K. J. Kripalani

26 total papers · 823 total citations
25 papers, 698 citations indexed

About

K. J. Kripalani is a scholar working on Molecular Biology, Pharmacology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, K. J. Kripalani has authored 25 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Pharmacology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in K. J. Kripalani's work include Pharmacogenetics and Drug Metabolism (7 papers), Renin-Angiotensin System Studies (5 papers) and Inflammatory mediators and NSAID effects (4 papers). K. J. Kripalani is often cited by papers focused on Pharmacogenetics and Drug Metabolism (7 papers), Renin-Angiotensin System Studies (5 papers) and Inflammatory mediators and NSAID effects (4 papers). K. J. Kripalani collaborates with scholars based in United States, Germany and Malaysia. K. J. Kripalani's co-authors include Bruce H. Migdalof, Sampat M. Singhvi, Harry J. Brodie, Doris N. McKinstry, David A Willard, Robert A. Vukovich, Eric C. Schreiber, S. M. Singhvi, Kenneth L. Duchin and Shih-Jung Lan and has published in prestigious journals such as Journal of the American Chemical Society, Antimicrobial Agents and Chemotherapy and Journal of Pharmaceutical Sciences.

In The Last Decade

K. J. Kripalani

25 papers receiving 587 citations

Author Peers

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

Author						Papers	Cites
K. J. Kripalani	227	189	150	90	90	25	698
John J. Schrogie	173 0.8×	86 0.5×	158 1.1×	67 0.7×	53 0.6×	34	688
D S Hewick	140 0.6×	118 0.6×	262 1.7×	91 1.0×	44 0.5×	32	642
J J Lima	161 0.7×	109 0.6×	90 0.6×	80 0.9×	45 0.5×	35	706
Linyee Shum	270 1.2×	186 1.0×	101 0.7×	57 0.6×	120 1.3×	23	780
James M. Jaffe	193 0.9×	54 0.3×	188 1.3×	111 1.2×	80 0.9×	46	786
Sylvie Pilote	168 0.7×	161 0.9×	159 1.1×	75 0.8×	73 0.8×	29	643
Weihong Ge	270 1.2×	76 0.4×	182 1.2×	83 0.9×	59 0.7×	58	792
R. Zacest	162 0.7×	224 1.2×	123 0.8×	36 0.4×	80 0.9×	24	749
Renpei Nagashima	204 0.9×	86 0.5×	203 1.4×	79 0.9×	21 0.2×	15	720
H.F. Woods	126 0.6×	98 0.5×	327 2.2×	130 1.4×	76 0.8×	9	706

Countries citing papers authored by K. J. Kripalani

Since Specialization

Citations

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

Fields of papers citing papers by K. J. Kripalani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. J. Kripalani

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