Igor B. Kuznetsov

994 citations
24 papers · 643 · h-index 12

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • Prion Diseases and Protein Misfolding
    • Neuroblastoma Research and Treatments

Papers in

    • RNA and protein synthesis mechanisms 11
    • Protein Structure and Dynamics 11
    • Machine Learning in Bioinformatics 6
    • Prion Diseases and Protein Misfolding 6
    • Genomics and Phylogenetic Studies 5
    • Enzyme Structure and Function 8

Igor B. Kuznetsov

23 papers receiving 632 citations

Peers

Igor B. Kuznetsov
Comparison fields: 5 of 70
  • Molecular Biology 507
  • Neurology 59
  • Computational Theory and Mathematics 58
  • Oncology 69
  • Immunology 53
Replace Gergő Gógl with:
Gergő Gógl Hungary
Michael F. Bailey Australia
Seo Jung Hong United States
Yen-Wei Chu Taiwan
Mehdi Bouhaddou United States
Peter Vanhee Spain
Lisandra M. Gava Brazil
Ghislain M. C. Bonamy United States
T. Shaw United Kingdom
Dong-Uk Kim South Korea
Igor B. Kuznetsov relative to Gergő Gógl Hungary Gergő Gógl's profile →
Citations per field
00.5×4.5×
Gergő Gógl · 1×
Citations per year

Countries citing papers authored by Igor B. Kuznetsov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Igor B. Kuznetsov Line = papers co-authored together Igor B. Kuznetsov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007188
2 2006126
3 201876
4 200337
5 200332
6 200932
7 200827
8 200427
9 200820
10 202017
11 200615
12 200212
13 20098
14 19976
15 20115
16 20085
17 20032
18 19962
19 20042
20 20081

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 643 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Protein Structure and Dynamics (11 papers), Enzyme Structure and Function (8 papers), Machine Learning in Bioinformatics (6 papers), Prion Diseases and Protein Misfolding (6 papers), Genomics and Phylogenetic Studies (5 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 (507 citations), Neurology (59 citations), Computational Theory and Mathematics (58 citations), Oncology (69 citations) and Immunology (53 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, Paul M. Sondel, Jun S. Wei, Young Song, Javed Khan and Daniela S. Gerhard. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Clinical Cancer Research, Protein Science and Cancer Research.

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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