Nandakumar Sambandam
- Molecular Biology top 5%
- Physiology top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 10%
- Surgery top 10%
- Co-authors
- Daniel P. KellyMichael CourtoisBrian N. FinckXianlin HanTeresa C. LeoneCarlos Bernal‐MizrachiClay F. SemenkovichGary D. Lopaschuk
- Topics
- Cardiovascular Function and Risk Factors (14 papers)Adipose Tissue and Metabolism (9 papers)Peroxisome Proliferator-Activated Receptors (9 papers)
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Nandakumar Sambandam
30 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 2.2k
- Physiology 1.6k
- Cardiology and Cardiovascular Medicine 1.2k
- Epidemiology 420
- Surgery 385
Countries citing papers authored by Nandakumar Sambandam
This map shows the geographic impact of Nandakumar Sambandam'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 Nandakumar Sambandam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nandakumar Sambandam more than expected).
Fields of papers citing papers by Nandakumar Sambandam
This network shows the impact of papers produced by Nandakumar Sambandam. 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 Nandakumar Sambandam. The network helps show where Nandakumar Sambandam may publish in the future.
Co-authorship network of co-authors of Nandakumar Sambandam
This figure shows the co-authorship network connecting the top 25 collaborators of Nandakumar Sambandam. A scholar is included among the top collaborators of Nandakumar Sambandam 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 Nandakumar Sambandam. Nandakumar Sambandam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 87 | |
| 2 | 103 | |
| 3 | 63 | |
| 4 | 108 | |
| 5 | 98 | |
| 6 | 220 | |
| 7 | 90 | |
| 8 | 130 | |
| 9 | 240 | |
| 10 | 49 | |
| 11 | 205 | |
| 12 | 136 | |
| 13 | PGC-1α Deficiency Causes Multi-System Energy Metabolic Derangements: Muscle Dysfunction, Abnormal Weight Control and Hepatic Steatosisbreakdown → | 805 |
| 14 | 229 | |
| 15 | 97 | |
| 16 | 137 | |
| 17 | 9 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | Susceptibility of spontaneously hypertensive rats to the diabetogenic effects of streptozotocin. | 10 |
About Nandakumar Sambandam
Nandakumar Sambandam is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 30 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (14 papers), Adipose Tissue and Metabolism (9 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). The work is most often cited by research in Physiology (1.6k citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Biochemistry (290 citations). Nandakumar Sambandam has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Daniel P. Kelly, Michael Courtois, Brian N. Finck, Xianlin Han, Teresa C. Leone, Carlos Bernal‐Mizrachi, Clay F. Semenkovich, Gary D. Lopaschuk, John O. Holloszy and Gary D. Lopaschuk. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.