Pramod C. Nair

3.3k citations
47 papers · 2.6k indexed · 1 hit paper · h-index 19
Topics
Pharmacogenetics and Drug Metabolism (14 papers)Drug Transport and Resistance Mechanisms (9 papers)Receptor Mechanisms and Signaling (8 papers)

In The Last Decade

Pramod C. Nair

45 papers receiving 2.5k citations

Hit Papers

An Automated Force Field Topology Builder (ATB) and Repos...2011202620162021201150010001.5k

Peers

Pramod C. Nair
Comparison fields: 5 of 151
  • Molecular Biology 1.2k
  • Organic Chemistry 434
  • Pharmacology 355
  • Computational Theory and Mathematics 319
  • Materials Chemistry 312
Replace Andreas G. Tzakos with:
Andreas G. Tzakos Greece
Carlos Henrique Tomich de Paula da Silva Brazil
Stefanie D. Krämer Switzerland
Mei‐Lin Go Singapore
Patrick J. Loll United States
Martin Stroet Australia
Art E. Cho South Korea
Dean M. Philipp United States
Kasper P. Kepp Denmark
Alpeshkumar K. Malde Australia
Pramod C. Nair relative to Andreas G. Tzakos Greece Andreas G. Tzakos's profile →
Citations per field
00.5×1.5×2.0×
Andreas G. Tzakos · 1×
Citations per year

Countries citing papers authored by Pramod C. Nair

Since Specialization
Citations

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

Fields of papers citing papers by Pramod C. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pramod C. Nair. 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 Pramod C. Nair. The network helps show where Pramod C. Nair may publish in the future.

Co-authorship network of co-authors of Pramod C. Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Pramod C. Nair. A scholar is included among the top collaborators of Pramod C. Nair 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 Pramod C. Nair. Pramod C. Nair 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 0
2 2
3 2
4 12
5 10
6 4
7 6
8 19
9 24
10 8
11 20
12 22
13 12
14 10
15 12
16 33
17 82
18 10
19 25
20 9

About Pramod C. Nair

Pramod C. Nair is a scholar working on Pharmacology, Biochemistry and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (14 papers), Drug Transport and Resistance Mechanisms (9 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Pharmacology (355 citations), Computational Theory and Mathematics (319 citations) and Molecular Biology (1.2k citations). Pramod C. Nair has collaborated with scholars based in Australia, India and United Kingdom. Frequent co-authors include Alan E. Mark, Alpeshkumar K. Malde, David Poger, Chris Oostenbrink, L. Zuo, Martin Stroet, John O. Miners, Ross A. McKinnon, Peter I. Mackenzie and Robyn Meech. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and Physiological Reviews.

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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