Kamaldeep K. Chohan

19 total papers · 569 total citations
17 papers, 412 citations indexed

About

Kamaldeep K. Chohan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Kamaldeep K. Chohan has authored 17 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Pharmacology. Recurrent topics in Kamaldeep K. Chohan's work include Computational Drug Discovery Methods (6 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Analytical Chemistry and Chromatography (4 papers). Kamaldeep K. Chohan is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Analytical Chemistry and Chromatography (4 papers). Kamaldeep K. Chohan collaborates with scholars based in United Kingdom, United States and Brazil. Kamaldeep K. Chohan's co-authors include Stuart W. Paine, Michael J. Sutcliffe, Nigel S. Scrutton, A. M. Davis, Patrick Barton, Nigel J. Waters, Jaina Mistry, Robert E. Oswald, Paul Faulder and Gary Tresadern and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Kamaldeep K. Chohan

17 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Kamaldeep K. Chohan	231	179	117	82	48	17	412
Péter Hári	236 1.0×	129 0.7×	34 0.3×	49 0.6×	37 0.8×	14	404
G.I. Bachmanova	173 0.7×	64 0.4×	173 1.5×	54 0.7×	34 0.7×	23	380
Jolanta Żurek	263 1.1×	64 0.4×	149 1.3×	35 0.4×	65 1.4×	8	474
Г.П. Кузнецова	202 0.9×	85 0.5×	233 2.0×	106 1.3×	14 0.3×	26	468
Liying Zhang	207 0.9×	280 1.6×	39 0.3×	57 0.7×	61 1.3×	20	470
Constantine Kreatsoulas	300 1.3×	269 1.5×	31 0.3×	31 0.4×	72 1.5×	12	449
Joseph R. Votano	186 0.8×	211 1.2×	43 0.4×	114 1.4×	53 1.1×	15	477
Narayanan Surendran	146 0.6×	82 0.5×	83 0.7×	53 0.6×	54 1.1×	22	459
Billy J. Williams‐Noonan	271 1.2×	151 0.8×	26 0.2×	29 0.4×	60 1.3×	15	460
Navjeet Ahalawat	373 1.6×	72 0.4×	24 0.2×	55 0.7×	100 2.1×	23	489

Countries citing papers authored by Kamaldeep K. Chohan

Since Specialization

Citations

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

Fields of papers citing papers by Kamaldeep K. Chohan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamaldeep K. Chohan

This figure shows the co-authorship network connecting the top 25 collaborators of Kamaldeep K. Chohan. A scholar is included among the top collaborators of Kamaldeep K. Chohan 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 Kamaldeep K. Chohan. Kamaldeep K. Chohan 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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