Mikhail Korzinkin

1.5k citations
12 papers · 618 indexed · 1 hit paper · h-index 11

Mikhail Korzinkin

12 papers receiving 600 citations

Hit Papers

PandaOmics: An AI-Driven Platform for Therapeutic Target ...65202420262025204060

Peers

Mikhail Korzinkin
Comparison fields: 5 of 113
  • Aging 61
  • Health Informatics 11
  • Geriatrics and Gerontology 24
  • Cancer Research 87
  • Computational Theory and Mathematics 89
Replace Ivan V. Ozerov with:
Ivan V. Ozerov United States
Kristen Fortney United States
Maggie P. Y. Lam United States
Magdalena Zwierzyna United Kingdom
Nicolas Borisov Russia
Melody K. Morris United States
Peipei Ping United States
Åsa K. Hedman Sweden
Enrico Capobianco United States
Jorgen Engmann United Kingdom
Mikhail Korzinkin relative to Ivan V. Ozerov United States Ivan V. Ozerov's profile →
Citations per field
00.5×4.9×
Ivan V. Ozerov · 1×
Citations per year

Countries citing papers authored by Mikhail Korzinkin

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Korzinkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1
PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discoverybreakdown →
202465
2 202311
3 202321
4 20236
5 202022
6 2016231
7 201619
8 201529
9 201470
10 201445
11 201460
12 201439

About Mikhail Korzinkin

Mikhail Korzinkin is a scholar working on Aging, Biochemistry and Computational Theory and Mathematics, having authored 12 papers that have together received 618 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (4 papers), Amino Acid Enzymes and Metabolism (2 papers), Ubiquitin and proteasome pathways (2 papers), Biomedical Research and Pathophysiology (2 papers), RNA modifications and cancer (1 paper), Click Chemistry and Applications (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Aging (61 citations), Health Informatics (11 citations) and Geriatrics and Gerontology (24 citations). Mikhail Korzinkin has collaborated with scholars based in Russia, Hong Kong and United States. Frequent co-authors include Alex Zhavoronkov, Alexander Aliper, Anton Buzdin, Nikolay Borisov, Alexey Moskalev, Polina Mamoshina, Evgeny Putin, Charles R. Cantor, Jan Vijg and Larisa Venkova. Their work appears in journals such as Nature Communications, Kidney International and Oncotarget.

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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