Francis Wang

3.5k citations
54 papers · 2.4k · h-index 29

Impact in

Papers in

Francis Wang

52 papers receiving 2.3k citations

Peers

Francis Wang
Comparison fields: 5 of 123
  • Cardiology and Cardiovascular Medicine 1.0k
  • Complementary and alternative medicine 305
  • Orthopedics and Sports Medicine 267
  • Cancer Research 239
  • Inorganic Chemistry 185
Replace Glenn A. Walter with:
Glenn A. Walter United States
Masahiro Murayama Japan
Ho‐Taek Song South Korea
Nobuaki Tanaka Japan
Eric Thiaudière France
Bogusław Tomanek Canada
Seiji Miyazaki Japan
Masao Mizuno Japan
Kazuhiko Murata Japan
J. C. Clark United Kingdom
Francis Wang relative to Glenn A. Walter United States Glenn A. Walter's profile →
Citations per field
00.5×4.9×
Glenn A. Walter · 1×
Citations per year

Countries citing papers authored by Francis Wang

Since Specialization
Citations

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

Fields of papers citing papers by Francis Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011346
2 2007247
3 1998188
4 2008101
5 201195
6 201084
7 201574
8 200973
9 201373
10 201172
11 200069
12 198763
13 200161
14 201058
15 201456
16 200254
17 199754
18 201549
19 201648
20 199345

About Francis Wang

Francis Wang is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Materials Chemistry, Spectroscopy and Electrical and Electronic Engineering, having authored 54 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiovascular Effects of Exercise (16 papers), Traumatic Brain Injury Research (11 papers), Cardiovascular Function and Risk Factors (9 papers), Advanced NMR Techniques and Applications (7 papers), Inorganic Fluorides and Related Compounds (7 papers), Cardiovascular and exercise physiology (6 papers), Solid-state spectroscopy and crystallography (5 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Complementary and alternative medicine (305 citations), Orthopedics and Sports Medicine (267 citations), Cancer Research (239 citations) and Inorganic Chemistry (185 citations). Francis Wang has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Clare P. Grey, Aaron L. Baggish, Rory B. Weiner, Adolph M. Hutter, Michael H. Picard, Malissa J. Wood, Young Joo Lee, Brant Berkstresser, Gregory D. Lewis and Thomas J. Wang. Their work appears in journals such as Journal of the American Chemical Society, Neurology, Medicine & Science in Sports & Exercise, The American Journal of Cardiology and Chemistry of Materials.

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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