Madan M. Kwatra

4.7k total citations · 3 hit papers
85 papers, 3.5k citations indexed

About

Madan M. Kwatra is a scholar working on Molecular Biology, Dermatology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Madan M. Kwatra has authored 85 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 25 papers in Dermatology and 20 papers in Cellular and Molecular Neuroscience. Recurrent topics in Madan M. Kwatra's work include Receptor Mechanisms and Signaling (33 papers), Dermatology and Skin Diseases (21 papers) and Neuropeptides and Animal Physiology (19 papers). Madan M. Kwatra is often cited by papers focused on Receptor Mechanisms and Signaling (33 papers), Dermatology and Skin Diseases (21 papers) and Neuropeptides and Animal Physiology (19 papers). Madan M. Kwatra collaborates with scholars based in United States, Canada and Singapore. Madan M. Kwatra's co-authors include Marc G. Caron, Robert J. Lefkowitz, Shawn G. Kwatra, James Inglese, Julie A. Pitcher, Chong Ae Kim, J.L. Benovic, Patrick J. Casey, Marie Thérèse Hosey and Neil J. Freedman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Madan M. Kwatra

79 papers receiving 3.5k citations

Hit Papers

Role of βγ Subunits of G ... 1992 2026 2003 2014 1992 1992 1994 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
Madan M. Kwatra United States 26 2.4k 1.3k 386 383 355 85 3.5k
Kathryn DeFea United States 31 3.2k 1.3× 1.3k 1.0× 585 1.5× 412 1.1× 224 0.6× 52 4.8k
Susanne Feil Germany 35 2.4k 1.0× 681 0.5× 806 2.1× 240 0.6× 945 2.7× 75 4.2k
Jens Furkert Germany 28 1.1k 0.5× 556 0.4× 482 1.2× 91 0.2× 217 0.6× 60 2.3k
Andreas Breit Germany 25 1.9k 0.8× 1.0k 0.8× 308 0.8× 127 0.3× 186 0.5× 56 2.9k
Satoshi Matsuoka Japan 35 3.7k 1.6× 1.4k 1.1× 226 0.6× 131 0.3× 2.1k 5.8× 89 4.7k
Lynda Tyrrell United States 36 2.9k 1.2× 1.6k 1.2× 2.3k 5.9× 129 0.3× 549 1.5× 49 5.0k
Jun Harada Japan 24 1.3k 0.5× 434 0.3× 342 0.9× 264 0.7× 55 0.2× 63 2.5k
Ingo Kurth Germany 31 1.6k 0.7× 730 0.6× 486 1.3× 279 0.7× 109 0.3× 110 3.5k
Matthew Craner United Kingdom 22 1.4k 0.6× 838 0.6× 786 2.0× 315 0.8× 101 0.3× 31 3.8k
Ana Martín-Villalba Germany 37 3.2k 1.3× 1.3k 1.0× 519 1.3× 518 1.4× 91 0.3× 69 5.7k

Countries citing papers authored by Madan M. Kwatra

Since Specialization
Citations

This map shows the geographic impact of Madan M. Kwatra'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 Madan M. Kwatra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madan M. Kwatra more than expected).

Fields of papers citing papers by Madan M. Kwatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madan M. Kwatra. 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 Madan M. Kwatra. The network helps show where Madan M. Kwatra may publish in the future.

Co-authorship network of co-authors of Madan M. Kwatra

This figure shows the co-authorship network connecting the top 25 collaborators of Madan M. Kwatra. A scholar is included among the top collaborators of Madan M. Kwatra 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 Madan M. Kwatra. Madan M. Kwatra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Patel, Jay, Junwen Deng, Anusha Kambala, et al.. (2024). Spatial Mass Cytometry–Based Single-Cell Imaging Reveals a Disrupted Epithelial–Immune Axis in Prurigo Nodularis. Journal of Investigative Dermatology. 144(11). 2501–2512.e4. 3 indexed citations
3.
Bordeaux, Zachary A., et al.. (2023). Differential Response of Mycosis Fungoides Cells to Vorinostat. International Journal of Molecular Sciences. 24(9). 8075–8075. 5 indexed citations
4.
Vasavda, Chirag, Guihong Wan, Mindy D Szeto, et al.. (2023). A Polygenic Risk Score for Predicting Racial and Genetic Susceptibility to Prurigo Nodularis. Journal of Investigative Dermatology. 143(12). 2416–2426.e1. 16 indexed citations
5.
Deng, Junwen, Varsha Parthasarathy, Hannah Cornman, et al.. (2023). Modulation of Neuroimmune and Epithelial Dysregulation in Patients With Moderate to Severe Prurigo Nodularis Treated With Nemolizumab. JAMA Dermatology. 159(9). 977–977. 10 indexed citations
6.
Bordeaux, Zachary A., Justin Choi, Anusha Kambala, et al.. (2023). Topical GZ21T Inhibits the Growth of Actinic Keratoses in a UVB-Induced Model of Skin Carcinogenesis. SHILAP Revista de lepidopterología. 3(4). 100206–100206.
7.
Choi, Justin, Zachary A. Bordeaux, Varsha Parthasarathy, et al.. (2022). Construction of a Secondary Enclosure for UVB Irradiation of Mice. SHILAP Revista de lepidopterología. 3(1). 100164–100164. 1 indexed citations
8.
Le, Thomas K., Isabelle Brown, Rebecca Goldberg, et al.. (2022). Cutaneous Toxicities Associated with Immune Checkpoint Inhibitors: An Observational, Pharmacovigilance Study. Journal of Investigative Dermatology. 142(11). 2896–2908.e4. 15 indexed citations
9.
Sutaria, Nishadh, Martin P. Alphonse, Varsha Parthasarathy, et al.. (2021). Cluster Analysis of Circulating Plasma Biomarkers in Prurigo Nodularis Reveals a Distinct Systemic Inflammatory Signature in African Americans. Journal of Investigative Dermatology. 142(5). 1300–1308.e3. 26 indexed citations
11.
Khanna, Raveena, et al.. (2019). Diagnostic Workup and Evaluation of Patients with Prurigo Nodularis. SHILAP Revista de lepidopterología. 6(4). 97–97. 41 indexed citations
12.
Flink, Benjamin J., Sarah K. Rivelli, Elizabeth Cox, et al.. (2012). Obstructive Sleep Apnea and Incidence of Postoperative Delirium after Elective Knee Replacement in the Nondemented Elderly. Anesthesiology. 116(4). 788–796. 124 indexed citations
13.
Richardson, Mark D., et al.. (2002). Human substance P receptor undergoes agonist‐dependent phosphorylation by G protein‐coupled receptor kinase 5 in vitro. FEBS Letters. 521(1-3). 140–144. 5 indexed citations
14.
Kilts, Jason D., Mark A. Gerhardt, Mark D. Richardson, et al.. (2000). β2-Adrenergic and Several Other G Protein–Coupled Receptors in Human Atrial Membranes Activate Both Gsand Gi. Circulation Research. 87(8). 705–709. 118 indexed citations
15.
Chen, Baowei, Robert Leverette, Debra A. Schwinn, & Madan M. Kwatra. (1996). Human Gαq: cDNA and tissue distribution. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1281(2). 125–128. 14 indexed citations
16.
Nair, Lawrence, James Inglese, Robert H. Stoffel, et al.. (1995). Cardiac Muscarinic Potassium Channel Activity Is Attenuated by Inhibitors of G βγ. Circulation Research. 76(5). 832–838. 37 indexed citations
17.
Kwatra, Madan M., Robert J. Lefkowitz, & Marc G. Caron. (1994). Partially Purified and Reconstituted G-Protein Coupled Receptors as Substrates of Specific Receptor Kinases. Methods. 6(1). 11–17. 1 indexed citations
18.
Ramkumar, Vickram, et al.. (1993). Functional consequences of A1 adenosine-receptor phosphorylation by the β-adrenergic receptor kinase. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1179(1). 89–97. 22 indexed citations
19.
Attramadal, Håvard, J.L. Arriza, Chiye Aoki, et al.. (1992). Beta-arrestin2, a novel member of the arrestin/beta-arrestin gene family.. Journal of Biological Chemistry. 267(25). 17882–17890. 470 indexed citations breakdown →
20.
Hosey, M. Marlene, Madan M. Kwatra, J Ptasienski, & Ricardo M. Richardson. (1990). Regulation of Receptor Function by Protein Phosphorylation. Annals of the New York Academy of Sciences. 588(1). 155–163. 8 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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