Srinivasan Madabushi
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Computational Theory and Mathematics top 5%
- Physiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Olivier LichtargeRobert J. LefkowitzKunhong XiaoChristopher NelsonSudha K. ShenoyÉric ReiterRichard T. PremontMatthew T. Drake
- Topics
- Receptor Mechanisms and Signaling (4 papers)Machine Learning in Bioinformatics (2 papers)Neuropeptides and Animal Physiology (2 papers)
- Partner nations
- United StatesDenmarkFrance
In The Last Decade
Srinivasan Madabushi
7 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 908
- Cellular and Molecular Neuroscience 448
- Computational Theory and Mathematics 95
- Physiology 65
- Radiology, Nuclear Medicine and Imaging 61
Countries citing papers authored by Srinivasan Madabushi
This map shows the geographic impact of Srinivasan Madabushi'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 Srinivasan Madabushi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivasan Madabushi more than expected).
Fields of papers citing papers by Srinivasan Madabushi
This network shows the impact of papers produced by Srinivasan Madabushi. 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 Srinivasan Madabushi. The network helps show where Srinivasan Madabushi may publish in the future.
Co-authorship network of co-authors of Srinivasan Madabushi
This figure shows the co-authorship network connecting the top 25 collaborators of Srinivasan Madabushi. A scholar is included among the top collaborators of Srinivasan Madabushi 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 Srinivasan Madabushi. Srinivasan Madabushi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 44 | |
| 3 | β-Arrestin-dependent, G Protein-independent ERK1/2 Activation by the β2 Adrenergic Receptorbreakdown → | 616 |
| 4 | 167 | |
| 5 | 25 | |
| 6 | 37 | |
| 7 | 154 |
About Srinivasan Madabushi
Srinivasan Madabushi is a scholar working on Developmental Biology, Sensory Systems and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Machine Learning in Bioinformatics (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (448 citations), Molecular Biology (908 citations) and Sensory Systems (38 citations). Srinivasan Madabushi has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Olivier Lichtarge, Robert J. Lefkowitz, Kunhong Xiao, Christopher Nelson, Sudha K. Shenoy, Éric Reiter, Richard T. Premont, Matthew T. Drake, Anne Philippi and David M. Kristensen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Journal of Molecular Biology.
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.