Padma Nair

434 total citations
17 papers, 372 citations indexed

About

Padma Nair is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Padma Nair has authored 17 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 4 papers in Organic Chemistry. Recurrent topics in Padma Nair's work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (9 papers) and Chemical Synthesis and Analysis (7 papers). Padma Nair is often cited by papers focused on Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (9 papers) and Chemical Synthesis and Analysis (7 papers). Padma Nair collaborates with scholars based in United States and India. Padma Nair's co-authors include Takashi Yamamoto, Frank Porreca, Josephine Lai, Peg Davis, Victor J. Hruby, Shou-wu Ma, Henry I. Yamamura, Todd W. Vanderah, Edita Navratilova and Gordon K. Anderson and has published in prestigious journals such as Journal of Medicinal Chemistry, British Journal of Pharmacology and Tetrahedron Letters.

In The Last Decade

Padma Nair

16 papers receiving 361 citations

Peers

Padma Nair
Comparison fields: 5 of 53
  • Molecular Biology 254
  • Cellular and Molecular Neuroscience 254
  • Physiology 100
  • Organic Chemistry 63
  • Oncology 29
Replace Karen L. Lobb with:
Karen L. Lobb United States
Simon N. Owen United States
Irena Berezowska Canada
Po‐wai Yuen United States
Jessica P. Anand United States
Serge Belanger United States
Shou-wu Ma United States
Ron Cotton United Kingdom
Mario Grugni United States
Kenner C. Rice United States
Karen L. Lobb United States View profile →
Citations per field, relative to Padma Nair
Padma Nair · 1×
Citations per year, relative to Padma Nair
Padma Nair · 1×

Countries citing papers authored by Padma Nair

Since Specialization
Citations

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

Fields of papers citing papers by Padma Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padma Nair

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 14
2 13
3 25
4 49
5 16
6 30
7 6
8 42
9
Small and Local Structural Modifications Induced Large Change in Bioactivity and Membrane-bound Conformation of Dual Acting Opioid Agonist/NK1 antagonist
1
10 34
11 39
12 49
13 31
14 10
15 4
16 2
17 7

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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