Igor Katsyv
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 2
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- Bioinformatics and Genomic Networks 3
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- Co-authors
- Bin Zhang (5 shared papers)Minghui Wang (5 shared papers)Andrew T McKenzie (2 shared papers)Hanna Yoko Irie (5 shared papers)Koichi Ito (3 shared papers)Rut Tejero (3 shared papers)Roland H. Friedel (3 shared papers)Gwyneth Halstead-Nussloch (2 shared papers)
- Journals
- Breast Cancer Research (2 papers)Human Pathology (2 papers)Nature (2 papers)Bioinformatics (1 paper)Cancer Immunology Research (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Igor Katsyv
20 papers receiving 1.9k citations
Igor Katsyv's Hit Papers
Peers
Comparison fields: 5 of 101
- Infectious Diseases 504
- Neurology 269
- Immunology 302
- Obstetrics and Gynecology 89
- Cancer Research 163
Countries citing papers authored by Igor Katsyv
This map shows the geographic impact of Igor Katsyv'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 Igor Katsyv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Katsyv more than expected).
Fields of papers citing papers by Igor Katsyv
This network shows the impact of papers produced by Igor Katsyv. 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 Igor Katsyv. The network helps show where Igor Katsyv may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Katsyv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets Hit paper breakdown → | 2021 | 577 |
| 2 | A molecular single-cell lung atlas of lethal COVID-19 Hit paper breakdown → | 2021 | 476 |
| 3 | 2016 | 164 | |
| 4 | 2017 | 94 | |
| 5 | 2019 | 91 | |
| 6 | 2020 | 81 | |
| 7 | 2020 | 74 | |
| 8 | 2018 | 70 | |
| 9 | 2010 | 69 | |
| 10 | 2015 | 40 | |
| 11 | 2016 | 39 | |
| 12 | 2016 | 38 | |
| 13 | 2018 | 31 | |
| 14 | 2021 | 29 | |
| 15 | 2017 | 25 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2016 | 1 | |
| 19 | Trophoblast Damage with Acute and Chronic Intervillositis: Disruption of Placental Barrier by SARS-CoV-2 | 2020 | 1 |
| 20 | 2025 | 1 |
About Igor Katsyv
Igor Katsyv is a scholar working on Oncology, Molecular Biology, Obstetrics and Gynecology, Genetics and Cell Biology, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Glioma Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), COVID-19 Impact on Reproduction (2 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers), Pregnancy and preeclampsia studies (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Infectious Diseases (504 citations), Neurology (269 citations), Immunology (302 citations), Obstetrics and Gynecology (89 citations) and Cancer Research (163 citations). Igor Katsyv has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Bin Zhang, Minghui Wang, Andrew T McKenzie, Hanna Yoko Irie, Koichi Ito, Rut Tejero, Roland H. Friedel, Gwyneth Halstead-Nussloch, John K. Park and Grace E. Park. Their work appears in journals such as Breast Cancer Research, Human Pathology, Nature, Bioinformatics and Cancer Immunology 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.