Ilya Chumakov

11.2k citations
42 papers · 2.5k · h-index 23

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 2%
    • Genomic variations and chromosomal abnormalities
    • Animal Genetics and Reproduction
    • Genetic Associations and Epidemiology

Papers in

    • RNA Research and Splicing 4
    • Genomics and Phylogenetic Studies 4
    • CRISPR and Genetic Engineering 4
    • Virus-based gene therapy research 4
    • Genomic variations and chromosomal abnormalities 4

Ilya Chumakov

41 papers receiving 2.3k citations

Peers

Ilya Chumakov
Comparison fields: 5 of 119
  • Hematology 401
  • Genetics 886
  • Biological Psychiatry 56
  • Molecular Biology 1.4k
  • Biochemistry 103
Replace Michael D. Wilson with:
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Ilya Chumakov relative to Michael D. Wilson Canada Michael D. Wilson's profile →
Citations per field
00.5×3.3×
Michael D. Wilson · 1×
Citations per year

Countries citing papers authored by Ilya Chumakov

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Chumakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995463
2 1993359
3 2001324
4 1983199
5 2007103
6 200698
7 201474
8 199270
9 199559
10 200657
11 198255
12 199653
13 201551
14 199444
15 199643
16 199543
17 199434
18 199532
19 199432
20 199531

About Ilya Chumakov

Ilya Chumakov is a scholar working on Molecular Biology, Genetics, Plant Science, Cellular and Molecular Neuroscience and Neurology, having authored 42 papers that have together received 2.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), RNA Research and Splicing (4 papers), Virus-based gene therapy research (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Phylogenetic Studies (4 papers), CRISPR and Genetic Engineering (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Hematology (401 citations), Genetics (886 citations), Biological Psychiatry (56 citations), Molecular Biology (1.4k citations) and Biochemistry (103 citations). Ilya Chumakov has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Daniel Cohen, Jean Weissenbach, Denis Le Paslier, Roland Berger, Serge Romana, Maryvonne Le Coniat, M Mauchauffé, Olivier Bernard, Daniel Cohen and M. Daniele Fallin. Their work appears in journals such as Genomics, Gene, Genes Chromosomes and Cancer, Orphanet Journal of Rare Diseases and Genome 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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