Rahul Kakkar
- Immunology top 2%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Physiology top 5%
- Co-authors
- Richard LeeElizabeth M. McNallyKaren A. LapidosCian P. McCarthySean MurphyJames L. JanuzziRichard B. BerryHillary Hei
- Topics
- IL-33, ST2, and ILC Pathways (6 papers)Eosinophilic Esophagitis (4 papers)Cardiac Fibrosis and Remodeling (4 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Rahul Kakkar
41 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 1.0k
- Molecular Biology 955
- Cardiology and Cardiovascular Medicine 955
- Surgery 713
- Physiology 505
Countries citing papers authored by Rahul Kakkar
This map shows the geographic impact of Rahul Kakkar'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 Rahul Kakkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Kakkar more than expected).
Fields of papers citing papers by Rahul Kakkar
This network shows the impact of papers produced by Rahul Kakkar. 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 Rahul Kakkar. The network helps show where Rahul Kakkar may publish in the future.
Co-authorship network of co-authors of Rahul Kakkar
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Kakkar. A scholar is included among the top collaborators of Rahul Kakkar 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 Rahul Kakkar. Rahul Kakkar 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 | 6 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 54 | |
| 6 | Inflammation in Heart Failurebreakdown → | 440 |
| 7 | 5 | |
| 8 | 8 | |
| 9 | Abstract 13727: Effects of Ziltivekimab (ZILTI), a Novel Anti-Interleukin-6 Monoclonal Antibody, on Markers of Inflammation and Cardiovascular Risk in Patients With Chronic Kidney Disease on Hemodialysis | 3 |
| 10 | 5 | |
| 11 | 16 | |
| 12 | 242 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 37 | |
| 17 | 79 | |
| 18 | 29 | |
| 19 | 32 | |
| 20 | 146 |
About Rahul Kakkar
Rahul Kakkar is a scholar working on Nephrology, Immunology and Experimental and Cognitive Psychology, having authored 42 papers that have together received 3.1k indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (6 papers), Eosinophilic Esophagitis (4 papers) and Cardiac Fibrosis and Remodeling (4 papers). The work is most often cited by research in Immunology (1.0k citations), Cardiology and Cardiovascular Medicine (955 citations) and Physiology (505 citations). Rahul Kakkar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Richard Lee, Elizabeth M. McNally, Karen A. Lapidos, Cian P. McCarthy, Sean Murphy, James L. Januzzi, Richard B. Berry, Hillary Hei, Stephan Dobner and Joseph Gannon. 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.