S. J. Nazian
- Reproductive Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Social Psychology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- John R. DietzDon F. CameronV.B. MaheshJimmy D. NeillM. E. FreemanM. Susan SmithKarl MufflyDavid L. Vesely
- Topics
- Hormonal and reproductive studies (19 papers)Hypothalamic control of reproductive hormones (18 papers)Stress Responses and Cortisol (12 papers)
- Journals
- EndocrinologyAnnals of the New York Academy of SciencesAmerican Journal of Physiology-Endocrinology and Metabolism
- Partner nations
- United StatesJapan
In The Last Decade
S. J. Nazian
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Reproductive Medicine 361
- Endocrinology, Diabetes and Metabolism 214
- Molecular Biology 194
- Social Psychology 187
- Public Health, Environmental and Occupational Health 161
Countries citing papers authored by S. J. Nazian
This map shows the geographic impact of S. J. Nazian'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 S. J. Nazian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. J. Nazian more than expected).
Fields of papers citing papers by S. J. Nazian
This network shows the impact of papers produced by S. J. Nazian. 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 S. J. Nazian. The network helps show where S. J. Nazian may publish in the future.
Co-authorship network of co-authors of S. J. Nazian
This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Nazian. A scholar is included among the top collaborators of S. J. Nazian 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 S. J. Nazian. S. J. Nazian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 92 | |
| 2 | 128 | |
| 3 | 42 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | 30 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 21 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 9 | |
| 13 | 44 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 27 | |
| 19 | 11 | |
| 20 | 8 |
About S. J. Nazian
S. J. Nazian is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (19 papers), Hypothalamic control of reproductive hormones (18 papers) and Stress Responses and Cortisol (12 papers). The work is most often cited by research in Reproductive Medicine (361 citations), Behavioral Neuroscience (81 citations) and Endocrine and Autonomic Systems (114 citations). S. J. Nazian has collaborated with scholars based in United States and Japan. Frequent co-authors include John R. Dietz, Don F. Cameron, V.B. Mahesh, Jimmy D. Neill, M. E. Freeman, M. Susan Smith, Karl Muffly, David L. Vesely, Takashi Mori and Jennifer R. Cracchiolo. Their work appears in journals such as Endocrinology, Annals of the New York Academy of Sciences and American Journal of Physiology-Endocrinology and Metabolism.
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.