Vera Chesnokova
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol 11
- Biological Psychiatry top 2%
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 8
-
- Growth Hormone and Insulin-like Growth Factors 14
- Pituitary Gland Disorders and Treatments 13
- Neurology top 5%
-
- Reproductive System and Pregnancy 10
-
- Cytokine Signaling Pathways and Interactions 8
-
- Glioma Diagnosis and Treatment 6
-
- Cancer, Hypoxia, and Metabolism 6
- Co-authors
- Шломо МелмедKolja WawrowskySvetlana ZonisRobert N. PechnickAnat Ben-ShlomoChristoph J. AuernhammerKálmán KovácsVladimir A. Ljubimov
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Clinical Investigation (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Vera Chesnokova
61 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 100
- Behavioral Neuroscience 287
- Biological Psychiatry 197
- Developmental Neuroscience 234
- Endocrinology, Diabetes and Metabolism 833
- Neurology 225
Countries citing papers authored by Vera Chesnokova
This map shows the geographic impact of Vera Chesnokova'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 Vera Chesnokova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera Chesnokova more than expected).
Fields of papers citing papers by Vera Chesnokova
This network shows the impact of papers produced by Vera Chesnokova. 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 Vera Chesnokova. The network helps show where Vera Chesnokova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vera Chesnokova, 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 | 2023 | 4 | |
| 2 | 2021 | 23 | |
| 3 | 2016 | 221 | |
| 4 | 2015 | 144 | |
| 5 | 2015 | 2 | |
| 6 | 2011 | 39 | |
| 7 | 2008 | 14 | |
| 8 | 2008 | 7 | |
| 9 | 2007 | 81 | |
| 10 | 2007 | 13 | |
| 11 | 2006 | 12 | |
| 12 | 2005 | 12 | |
| 13 | 2005 | 7 | |
| 14 | 2004 | 34 | |
| 15 | 2003 | 9 | |
| 16 | 2001 | 30 | |
| 17 | 2000 | 14 | |
| 18 | 1998 | 46 | |
| 19 | 1997 | 2 | |
| 20 | 1983 | 1 |
About Vera Chesnokova
Vera Chesnokova is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 64 papers that have together received 2.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Pituitary Gland Disorders and Treatments (13 papers), Stress Responses and Cortisol (11 papers), Reproductive System and Pregnancy (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Cytokine Signaling Pathways and Interactions (8 papers), Glioma Diagnosis and Treatment (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Behavioral Neuroscience (287 citations), Biological Psychiatry (197 citations) and Developmental Neuroscience (234 citations). Vera Chesnokova has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Шломо Мелмед, Kolja Wawrowsky, Svetlana Zonis, Robert N. Pechnick, Anat Ben-Shlomo, Christoph J. Auernhammer, Kálmán Kovács, Vladimir A. Ljubimov, Anastasia Kariagina and Corinne Bousquet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The EMBO Journal.
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.