Amit S. Kulkarni

31 total papers · 638 total citations
22 papers, 476 citations indexed

About

Amit S. Kulkarni is a scholar working on Epidemiology, Economics and Econometrics and Immunology. According to data from OpenAlex, Amit S. Kulkarni has authored 22 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Economics and Econometrics and 5 papers in Immunology. Recurrent topics in Amit S. Kulkarni's work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Blood Pressure and Hypertension Studies (3 papers). Amit S. Kulkarni is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (6 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Blood Pressure and Hypertension Studies (3 papers). Amit S. Kulkarni collaborates with scholars based in United States, Japan and France. Amit S. Kulkarni's co-authors include Rajesh Balkrishnan, Steven R. Feldman, Roger T. Anderson, Elizabeth A. Fortunato, Mark Stacy, Heather M. Edin, Rajesh Balkrishnan, Min Luo, Philip H. Schwartz and Karl‐Erik Andersson and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Amit S. Kulkarni

22 papers receiving 462 citations

Author Peers

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

Author						Papers	Cites
Amit S. Kulkarni	173	79	78	68	65	22	476
Adem Köşlü	126 0.7×	93 1.2×	104 1.3×	217 3.2×	38 0.6×	33	460
Priyanka Vedak	102 0.6×	7 0.1×	28 0.4×	86 1.3×	36 0.6×	24	511
Bernadette Porter	98 0.6×	161 2.0×	13 0.2×	50 0.7×	171 2.6×	32	549
Amy Perrin Ross	28 0.2×	32 0.4×	65 0.8×	19 0.3×	61 0.9×	35	422
L. Zografos	66 0.4×	81 1.0×	35 0.4×	37 0.5×	128 2.0×	24	500
Steven Wang	28 0.2×	19 0.2×	23 0.3×	40 0.6×	58 0.9×	23	543
Edmund Sabo	78 0.5×	41 0.5×	39 0.5×	25 0.4×	179 2.8×	15	515
Pleas Copas	55 0.3×	55 0.7×	19 0.2×	21 0.3×	114 1.8×	26	426
Eric L. Matteson	61 0.4×	12 0.2×	24 0.3×	44 0.6×	89 1.4×	16	517
G M Zavras	43 0.2×	13 0.2×	115 1.5×	70 1.0×	42 0.6×	19	518

Countries citing papers authored by Amit S. Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Amit S. Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit S. Kulkarni. 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 Amit S. Kulkarni. The network helps show where Amit S. Kulkarni may publish in the future.

Co-authorship network of co-authors of Amit S. Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Amit S. Kulkarni. A scholar is included among the top collaborators of Amit S. Kulkarni 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 Amit S. Kulkarni. Amit S. Kulkarni 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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