K.S. Gajiwala

12.4k citations
30 papers · 7.2k indexed · 2 hit papers · h-index 22
Topics
Protein Structure and Dynamics (5 papers)Computational Drug Discovery Methods (4 papers)Epigenetics and DNA Methylation (4 papers)
Partner nations
United StatesFranceItaly

In The Last Decade

K.S. Gajiwala

30 papers receiving 7.0k citations

Hit Papers

Weight-Reducing Effects of the Plasma Protein Encoded by ...19952026200520151995199610002.0k3.0k

Peers

K.S. Gajiwala
Comparison fields: 5 of 141
  • Molecular Biology 3.0k
  • Endocrine and Autonomic Systems 3.0k
  • Nutrition and Dietetics 1.9k
  • Physiology 1.9k
  • Epidemiology 1.5k
Replace Richard D. DiMarchi with:
Richard D. DiMarchi United States
Masahiko Fujino Japan
Alan Saghatelian United States
Christophe Créminon France
Günter Müller Germany
Frederick H. Leibach United States
Roland Seifert Germany
David M. Neville United States
Gerald W. Becker United States
Roger J.W. Truscott Australia
K.S. Gajiwala relative to Richard D. DiMarchi United States Richard D. DiMarchi's profile →
Citations per field
00.5×1.5×1.8×
Richard D. DiMarchi · 1×
Citations per year

Countries citing papers authored by K.S. Gajiwala

Since Specialization
Citations

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

Fields of papers citing papers by K.S. Gajiwala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.S. Gajiwala. 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 K.S. Gajiwala. The network helps show where K.S. Gajiwala may publish in the future.

Co-authorship network of co-authors of K.S. Gajiwala

This figure shows the co-authorship network connecting the top 25 collaborators of K.S. Gajiwala. A scholar is included among the top collaborators of K.S. Gajiwala 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 K.S. Gajiwala. K.S. Gajiwala 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 54
2 16
3 78
4 41
5 77
6 117
7 18
8 5
9 21
10 109
11 140
12 35
13 336
14 50
15 10
16 83
17 17
18 63
19 173
20 268

About K.S. Gajiwala

K.S. Gajiwala is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics, having authored 30 papers that have together received 7.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (3.0k citations), Nutrition and Dietetics (1.9k citations) and Physiology (1.9k citations). K.S. Gajiwala has collaborated with scholars based in United States, France and Italy. Frequent co-authors include S.K. Burley, Margherita Maffei, Jeffrey L. Halaas, Steven L. Cohen, Roger L. Lallone, Brian T. Chait, Daniel Rabinowitz, Jeffrey M. Friedman, Bret A. Shirley and C. Nick Pace. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.

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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2026