Peiying Yu

1.6k citations
42 papers · 1.1k · h-index 20

Impact in

Papers in

Peiying Yu

40 papers receiving 1.1k citations

Peers

Peiying Yu
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 326
  • Cardiology and Cardiovascular Medicine 324
  • Nephrology 78
  • Biochemistry 73
  • Molecular Biology 685
Replace Ching-Jiunn Tseng with:
Ching-Jiunn Tseng Taiwan
Annalisa Cardile Italy
Ilka Mathar Germany
Gergő Szanda Hungary
Monique C. Saleh Canada
R D Buñag United States
Chin‐Chen Wu Taiwan
Dachun Yang China
Yang‐Hyeok Jo South Korea
Dana M. Niedowicz United States
Peiying Yu relative to Ching-Jiunn Tseng Taiwan Ching-Jiunn Tseng's profile →
Citations per field
00.5×3.9×
Ching-Jiunn Tseng · 1×
Citations per year

Countries citing papers authored by Peiying Yu

Since Specialization
Citations

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

Fields of papers citing papers by Peiying Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peiying Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peiying Yu Line = papers co-authored together Peiying Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999124
2 200592
3 200688
4 200871
5 200466
6 200957
7 201454
8 200352
9 201248
10 200042
11 201442
12 200935
13 200935
14 200434
15 200630
16 201327
17 199226
18 201424
19 201323
20 199521

About Peiying Yu

Peiying Yu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (14 papers), Ion Transport and Channel Regulation (13 papers), Hormonal Regulation and Hypertension (11 papers), Receptor Mechanisms and Signaling (9 papers), Ion channel regulation and function (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Renin-Angiotensin System Studies (3 papers) and Caveolin-1 and cellular processes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (326 citations), Cardiology and Cardiovascular Medicine (324 citations), Nephrology (78 citations), Biochemistry (73 citations) and Molecular Biology (685 citations). Peiying Yu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Pedro A. José, Robin A. Felder, Van Anthony M. Villar, Laureano D. Asico, John E. Jones, Zhiwei Yang, Chunyu Zeng, Mark T. Quinn, Gilbert M. Eisner and Inés Armando. Their work appears in journals such as Hypertension, Hypertension Research, The FASEB Journal, Free Radical Biology and Medicine and Medicine.

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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