Madan M. Kwatra

4.7k citations
85 papers · 3.5k indexed · 3 hit papers · h-index 26
Topics
Receptor Mechanisms and Signaling (33 papers)Dermatology and Skin Diseases (21 papers)Neuropeptides and Animal Physiology (19 papers)

In The Last Decade

Madan M. Kwatra

79 papers receiving 3.5k citations

Hit Papers

Role of βγ Subunits of G Proteins in Targeting the β-Adre...1992202620032014199219921994200400600

Peers

Madan M. Kwatra
Comparison fields: 5 of 98
  • Molecular Biology 2.4k
  • Cellular and Molecular Neuroscience 1.3k
  • Physiology 386
  • Oncology 383
  • Cardiology and Cardiovascular Medicine 355
Replace Lynda Tyrrell with:
Lynda Tyrrell United States
Jun Harada Japan
Anna Rizzi Italy
Ana Martín-Villalba Germany
Michio Niinobe Japan
Victor Ona United States
Michihiro Igarashi Japan
Neil Collinson United Kingdom
L.M. Fredrik Leeb-Lundberg United States
Kathryn DeFea United States
Madan M. Kwatra relative to Lynda Tyrrell United States Lynda Tyrrell's profile →
Citations per field
00.5×3.0×
Lynda Tyrrell · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 3
3 6
4 16
5 5
6 10
7 1
8 15
9 26
10 5
11 25
12 124
13 82
14 40
15 30
16 5
17 15
18 14
19 14
20 17

About Madan M. Kwatra

Madan M. Kwatra is a scholar working on Dermatology, Critical Care and Intensive Care Medicine and Cellular and Molecular Neuroscience, having authored 85 papers that have together received 3.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (33 papers), Dermatology and Skin Diseases (21 papers) and Neuropeptides and Animal Physiology (19 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (2.4k citations) and Dermatology (293 citations). Madan M. Kwatra has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Marc G. Caron, Robert J. Lefkowitz, Shawn G. Kwatra, James Inglese, Patrick J. Casey, J.L. Benovic, Julie A. Pitcher, Marie Thérèse Hosey, Chong Ae Kim and Lawrence S Barak. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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