Khuraijam Dhanachandra Singh
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- Computational Drug Discovery Methods 11
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- Renin-Angiotensin System Studies 12
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- Hormonal Regulation and Hypertension 7
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- Receptor Mechanisms and Signaling 12
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- Neuropeptides and Animal Physiology 4
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- Influenza Virus Research Studies 3
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- Genetic Associations and Epidemiology 3
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- Apelin-related biomedical research 3
- Co-authors
- Sadashiva S. KarnikKarthikeyan MuthusamyPalani KirubakaranSelvaraman NagamaniHamiyet ÜnalKalyan TirupulaRussell DesnoyerSugunadevi Sakkiah
- Cited by
- Computational Theory and MathematicsCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Hypertension (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Khuraijam Dhanachandra Singh
38 papers receiving 676 citations
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 159
- Cardiology and Cardiovascular Medicine 167
- Endocrinology, Diabetes and Metabolism 109
- Molecular Biology 315
- Infectious Diseases 83
Countries citing papers authored by Khuraijam Dhanachandra Singh
This map shows the geographic impact of Khuraijam Dhanachandra Singh'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 Khuraijam Dhanachandra Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khuraijam Dhanachandra Singh more than expected).
Fields of papers citing papers by Khuraijam Dhanachandra Singh
This network shows the impact of papers produced by Khuraijam Dhanachandra Singh. 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 Khuraijam Dhanachandra Singh. The network helps show where Khuraijam Dhanachandra Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Khuraijam Dhanachandra Singh, 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 | 2024 | 4 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 2 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 12 | |
| 11 | 2017 | 82 | |
| 12 | 2015 | 3 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 10 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 23 | |
| 17 | 2012 | 13 | |
| 18 | 2011 | 46 | |
| 19 | 2011 | 5 | |
| 20 | 2009 | 5 |
About Khuraijam Dhanachandra Singh
Khuraijam Dhanachandra Singh is a scholar working on Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 685 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Renin-Angiotensin System Studies (12 papers), Computational Drug Discovery Methods (11 papers), Hormonal Regulation and Hypertension (7 papers), Neuropeptides and Animal Physiology (4 papers), Influenza Virus Research Studies (3 papers), Genetic Associations and Epidemiology (3 papers) and Apelin-related biomedical research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (159 citations), Cardiology and Cardiovascular Medicine (167 citations) and Endocrinology, Diabetes and Metabolism (109 citations). Khuraijam Dhanachandra Singh has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Sadashiva S. Karnik, Karthikeyan Muthusamy, Palani Kirubakaran, Selvaraman Nagamani, Hamiyet Ünal, Kalyan Tirupula, Russell Desnoyer, Sugunadevi Sakkiah, Shanthi Nagarajan and Jeyaraman Jeyakanthan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Hypertension.
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.