Ajit Regmi
Impact in
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- Stress Responses and Cortisol
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
Papers in
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- Metabolism, Diabetes, and Cancer 2
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- Diabetes Treatment and Management 3
- Co-authors
- William C. Roell (6 shared papers)John Kasckow (4 shared papers)Sulaiman Sheriff (3 shared papers)Yan Chen (2 shared papers)Haihong Guo (1 shared paper)Mengdie Luo (1 shared paper)Yuewei Qian (1 shared paper)Robert W. Siegel (1 shared paper)
- Journals
- Diabetes (2 papers)Regulatory Peptides (2 papers)Basic Research in Cardiology (1 paper)Bone (1 paper)Diabetes Obesity and Metabolism (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Ajit Regmi
11 papers receiving 296 citations
Peers
Comparison fields: 5 of 52
- Behavioral Neuroscience 29
- Endocrinology, Diabetes and Metabolism 120
- Biological Psychiatry 14
- Cardiology and Cardiovascular Medicine 123
- Endocrine and Autonomic Systems 32
Countries citing papers authored by Ajit Regmi
This map shows the geographic impact of Ajit Regmi'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 Ajit Regmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Regmi more than expected).
Fields of papers citing papers by Ajit Regmi
This network shows the impact of papers produced by Ajit Regmi. 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 Ajit Regmi. The network helps show where Ajit Regmi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajit Regmi, 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 | 2020 | 116 | |
| 2 | 2019 | 60 | |
| 3 | 1998 | 29 | |
| 4 | 1998 | 22 | |
| 5 | 1999 | 19 | |
| 6 | 1998 | 17 | |
| 7 | 1999 | 11 | |
| 8 | 2021 | 9 | |
| 9 | 2005 | 8 | |
| 10 | 2019 | 5 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 0 |
About Ajit Regmi
Ajit Regmi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 299 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (3 papers), Stress Responses and Cortisol (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Tryptophan and brain disorders (2 papers), Lipid metabolism and disorders (2 papers), Neuropeptides and Animal Physiology (2 papers), Acute Myeloid Leukemia Research (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Behavioral Neuroscience (29 citations), Endocrinology, Diabetes and Metabolism (120 citations), Biological Psychiatry (14 citations), Cardiology and Cardiovascular Medicine (123 citations) and Endocrine and Autonomic Systems (32 citations). Ajit Regmi has collaborated with scholars based in United States and Sweden. Frequent co-authors include William C. Roell, John Kasckow, Sulaiman Sheriff, Yan Chen, Haihong Guo, Mengdie Luo, Yuewei Qian, Robert W. Siegel, Yuejun Zhen and Mariam Ehsani. Their work appears in journals such as Diabetes, Regulatory Peptides, Basic Research in Cardiology, Bone and Diabetes Obesity 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.