Dipak K. Sarkar
- Molecular Biology top 5%
- Endocrine and Autonomic Systems top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Reproductive Medicine top 0.5%
- Physiology top 2%
- Co-authors
- Nadka BoyadjievaGeorge FinkÁlvaro Arjona‐SánchezRyan W. LoganNancy M. SherwoodSHARON A. CHIAPPARola A. BekdashSamuel S.C. Yen
- Topics
- Neuropeptides and Animal Physiology (36 papers)Growth Hormone and Insulin-like Growth Factors (36 papers)Prenatal Substance Exposure Effects (35 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Dipak K. Sarkar
207 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.9k
- Endocrine and Autonomic Systems 1.8k
- Endocrinology, Diabetes and Metabolism 1.5k
- Reproductive Medicine 1.3k
- Physiology 1.2k
Countries citing papers authored by Dipak K. Sarkar
This map shows the geographic impact of Dipak K. Sarkar'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 Dipak K. Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipak K. Sarkar more than expected).
Fields of papers citing papers by Dipak K. Sarkar
This network shows the impact of papers produced by Dipak K. Sarkar. 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 Dipak K. Sarkar. The network helps show where Dipak K. Sarkar may publish in the future.
Co-authorship network of co-authors of Dipak K. Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Dipak K. Sarkar. A scholar is included among the top collaborators of Dipak K. Sarkar 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 Dipak K. Sarkar. Dipak K. Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 16 | |
| 9 | 39 | |
| 10 | 22 | |
| 11 | 82 | |
| 12 | 10 | |
| 13 | 173 | |
| 14 | 61 | |
| 15 | 34 | |
| 16 | 4 | |
| 17 | 56 | |
| 18 | The reproductive neuroendocrinology of aging and drug abuse | 3 |
| 19 | 33 | |
| 20 | 55 |
About Dipak K. Sarkar
Dipak K. Sarkar is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 210 papers that have together received 7.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (36 papers), Growth Hormone and Insulin-like Growth Factors (36 papers) and Prenatal Substance Exposure Effects (35 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.8k citations), Behavioral Neuroscience (775 citations) and Reproductive Medicine (1.3k citations). Dipak K. Sarkar has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Nadka Boyadjieva, George Fink, Álvaro Arjona‐Sánchez, Ryan W. Logan, Nancy M. Sherwood, SHARON A. CHIAPPA, Rola A. Bekdash, Samuel S.C. Yen, J. Meites and Paul E. Gottschall. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.