K. G. Nair
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism
- Physiology
- Co-authors
- David GroveRadovan ZakMurray RabinowitzR ZakV. AschenbrennerTadashi KOIDEAnthony F CutillettaTester F. Ashavaid
- Topics
- Renin-Angiotensin System Studies (4 papers)Cardiomyopathy and Myosin Studies (4 papers)Hormonal Regulation and Hypertension (4 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
K. G. Nair
21 papers receiving 576 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 326
- Cardiology and Cardiovascular Medicine 297
- Surgery 87
- Endocrinology, Diabetes and Metabolism 77
- Physiology 70
Countries citing papers authored by K. G. Nair
This map shows the geographic impact of K. G. Nair'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 K. G. Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. G. Nair more than expected).
Fields of papers citing papers by K. G. Nair
This network shows the impact of papers produced by K. G. Nair. 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 K. G. Nair. The network helps show where K. G. Nair may publish in the future.
Co-authorship network of co-authors of K. G. Nair
This figure shows the co-authorship network connecting the top 25 collaborators of K. G. Nair. A scholar is included among the top collaborators of K. G. Nair 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 K. G. Nair. K. G. Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 26 | |
| 5 | Apolipoprotein E polymorphism and coronary heart disease. | 10 |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | Inhibition cAMP-phosphodiesterase in the rat heart by pentoxifylline--a new xanthine derivative. | 6 |
| 12 | Increased turnover of mitochondrial constituents in cardiac hypertrophy and acute hypoxia in the rat. | 5 |
| 13 | 7 | |
| 14 | 79 | |
| 15 | 162 | |
| 16 | 1 | |
| 17 | 31 | |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 5 |
About K. G. Nair
K. G. Nair is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Animal Science and Zoology, having authored 25 papers that have together received 634 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Cardiomyopathy and Myosin Studies (4 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (297 citations), Aging (9 citations) and Molecular Biology (326 citations). K. G. Nair has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include David Grove, Radovan Zak, Murray Rabinowitz, R Zak, V. Aschenbrenner, Tadashi KOIDE, Anthony F Cutilletta, Tester F. Ashavaid, Kavita Shalia and Jamshed Dalal. Their work appears in journals such as Nature, Circulation Research and Biochemistry.
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.