Ivan Kuzmin
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in
-
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
- CRISPR and Genetic Engineering 2
- DNA Repair Mechanisms 1
- Pluripotent Stem Cells Research 1
- Co-authors
- Liis Kolberg (4 shared papers)Hedi Peterson (6 shared papers)Uku Raudvere (3 shared papers)Priit Adler (4 shared papers)Jaak Vilo (4 shared papers)T. V. Arak (1 shared paper)Manoj Pandian Sakthivel (1 shared paper)Jonathan Manning (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Nature Communications (1 paper)Tropical Medicine and Infectious Disease (1 paper)Nature Biotechnology (1 paper)BMC Genomics (1 paper)
- Partner nations
- EstoniaUnited StatesUnited Kingdom
In The Last Decade
Ivan Kuzmin
9 papers receiving 4.3k citations
Ivan Kuzmin's Hit Papers
Peers
Comparison fields: 5 of 138
- Aging 71
- Molecular Biology 2.2k
- Cancer Research 439
- Genetics 667
- Immunology 451
Countries citing papers authored by Ivan Kuzmin
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update) Hit paper breakdown → | 2019 | 3372 |
| 2 | g:Profiler—interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update) Hit paper breakdown → | 2023 | 676 |
| 3 | A compendium of uniformly processed human gene expression and splicing quantitative trait loci Hit paper breakdown → | 2021 | 180 |
| 4 | 2023 | 56 | |
| 5 | 2017 | 21 | |
| 6 | 2022 | 10 | |
| 7 | 2024 | 5 | |
| 8 | 2020 | 3 | |
| 9 | 2018 | 2 |
About Ivan Kuzmin
Ivan Kuzmin is a scholar working on Molecular Biology, Infectious Diseases, Virology, Epidemiology and Genetics, having authored 9 papers that have together received 4.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), CRISPR and Genetic Engineering (2 papers), DNA Repair Mechanisms (1 paper), Pluripotent Stem Cells Research (1 paper), Microbial infections and disease research (1 paper) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Aging (71 citations), Molecular Biology (2.2k citations), Cancer Research (439 citations), Genetics (667 citations) and Immunology (451 citations). Ivan Kuzmin has collaborated with scholars based in Estonia, United States and United Kingdom. Frequent co-authors include Liis Kolberg, Hedi Peterson, Uku Raudvere, Priit Adler, Jaak Vilo, T. V. Arak, Manoj Pandian Sakthivel, Jonathan Manning, Peter Walter and Helen Parkinson. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Tropical Medicine and Infectious Disease, Nature Biotechnology and BMC Genomics.
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.