Stanley T. Parish

27 total papers · 663 total citations
15 papers, 493 citations indexed

About

Stanley T. Parish is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Stanley T. Parish has authored 15 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Epidemiology. Recurrent topics in Stanley T. Parish's work include Cardiac electrophysiology and arrhythmias (4 papers), Immune Cell Function and Interaction (4 papers) and Cytomegalovirus and herpesvirus research (3 papers). Stanley T. Parish is often cited by papers focused on Cardiac electrophysiology and arrhythmias (4 papers), Immune Cell Function and Interaction (4 papers) and Cytomegalovirus and herpesvirus research (3 papers). Stanley T. Parish collaborates with scholars based in United States, Germany and South Africa. Stanley T. Parish's co-authors include Rita B. Effros, Jennifer E. Wu, Suzanne Fitzpatrick, Marco Corvaro, Alan R. Boobis, Daiju Yamazaki, Douglas C. Wolf, Michael Aschner, Raja S. Settivari and Nicole Kleinstreuer and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Journal of Internal Medicine.

In The Last Decade

Stanley T. Parish

15 papers receiving 479 citations

Author Peers

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

Author Last Decade Papers Cites
Stanley T. Parish 192 88 80 70 65 15 493
Sally J. Benn 103 0.5× 118 1.3× 31 0.4× 52 0.7× 33 0.5× 16 445
Sven Kronenberg 139 0.7× 162 1.8× 60 0.8× 26 0.4× 33 0.5× 23 424
Patricia E. Losco 62 0.3× 128 1.5× 23 0.3× 36 0.5× 30 0.5× 22 420
Torbjörn Stålhandske 153 0.8× 165 1.9× 33 0.4× 37 0.5× 5 0.1× 24 508
Carl G. Beling 101 0.5× 133 1.5× 55 0.7× 32 0.5× 12 0.2× 22 526
Vanessa Casas 61 0.3× 193 2.2× 39 0.5× 12 0.2× 19 0.3× 16 428
M Padarathsingh 183 1.0× 152 1.7× 107 1.3× 47 0.7× 74 1.1× 20 490
Ja-Seok Koo 95 0.5× 201 2.3× 56 0.7× 11 0.2× 17 0.3× 10 520
B F Trump 78 0.4× 167 1.9× 42 0.5× 6 0.1× 53 0.8× 15 509
Marian Mayhue 233 1.2× 128 1.5× 91 1.1× 13 0.2× 6 0.1× 22 543

Countries citing papers authored by Stanley T. Parish

Since Specialization
Citations

This map shows the geographic impact of Stanley T. Parish'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 Stanley T. Parish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley T. Parish more than expected).

Fields of papers citing papers by Stanley T. Parish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanley T. Parish. 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 Stanley T. Parish. The network helps show where Stanley T. Parish may publish in the future.

Co-authorship network of co-authors of Stanley T. Parish

This figure shows the co-authorship network connecting the top 25 collaborators of Stanley T. Parish. A scholar is included among the top collaborators of Stanley T. Parish 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 Stanley T. Parish. Stanley T. Parish 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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