Pradeep M. Nair

26 total papers · 950 total citations
13 papers, 776 citations indexed

About

Pradeep M. Nair is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Pradeep M. Nair has authored 13 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atomic and Molecular Physics, and Optics, 4 papers in Molecular Biology and 3 papers in Spectroscopy. Recurrent topics in Pradeep M. Nair's work include Advanced Chemical Physics Studies (4 papers), Molecular Spectroscopy and Structure (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Pradeep M. Nair is often cited by papers focused on Advanced Chemical Physics Studies (4 papers), Molecular Spectroscopy and Structure (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Pradeep M. Nair collaborates with scholars based in United States, India and France. Pradeep M. Nair's co-authors include Jay T. Groves, Khalid Salaita, Rebecca S. Petit, Richard M. Neve, Joe W. Gray, Debopriya Das, Andrew Streitwieser, John D. Roberts, Avi Ashkenazi and Sean Petersen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Pradeep M. Nair

13 papers receiving 749 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pradeep M. Nair	384	152	144	129	98	13	776
Stefanie Y. Nishimura	505 1.3×	100 0.7×	106 0.7×	122 0.9×	46 0.5×	13	812
Christine A. Grygon	450 1.2×	73 0.5×	69 0.5×	34 0.3×	78 0.8×	22	898
Paul Turner	343 0.9×	253 1.7×	120 0.8×	55 0.4×	86 0.9×	16	783
Thomas Weidemann	642 1.7×	164 1.1×	52 0.4×	70 0.5×	20 0.2×	30	901
Csaba Daday	310 0.8×	166 1.1×	309 2.1×	39 0.3×	74 0.8×	22	751
Signe Mathiasen	677 1.8×	142 0.9×	47 0.3×	67 0.5×	54 0.6×	16	854
Anthony P. Winiski	442 1.2×	40 0.3×	98 0.7×	64 0.5×	37 0.4×	18	640
Luisa Pugliese	479 1.2×	230 1.5×	41 0.3×	62 0.5×	28 0.3×	17	819
Bryan Schmidt	572 1.5×	139 0.9×	59 0.4×	25 0.2×	32 0.3×	17	814
Shirsendu Ghosh	353 0.9×	26 0.2×	157 1.1×	51 0.4×	74 0.8×	27	653

Countries citing papers authored by Pradeep M. Nair

Since Specialization

Citations

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

Fields of papers citing papers by Pradeep M. Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep M. Nair

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

All Works

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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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