Mahesh Mistry

35 total papers · 1.2k total citations
24 papers, 949 citations indexed

About

Mahesh Mistry is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mahesh Mistry has authored 24 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Biochemistry and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mahesh Mistry's work include Eicosanoids and Hypertension Pharmacology (8 papers), Hormonal Regulation and Hypertension (5 papers) and Inflammatory mediators and NSAID effects (4 papers). Mahesh Mistry is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (8 papers), Hormonal Regulation and Hypertension (5 papers) and Inflammatory mediators and NSAID effects (4 papers). Mahesh Mistry collaborates with scholars based in United States, United Kingdom and Germany. Mahesh Mistry's co-authors include Alberto Nasjletti, Richard J. Roman, Carol Moreno, Ming Yu, Kimberly M. Hoagland, T. A. B. Sanders, Mikhail Kagan, David S. Casebier, Ming Yu and Ajay Purohit and has published in prestigious journals such as Journal of the American College of Cardiology, Hypertension and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Mahesh Mistry

24 papers receiving 919 citations

Author Peers

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

Author						Papers	Cites
Mahesh Mistry	410	237	213	209	191	24	949
Ulrike Raff	200 0.5×	430 1.8×	171 0.8×	135 0.6×	182 1.0×	46	1.2k
Kirsten Müller	217 0.5×	348 1.5×	59 0.3×	529 2.5×	279 1.5×	11	1.2k
Ming-Jen Lu	179 0.4×	402 1.7×	70 0.3×	102 0.5×	180 0.9×	23	916
P Segal	352 0.9×	239 1.0×	95 0.4×	245 1.2×	212 1.1×	33	907
Takanori Nakajima	107 0.3×	123 0.5×	78 0.4×	240 1.1×	348 1.8×	35	937
Marie L.S. Lindegaard	393 1.0×	313 1.3×	37 0.2×	206 1.0×	368 1.9×	18	1.1k
Mohsen Eledrisi	307 0.7×	251 1.1×	77 0.4×	149 0.7×	156 0.8×	35	1.1k
Gregory J. Dusting	164 0.4×	280 1.2×	46 0.2×	221 1.1×	230 1.2×	24	1.1k
Eiichiro Yamamoto	188 0.5×	336 1.4×	77 0.4×	141 0.7×	290 1.5×	34	945
Robert H. Furman	418 1.0×	164 0.7×	25 0.1×	334 1.6×	260 1.4×	31	1.1k

Countries citing papers authored by Mahesh Mistry

Since Specialization

Citations

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

Fields of papers citing papers by Mahesh Mistry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahesh Mistry

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Mistry. A scholar is included among the top collaborators of Mahesh Mistry 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 Mahesh Mistry. Mahesh Mistry 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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