Nandini Vasudevan
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Reproductive Medicine top 2%
- Behavioral Neuroscience top 1%
- Co-authors
- Donald W. PfaffLee‐Ming KowSonoko OgawaMaria M. HadjimarkouSara ClarkNoriyuki KoibuchiWilliam W. ChinYuan‐Shan Zhu
- Topics
- Estrogen and related hormone effects (30 papers)Hypothalamic control of reproductive hormones (14 papers)Receptor Mechanisms and Signaling (10 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysiological ReviewsSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Nandini Vasudevan
39 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Genetics 936
- Endocrinology, Diabetes and Metabolism 601
- Molecular Biology 411
- Reproductive Medicine 383
- Behavioral Neuroscience 350
Countries citing papers authored by Nandini Vasudevan
This map shows the geographic impact of Nandini Vasudevan'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 Nandini Vasudevan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nandini Vasudevan more than expected).
Fields of papers citing papers by Nandini Vasudevan
This network shows the impact of papers produced by Nandini Vasudevan. 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 Nandini Vasudevan. The network helps show where Nandini Vasudevan may publish in the future.
Co-authorship network of co-authors of Nandini Vasudevan
This figure shows the co-authorship network connecting the top 25 collaborators of Nandini Vasudevan. A scholar is included among the top collaborators of Nandini Vasudevan 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 Nandini Vasudevan. Nandini Vasudevan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 15 | |
| 9 | 36 | |
| 10 | 90 | |
| 11 | 29 | |
| 12 | 3 | |
| 13 | 31 | |
| 14 | 46 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 19 | |
| 18 | 38 | |
| 19 | 54 | |
| 20 | 59 |
About Nandini Vasudevan
Nandini Vasudevan is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Genetics, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (30 papers), Hypothalamic control of reproductive hormones (14 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Behavioral Neuroscience (350 citations), Reproductive Medicine (383 citations) and Endocrinology, Diabetes and Metabolism (601 citations). Nandini Vasudevan has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Donald W. Pfaff, Lee‐Ming Kow, Sonoko Ogawa, Maria M. Hadjimarkou, Sara Clark, Noriyuki Koibuchi, William W. Chin, Yuan‐Shan Zhu, Jennifer R. Rainville and Gareth Arnott. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physiological Reviews and SHILAP Revista de lepidopterología.
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.