C Wei

696 citations
15 papers · 609 · h-index 8

Impact in

Papers in

C Wei

13 papers receiving 593 citations

Peers

C Wei
Comparison fields: 5 of 89
  • Cardiology and Cardiovascular Medicine 271
  • Cellular and Molecular Neuroscience 210
  • Geriatrics and Gerontology 30
  • Endocrinology, Diabetes and Metabolism 88
  • Molecular Biology 286
Replace David Mondaca‐Ruff with:
David Mondaca‐Ruff Chile
Oliver Chung United States
Alexander Stäblein Germany
Lindsay Queen United Kingdom
Kenro Imaeda Japan
Heying Zhou Japan
Ágota Vér Hungary
Verena Benz Germany
Karina Thieme Brazil
James Simpkin United Kingdom
C Wei relative to David Mondaca‐Ruff Chile David Mondaca‐Ruff's profile →
Citations per field
00.5×5.8×
David Mondaca‐Ruff · 1×
Citations per year

Countries citing papers authored by C Wei

Since Specialization
Citations

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

Fields of papers citing papers by C Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1992213
2 1995202
3 2004100
4 199232
5 199626
6 199414
7 19998
8 20067
9 20062
10 20002
11 20231
12 20001
13 20241
14 20240
15 20000

About C Wei

C Wei is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Surgery and Pathology and Forensic Medicine, having authored 15 papers that have together received 609 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (2 papers), Geomechanics and Mining Engineering (1 paper), Signaling Pathways in Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Oral and gingival health research (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Neuropeptides and Animal Physiology (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (271 citations), Cellular and Molecular Neuroscience (210 citations), Geriatrics and Gerontology (30 citations), Endocrinology, Diabetes and Metabolism (88 citations) and Molecular Biology (286 citations). C Wei has collaborated with scholars based in United States and China. Frequent co-authors include John C. Burnett, Denise M. Heublein, Alfredo L. Clavell, A. J. Stingo, Mark R. Pittelkow, L L Aarhus, Michihisa Jougasaki, Aibing Wang, De‐Pei Liu and Cai‐Rong Zhang. Their work appears in journals such as Microscopy and Microanalysis, American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Transplantation and Free Radical Biology 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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