Sudarshan Rajagopal
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Robert J. LefkowitzJeffrey S. SmithKeith MoffatKeshava RajagopalSudha K. ShenoySeungkirl AhnErin J. WhalenSean Crosson
- Topics
- Pulmonary Hypertension Research and Treatments (46 papers)Receptor Mechanisms and Signaling (35 papers)Cardiovascular Function and Risk Factors (16 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Sudarshan Rajagopal
111 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 4.8k
- Cellular and Molecular Neuroscience 2.8k
- Pulmonary and Respiratory Medicine 937
- Oncology 879
- Cardiology and Cardiovascular Medicine 810
Countries citing papers authored by Sudarshan Rajagopal
This map shows the geographic impact of Sudarshan Rajagopal'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 Sudarshan Rajagopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudarshan Rajagopal more than expected).
Fields of papers citing papers by Sudarshan Rajagopal
This network shows the impact of papers produced by Sudarshan Rajagopal. 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 Sudarshan Rajagopal. The network helps show where Sudarshan Rajagopal may publish in the future.
Co-authorship network of co-authors of Sudarshan Rajagopal
This figure shows the co-authorship network connecting the top 25 collaborators of Sudarshan Rajagopal. A scholar is included among the top collaborators of Sudarshan Rajagopal 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 Sudarshan Rajagopal. Sudarshan Rajagopal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 32 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 121 | |
| 11 | 7 | |
| 12 | 19 | |
| 13 | 73 | |
| 14 | 45 | |
| 15 | 153 | |
| 16 | 165 | |
| 17 | Distinct Phosphorylation Sites on the β 2 -Adrenergic Receptor Establish a Barcode That Encodes Differential Functions of β-Arrestinbreakdown → | 497 |
| 18 | 164 | |
| 19 | 210 | |
| 20 | 53 |
About Sudarshan Rajagopal
Sudarshan Rajagopal is a scholar working on Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 120 papers that have together received 7.7k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (46 papers), Receptor Mechanisms and Signaling (35 papers) and Cardiovascular Function and Risk Factors (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Molecular Biology (4.8k citations) and Structural Biology (61 citations). Sudarshan Rajagopal has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Robert J. Lefkowitz, Jeffrey S. Smith, Keith Moffat, Keshava Rajagopal, Sudha K. Shenoy, Seungkirl Ahn, Erin J. Whalen, Sean Crosson, Kunhong Xiao and Arun K. Shukla. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.