Pei-Ran Wang

17 total papers · 938 total citations
13 papers, 744 citations indexed

About

Pei-Ran Wang is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Pei-Ran Wang has authored 13 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Pei-Ran Wang's work include Peroxisome Proliferator-Activated Receptors (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Receptor Mechanisms and Signaling (4 papers). Pei-Ran Wang is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Receptor Mechanisms and Signaling (4 papers). Pei-Ran Wang collaborates with scholars based in United States, Taiwan and Netherlands. Pei-Ran Wang's co-authors include Samuel D. Wright, Yu‐Sheng Chao, Charlotte Burton, Melba Hernandez, Anne Hermanowski‐Vosatka, Steven S. Mundt, Patricia A. Detmers, Carl P. Sparrow, Larry Peterson and Ray Rosa and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Pei-Ran Wang

13 papers receiving 706 citations

Author Peers

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

Author						Papers	Cites
Pei-Ran Wang	271	256	129	115	101	13	744
J. Oiknine	179 0.7×	218 0.9×	132 1.0×	130 1.1×	96 1.0×	12	737
Wendy S. Rosebury	497 1.8×	266 1.0×	87 0.7×	129 1.1×	97 1.0×	15	839
Tetsuya Kitamine	442 1.6×	355 1.4×	140 1.1×	110 1.0×	118 1.2×	14	790
Akira Mima	311 1.1×	116 0.5×	151 1.2×	105 0.9×	97 1.0×	19	900
Hui Sang	293 1.1×	236 0.9×	83 0.6×	130 1.1×	158 1.6×	26	827
Marisa Viñals	332 1.2×	398 1.6×	175 1.4×	99 0.9×	81 0.8×	13	872
Fanny Robbesyn	292 1.1×	178 0.7×	62 0.5×	175 1.5×	64 0.6×	15	707
Daoguang Yan	456 1.7×	251 1.0×	146 1.1×	96 0.8×	127 1.3×	13	896
Alejandra Gutierrez	418 1.5×	272 1.1×	56 0.4×	121 1.1×	132 1.3×	12	749
Caroline C. van der Hoogt	211 0.8×	361 1.4×	269 2.1×	100 0.9×	118 1.2×	14	702

Countries citing papers authored by Pei-Ran Wang

Since Specialization

Citations

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

Fields of papers citing papers by Pei-Ran Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Ran Wang. 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 Pei-Ran Wang. The network helps show where Pei-Ran Wang may publish in the future.

Co-authorship network of co-authors of Pei-Ran Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Ran Wang. A scholar is included among the top collaborators of Pei-Ran Wang 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 Pei-Ran Wang. Pei-Ran Wang 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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