Faina Bogomolniy
- Molecular Biology top 10%
- Reproductive Medicine top 1%
- Cancer Research top 5%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Jeff BoydDouglas A. LevineRichard R. BarakatPatrick I. BorgenCindy J. YeeRobert A. SoslowAlex LashNarciso Olvera
- Topics
- Ovarian cancer diagnosis and treatment (11 papers)BRCA gene mutations in cancer (5 papers)Cancer Genomics and Diagnostics (5 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Faina Bogomolniy
19 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 976
- Reproductive Medicine 596
- Cancer Research 475
- Oncology 412
- Pathology and Forensic Medicine 405
Countries citing papers authored by Faina Bogomolniy
This map shows the geographic impact of Faina Bogomolniy'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 Faina Bogomolniy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faina Bogomolniy more than expected).
Fields of papers citing papers by Faina Bogomolniy
This network shows the impact of papers produced by Faina Bogomolniy. 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 Faina Bogomolniy. The network helps show where Faina Bogomolniy may publish in the future.
Co-authorship network of co-authors of Faina Bogomolniy
This figure shows the co-authorship network connecting the top 25 collaborators of Faina Bogomolniy. A scholar is included among the top collaborators of Faina Bogomolniy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Faina Bogomolniy. Faina Bogomolniy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 42 | |
| 5 | 77 | |
| 6 | 25 | |
| 7 | 325 | |
| 8 | 7 | |
| 9 | 26 | |
| 10 | 13 | |
| 11 | 146 | |
| 12 | 354 | |
| 13 | 30 | |
| 14 | 0 | |
| 15 | 41 | |
| 16 | 4 | |
| 17 | 131 | |
| 18 | 158 | |
| 19 | Molecular genetic characterization of BRCA1- and BRCA2-linked hereditary ovarian cancers. | 85 |
| 20 | Mutation analysis of the putative tumor suppressor gene PTEN/MMAC1 in primary breast carcinomas. | 219 |
About Faina Bogomolniy
Faina Bogomolniy is a scholar working on Reproductive Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (11 papers), BRCA gene mutations in cancer (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Reproductive Medicine (596 citations), Cancer Research (475 citations) and Obstetrics and Gynecology (228 citations). Faina Bogomolniy has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Jeff Boyd, Douglas A. Levine, Richard R. Barakat, Patrick I. Borgen, Cindy J. Yee, Robert A. Soslow, Alex Lash, Narciso Olvera, Esther Rhei and M.G. Federici. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer 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.