Yan A. Ivanenkov

92 papers receiving 2.3k citations

Hit Papers

Chemistry42: An AI-Driven Platform for Molecular Design and Optimization 2023 · 109 citations
1090+1+2Years since publication255075100

Peers

Yan A. Ivanenkov
Comparison fields: 5 of 143
  • Computational Theory and Mathematics 869
  • Organic Chemistry 531
  • Toxicology 61
  • Pharmacology 147
  • Molecular Biology 1.1k
Replace Fuqiang Ban with:
Fuqiang Ban Canada
Káthia M. Honório Brazil
Rengül Çetin-Atalay Türkiye
Daniel Reker United States
Alexander Hillisch Germany
Jin Huang China
Vinícius Gonçalves Maltarollo Brazil
S. Barret Kalindjian United Kingdom
Hans Matter Germany
Trent E. Balius United States
Yan A. Ivanenkov relative to Fuqiang Ban Canada Fuqiang Ban's profile →
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Citations per year

Countries citing papers authored by Yan A. Ivanenkov

Since Specialization
Citations

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

Fields of papers citing papers by Yan A. Ivanenkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan A. Ivanenkov. 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 Yan A. Ivanenkov. The network helps show where Yan A. Ivanenkov may publish in the future.

Co-authors

The 25 scholars most cited alongside Yan A. Ivanenkov, 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 Yan A. Ivanenkov Line = papers co-authored together Yan A. Ivanenkov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018258
2 2018179
3 2018153
4
Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
Hit paper breakdown →
2023109
5 201584
6 201081
7 201975
8 201071
9 201670
10 200667
11 200364
12 200856
13 201443
14 201642
15 200841
16 201339
17 200438
18 201737
19 200934
20 200434

About Yan A. Ivanenkov

Yan A. Ivanenkov is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 95 papers that have together received 2.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Hepatitis C virus research (7 papers), Receptor Mechanisms and Signaling (6 papers), Click Chemistry and Applications (6 papers), Influenza Virus Research Studies (6 papers), Cancer therapeutics and mechanisms (5 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Computational Theory and Mathematics (869 citations), Organic Chemistry (531 citations), Toxicology (61 citations), Pharmacology (147 citations) and Molecular Biology (1.1k citations). Yan A. Ivanenkov has collaborated with scholars based in Russia, United States and Tajikistan. Frequent co-authors include Konstantin V. Balakin, Vladimir Aladinskiy, Alex Zhavoronkov, Evgeny Putin, Arip Asadulaev, Nikolay Savchuk, Alexandre V. Ivachtchenko, Sean Ekins, Alexander G. Majouga and Bogdan Zagribelnyy. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Expert Opinion on Therapeutic Patents, Russian Chemical Reviews and Molecular Pharmaceutics.

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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