Igor B. Kuznetsov
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Prion Diseases and Protein Misfolding
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- Neuroblastoma Research and Treatments
Papers in
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- Protein Structure and Dynamics 9
- Prion Diseases and Protein Misfolding 6
- RNA and protein synthesis mechanisms 6
- Machine Learning in Bioinformatics 3
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- Enzyme Structure and Function 5
- Co-authors
- Seungwoo Hwang (3 shared papers)S. Rackovsky (7 shared papers)Run Li (1 shared paper)Roxana Moslehi (1 shared paper)Sivasish Sindiri (3 shared papers)Jun S. Wei (3 shared papers)Paul M. Sondel (2 shared papers)Young Song (3 shared papers)
- Journals
- Bioinformatics (4 papers)Proteins Structure Function and Bioinformatics (4 papers)Clinical Cancer Research (2 papers)Protein Science (2 papers)Protein Engineering Design and Selection (1 paper)
- Partner nations
- United StatesRussiaAustralia
In The Last Decade
Igor B. Kuznetsov
23 papers receiving 677 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 491
- Neurology 61
- Computational Theory and Mathematics 55
- Pharmacology 19
- Immunology 43
Countries citing papers authored by Igor B. Kuznetsov
This map shows the geographic impact of Igor B. Kuznetsov'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 Igor B. Kuznetsov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor B. Kuznetsov more than expected).
Fields of papers citing papers by Igor B. Kuznetsov
This network shows the impact of papers produced by Igor B. Kuznetsov. 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 Igor B. Kuznetsov. The network helps show where Igor B. Kuznetsov may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor B. Kuznetsov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 208 | |
| 2 | 2006 | 139 | |
| 3 | 2018 | 80 | |
| 4 | 2003 | 39 | |
| 5 | 2009 | 34 | |
| 6 | 2003 | 33 | |
| 7 | 2008 | 29 | |
| 8 | 2004 | 27 | |
| 9 | 2008 | 20 | |
| 10 | 2020 | 17 | |
| 11 | 2006 | 15 | |
| 12 | 2002 | 12 | |
| 13 | 2009 | 8 | |
| 14 | 2011 | 7 | |
| 15 | 1997 | 6 | |
| 16 | 2008 | 5 | |
| 17 | 1996 | 2 | |
| 18 | 2003 | 2 | |
| 19 | 2004 | 2 | |
| 20 | 2017 | 1 |
About Igor B. Kuznetsov
Igor B. Kuznetsov is a scholar working on Molecular Biology, Materials Chemistry, Neurology, Oncology and Neurology, having authored 24 papers that have together received 689 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Prion Diseases and Protein Misfolding (6 papers), RNA and protein synthesis mechanisms (6 papers), Enzyme Structure and Function (5 papers), Machine Learning in Bioinformatics (3 papers), Neuroblastoma Research and Treatments (2 papers), Neurological diseases and metabolism (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Molecular Biology (491 citations), Neurology (61 citations), Computational Theory and Mathematics (55 citations), Pharmacology (19 citations) and Immunology (43 citations). Igor B. Kuznetsov has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include Seungwoo Hwang, S. Rackovsky, Run Li, Roxana Moslehi, Sivasish Sindiri, Jun S. Wei, Paul M. Sondel, Young Song, Daniela S. Gerhard and Shile Zhang. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Clinical Cancer Research, Protein Science and Protein Engineering Design and Selection.
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.