Igor Katsyv
Impact in
- Obstetrics and Gynecology top 10%
- COVID-19 Impact on Reproduction
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Bioinformatics and Genomic Networks 3
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 1
- Oncology 3
- Co-authors
- Bin Zhang (5 shared papers)Minghui Wang (5 shared papers)Andrew McKenzie (2 shared papers)Hanna Y. Irie (5 shared papers)Koichi Ito (3 shared papers)Rut Tejero (3 shared papers)Roland H. Friedel (3 shared papers)Grace E. Park (1 shared paper)
- Journals
- Breast Cancer Research (2 papers)Human Pathology (2 papers)American Journal of Clinical Pathology (1 paper)Bioinformatics (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Igor Katsyv
16 papers receiving 689 citations
Peers
Comparison fields: 5 of 85
- Obstetrics and Gynecology 63
- Genetics 86
- Cancer Research 107
- Molecular Biology 336
- Oncology 122
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 151 | |
| 2 | 2019 | 90 | |
| 3 | 2020 | 69 | |
| 4 | 2010 | 69 | |
| 5 | 2018 | 66 | |
| 6 | 2020 | 63 | |
| 7 | 2015 | 39 | |
| 8 | 2016 | 36 | |
| 9 | 2016 | 34 | |
| 10 | 2018 | 27 | |
| 11 | 2021 | 25 | |
| 12 | 2017 | 23 | |
| 13 | Trophoblast Damage with Acute and Chronic Intervillositis: Disruption of Placental Barrier by SARS-CoV-2 | 2020 | 1 |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2023 | 0 |
About Igor Katsyv
Igor Katsyv is a scholar working on Molecular Biology, Oncology, Genetics, Obstetrics and Gynecology and Cell Biology, having authored 17 papers that have together received 696 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Epigenetics and DNA Methylation (2 papers), Pregnancy and preeclampsia studies (2 papers), COVID-19 Impact on Reproduction (2 papers), RNA modifications and cancer (2 papers), Glioma Diagnosis and Treatment (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Obstetrics and Gynecology (63 citations), Genetics (86 citations), Cancer Research (107 citations), Molecular Biology (336 citations) and Oncology (122 citations). Igor Katsyv has collaborated with scholars based in United States and Germany. Frequent co-authors include Bin Zhang, Minghui Wang, Andrew McKenzie, Hanna Y. Irie, Koichi Ito, Rut Tejero, Roland H. Friedel, Grace E. Park, Leopold Arko and John K. Park. Their work appears in journals such as Breast Cancer Research, Human Pathology, American Journal of Clinical Pathology, Bioinformatics 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.