko, Andrey, et al.. (2020). Ensemble building and statistical mechanics methods for MHC-peptide binding prediction. Computer Research and Modeling. 12(6). 1383–1395. 1 indexed citations
8.
Alekseenko, Andrey, Sergei Kotelnikov, Mikhail Ignatov, et al.. (2019). ClusPro LigTBM: Automated Template-based Small Molecule Docking. Journal of Molecular Biology. 432(11). 3404–3410. 17 indexed citations
9.
Kotelnikov, Sergei, Andrey Alekseenko, Mikhail Ignatov, et al.. (2019). Sampling and refinement protocols for template-based macrocycle docking: 2018 D3R Grand Challenge 4. Journal of Computer-Aided Molecular Design. 34(2). 179–189. 7 indexed citations
10.
Porter, Kathryn A., Dzmitry Padhorny, Israel Desta, et al.. (2019). Template‐based modeling by ClusPro in CASP13 and the potential for using co‐evolutionary information in docking. Proteins Structure Function and Bioinformatics. 87(12). 1241–1248. 15 indexed citations
11.
Ignatov, Mikhail, Andrey Kazennov, & Dima Kozakov. (2018). ClusPro FMFT-SAXS: Ultra-fast Filtering Using Small-Angle X-ray Scattering Data in Protein Docking. Journal of Molecular Biology. 430(15). 2249–2255. 15 indexed citations
12.
Ignatov, Mikhail, Andrey Alekseenko, Dzmitry Padhorny, et al.. (2018). Monte Carlo on the manifold and MD refinement for binding pose prediction of protein–ligand complexes: 2017 D3R Grand Challenge. Journal of Computer-Aided Molecular Design. 33(1). 119–127. 10 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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