И. В. Берлев

640 citations
77 papers · 243 · h-index 9

Impact in

Papers in

И. В. Берлев

53 papers receiving 230 citations

Peers

И. В. Берлев
Comparison fields: 5 of 36
  • Reproductive Medicine 79
  • Obstetrics and Gynecology 56
  • Cancer Research 55
  • Genetics 65
  • Oncology 45
Replace Koji Nishino with:
Koji Nishino Japan
Mae Zakhour United States
Marcin Jędryka Poland
Ilaria Cuccu Italy
Miłosz Wilczyński Poland
Xiaoshan Chai China
Kumio Yamamoto Japan
Philip Badman United Kingdom
Gonzalo Giornelli Argentina
David Huntsman Canada
И. В. Берлев relative to Koji Nishino Japan Koji Nishino's profile →
Citations per field
00.5×3.7×
Koji Nishino · 1×
Citations per year

Countries citing papers authored by И. В. Берлев

Since Specialization
Citations

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

Fields of papers citing papers by И. В. Берлев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by И. В. Берлев. 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 И. В. Берлев. The network helps show where И. В. Берлев may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201730
2 201825
3 202019
4 202016
5 201816
6 201915
7 201812
8 201710
9 20208
10 20218
11 20216
12 20215
13 20155
14 20184
15 20144
16 20234
17 20164
18 20194
19 20173
20 20232

About И. В. Берлев

И. В. Берлев is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Genetics and Epidemiology, having authored 77 papers that have together received 243 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (28 papers), Ovarian cancer diagnosis and treatment (25 papers), BRCA gene mutations in cancer (14 papers), Cervical Cancer and HPV Research (9 papers), Cancer Risks and Factors (9 papers), Endometriosis Research and Treatment (8 papers), PARP inhibition in cancer therapy (6 papers) and Uterine Myomas and Treatments (6 papers). The work is most often cited by research in Reproductive Medicine (79 citations), Obstetrics and Gynecology (56 citations), Cancer Research (55 citations), Genetics (65 citations) and Oncology (45 citations). И. В. Берлев has collaborated with scholars based in Russia, United States and Belarus. Frequent co-authors include Anna P. Sokolenko, Evgeny N. Imyanitov, Tatiana V. Gorodnova, Ekatherina Sh. Kuligina, Alexandr O. Ivantsov, Lev M. Berstein, Anastasia Malek, Е. A. Ulrikh, А. М. Belyaev and Elena V. Preobrazhenskaya. Their work appears in journals such as International Journal of Gynecological Cancer, Annals of Oncology, Future Oncology, Oncology Reports and European Journal of Cancer.

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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