Yih‐Jer Wu

1.9k citations
87 papers · 1.4k · h-index 21

Impact in

Papers in

Yih‐Jer Wu

85 papers receiving 1.4k citations

Peers

Yih‐Jer Wu
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 367
  • Complementary and alternative medicine 96
  • Molecular Biology 505
  • Cancer Research 92
  • Immunology and Allergy 36
Replace Domenica Rea with:
Domenica Rea Italy
Kaizheng Gong China
Ashim Kumar Bagchi Canada
Lu Gao China
Long Wang China
Masahito Ogawa Japan
Meilei Ma Japan
Robert J. Leadley United States
Xingxiang Wang China
Xiaoping Ji China
Yih‐Jer Wu relative to Domenica Rea Italy Domenica Rea's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yih‐Jer Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yih‐Jer Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yih‐Jer Wu. 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 Yih‐Jer Wu. The network helps show where Yih‐Jer Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998143
2 201088
3 202281
4 200668
5 201164
6 201158
7 200358
8 200854
9 201352
10 201248
11 201847
12 201936
13 201735
14 201329
15 201627
16 201226
17 201425
18 201225
19 201225
20 200823

About Yih‐Jer Wu

Yih‐Jer Wu is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Molecular Biology, Complementary and alternative medicine and Surgery, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (11 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiovascular Health and Disease Prevention (8 papers), Blood Pressure and Hypertension Studies (6 papers), Pulmonary Hypertension Research and Treatments (5 papers), Connexins and lens biology (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (367 citations), Complementary and alternative medicine (96 citations), Molecular Biology (505 citations), Cancer Research (92 citations) and Immunology and Allergy (36 citations). Yih‐Jer Wu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Hung‐I Yeh, Andrew C. Newby, Mark Bond, Graciela B. Sala‐Newby, Chung‐Lieh Hung, Cheng‐Huang Su, Ming‐Shi Shiao, Hsueh-Hsiao Wang, Charles Jia‐Yin Hou and Shing‐Jong Lin. Their work appears in journals such as Scientific Reports, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Cellular and Molecular Medicine, The American Journal of the Medical Sciences and Ultrasound in Medicine & Biology.

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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