James T. Murai
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Reproductive Medicine top 2%
- Oncology top 10%
- Co-authors
- Pentti K. SiiteriGeoffrey L. HammondRobert W. KuhnJeffrey A. NiskerWILLIAM J. RAYMOURERobert N. TaylorDaisaku OhtaL. E. Gerschenson
- Topics
- Estrogen and related hormone effects (14 papers)Hormonal and reproductive studies (6 papers)Stress Responses and Cortisol (6 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismJNCI Journal of the National Cancer InstituteBiochemical and Biophysical Research Communications
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
James T. Murai
40 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Genetics 620
- Endocrinology, Diabetes and Metabolism 606
- Molecular Biology 449
- Reproductive Medicine 437
- Oncology 330
Countries citing papers authored by James T. Murai
This map shows the geographic impact of James T. Murai'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 James T. Murai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Murai more than expected).
Fields of papers citing papers by James T. Murai
This network shows the impact of papers produced by James T. Murai. 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 James T. Murai. The network helps show where James T. Murai may publish in the future.
Co-authorship network of co-authors of James T. Murai
This figure shows the co-authorship network connecting the top 25 collaborators of James T. Murai. A scholar is included among the top collaborators of James T. Murai 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 James T. Murai. James T. Murai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 51 | |
| 3 | 104 | |
| 4 | 17 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 19 | |
| 8 | 116 | |
| 9 | 74 | |
| 10 | 36 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | 13 | |
| 14 | 23 | |
| 15 | 14 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 104 | |
| 19 | 76 | |
| 20 | The Serum Transport of Steroid Hormonesbreakdown → | 660 |
About James T. Murai
James T. Murai is a scholar working on Behavioral Neuroscience, Genetics and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 2.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Hormonal and reproductive studies (6 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Behavioral Neuroscience (231 citations), Reproductive Medicine (437 citations) and Endocrinology, Diabetes and Metabolism (606 citations). James T. Murai has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Pentti K. Siiteri, Geoffrey L. Hammond, Robert W. Kuhn, Jeffrey A. Nisker, WILLIAM J. RAYMOURE, Robert N. Taylor, Daisaku Ohta, L. E. Gerschenson, D V Landers and Eldon D. Schriock. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, JNCI Journal of the National Cancer Institute and Biochemical and Biophysical Research Communications.
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.