Ivan Kuzmin

9.0k citations
9 papers · 4.1k indexed · 3 hit papers · h-index 6

Impact in

  • Aging top 5%
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Ivan Kuzmin

9 papers receiving 4.0k citations

Hit Papers

g:Profiler—interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update) 2023 · 557 citations
557201920262021202310002.0k3.0k

Peers

Ivan Kuzmin
Comparison fields: 5 of 144
  • Aging 69
  • Cancer Research 532
  • Molecular Biology 2.4k
  • Genetics 714
  • Immunology 486
Replace Uku Raudvere with:
Uku Raudvere Estonia
Liis Kolberg Estonia
Dustin Ebert United States
Steffen Durinck United States
Eran Eden Israel
Ge Tan Switzerland
Anders Lade Nielsen Denmark
Xiaosong Huang United States
Weijun Luo United States
Michael D. Wilson Canada
Ivan Kuzmin relative to Uku Raudvere Estonia Uku Raudvere's profile →
Citations per field
00.5×1.5×
Uku Raudvere · 1×
Citations per year

Countries citing papers authored by Ivan Kuzmin

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Kuzmin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 20243
2 202351
3
g:Profiler—interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update)
Hit paper breakdown →
2023557
4 20229
5
A compendium of uniformly processed human gene expression and splicing quantitative trait loci
Hit paper breakdown →
2021165
6 20203
7
g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update)
Hit paper breakdown →
20193248
8 20182
9 201721

About Ivan Kuzmin

Ivan Kuzmin is a scholar working on Virology, Microbiology, Infectious Diseases, Molecular Biology and Spectroscopy, having authored 9 papers that have together received 4.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Phylogenetic Studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), RNA modifications and cancer (1 paper), Pluripotent Stem Cells Research (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Aging (69 citations), Cancer Research (532 citations), Molecular Biology (2.4k citations), Genetics (714 citations) and Immunology (486 citations). Ivan Kuzmin has collaborated with scholars based in Estonia, United Kingdom and United States. Frequent co-authors include Liis Kolberg, Hedi Peterson, Uku Raudvere, Jaak Vilo, Priit Adler, T. V. Arak, Jonathan Manning, Nurlan Kerimov, Simon Jupp and Andrew Yates. Their work appears in journals such as Nucleic Acids Research, Nature Genetics, BMC Genomics, Tropical Medicine and Infectious Disease and Nature Communications.

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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