Chin‐Chuan Wei

2.2k citations
39 papers · 1.8k · h-index 20

Impact in

  • Physiology top 2%
    • Nitric Oxide and Endothelin Effects
    • Eicosanoids and Hypertension Pharmacology

Papers in

Chin‐Chuan Wei

39 papers receiving 1.8k citations

Peers

Chin‐Chuan Wei
Comparison fields: 5 of 112
  • Physiology 948
  • Biochemistry 223
  • Biophysics 176
  • Cell Biology 382
  • Inorganic Chemistry 323
Replace В. А. Сереженков with:
В. А. Сереженков Russia
Subrata Adak India
Ikuko Sagami Japan
Mohammad Mahfuzul Haque United States
Joan M. Hevel United States
Mirella Trinei Italy
Elsa D. Garcin United States
Tambra M. Dunams United States
Mauro Tiso United States
J. Guy Guillemette Canada
Chin‐Chuan Wei relative to В. А. Сереженков Russia В. А. Сереженков's profile →
Citations per field
00.5×2.9×
В. А. Сереженков · 1×
Citations per year

Countries citing papers authored by Chin‐Chuan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Chuan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Chuan Wei. 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 Chin‐Chuan Wei. The network helps show where Chin‐Chuan Wei may publish in the future.

Co-authors

The 25 scholars most cited alongside Chin‐Chuan Wei, 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 Chin‐Chuan Wei Line = papers co-authored together Chin‐Chuan Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004403
2 1997230
3 2003150
4 1998119
5 2001112
6 200390
7 200678
8 200864
9 200457
10 200546
11 200544
12 200343
13 201741
14 200135
15 200233
16 201932
17 200231
18 201520
19 200920
20 200519

About Chin‐Chuan Wei

Chin‐Chuan Wei is a scholar working on Physiology, Cell Biology, Inorganic Chemistry, Molecular Biology and Organic Chemistry, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (23 papers), Hemoglobin structure and function (12 papers), Metal-Catalyzed Oxygenation Mechanisms (10 papers), Electron Spin Resonance Studies (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Adsorption and biosorption for pollutant removal (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Physiology (948 citations), Biochemistry (223 citations), Biophysics (176 citations), Cell Biology (382 citations) and Inorganic Chemistry (323 citations). Chin‐Chuan Wei has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Dennis J. Stuehr, Zhiqiang Wang, Jérôme Santolini, Subrata Adak, Brian R. Crane, Russ Hille, Craig Hemann, Dixie J. Goss, Jianhua Ren and Karen Browning. Their work appears in journals such as Journal of Biological Chemistry, Journal of Inorganic Biochemistry, Biochemistry, Biophysical Chemistry and Acta Biomaterialia.

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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