Srinivasan Madabushi

1.3k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Srinivasan Madabushi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Srinivasan Madabushi has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Srinivasan Madabushi's work include Receptor Mechanisms and Signaling (4 papers), Machine Learning in Bioinformatics (2 papers) and Neuropeptides and Animal Physiology (2 papers). Srinivasan Madabushi is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Machine Learning in Bioinformatics (2 papers) and Neuropeptides and Animal Physiology (2 papers). Srinivasan Madabushi collaborates with scholars based in United States, France and Denmark. Srinivasan Madabushi's co-authors include Olivier Lichtarge, Sudha K. Shenoy, Éric Reiter, Robert J. Lefkowitz, Christopher Nelson, Matthew T. Drake, Kunhong Xiao, Richard T. Premont, Anne Philippi and David M. Kristensen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Journal of Molecular Biology.

In The Last Decade

Srinivasan Madabushi

7 papers receiving 1.0k citations

Hit Papers

β-Arrestin-dependent, G Protein-independent ERK1/2 Activa... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Srinivasan Madabushi United States 7 908 448 95 65 61 7 1.1k
Andrejs M. Krumins United States 12 1.2k 1.4× 420 0.9× 28 0.3× 58 0.9× 35 0.6× 12 1.4k
Liaoyuan A. Hu United States 19 1.2k 1.4× 647 1.4× 47 0.5× 76 1.2× 119 2.0× 27 1.5k
Anne Marjamäki Finland 19 675 0.7× 478 1.1× 43 0.5× 78 1.2× 26 0.4× 32 992
Wonjo Jang United States 8 610 0.7× 359 0.8× 58 0.6× 40 0.6× 74 1.2× 12 771
Hans H. Schiffer United States 21 726 0.8× 497 1.1× 28 0.3× 97 1.5× 24 0.4× 29 1.1k
Phan Trieu Canada 15 925 1.0× 483 1.1× 33 0.3× 58 0.9× 68 1.1× 20 1.1k
Jurgen F.M. Vanhauwe Belgium 8 596 0.7× 302 0.7× 21 0.2× 52 0.8× 38 0.6× 10 791
Anke Müller Germany 12 597 0.7× 401 0.9× 35 0.4× 60 0.9× 65 1.1× 14 952
Emir Duzic United States 18 1.3k 1.4× 619 1.4× 21 0.2× 136 2.1× 42 0.7× 29 1.6k
Chan Nguyen United States 10 325 0.4× 267 0.6× 123 1.3× 194 3.0× 26 0.4× 18 757

Countries citing papers authored by Srinivasan Madabushi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

7 of 7 papers shown
1.
Ma, Jian‐Nong, Srinivasan Madabushi, Stig Haunsø, et al.. (2010). An Angiotensin II type 1 receptor activation switch patch revealed through Evolutionary Trace analysis. Biochemical Pharmacology. 80(1). 86–94. 7 indexed citations
2.
Rajagopalan, Lavanya, Nimish Patel, Srinivasan Madabushi, et al.. (2006). Essential Helix Interactions in the Anion Transporter Domain of Prestin Revealed by Evolutionary Trace Analysis. Journal of Neuroscience. 26(49). 12727–12734. 44 indexed citations
3.
Shenoy, Sudha K., Matthew T. Drake, Christopher Nelson, et al.. (2005). β-Arrestin-dependent, G Protein-independent ERK1/2 Activation by the β2 Adrenergic Receptor. Journal of Biological Chemistry. 281(2). 1261–1273. 616 indexed citations breakdown →
4.
Madabushi, Srinivasan, Alecia K. Gross, Anne Philippi, et al.. (2004). Evolutionary Trace of G Protein-coupled Receptors Reveals Clusters of Residues That Determine Global and Class-specific Functions. Journal of Biological Chemistry. 279(9). 8126–8132. 167 indexed citations
5.
Lin, Chin‐Yu, et al.. (2003). Conserved Motifs in Somatostatin, D2-dopamine, and α2B-Adrenergic Receptors for Inhibiting the Na-H Exchanger, NHE1. Journal of Biological Chemistry. 278(17). 15128–15135. 25 indexed citations
6.
Lichtarge, Olivier, Hui Yao, David M. Kristensen, Srinivasan Madabushi, & Ivana Mihalek. (2003). Accurate and scalable identification of functional sites by evolutionary tracing. Journal of Structural and Functional Genomics. 4(2-3). 159–166. 37 indexed citations
7.
Madabushi, Srinivasan, Hui Yao, M. S. Marsh, et al.. (2002). Structural clusters of evolutionary trace residues are statistically significant and common in proteins. Journal of Molecular Biology. 316(1). 139–154. 154 indexed citations

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.

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