Fang Wu

39 papers receiving 857 citations

Peers

Fang Wu
Comparison fields: 5 of 102
  • Pulmonary and Respiratory Medicine 207
  • Genetics 174
  • Complementary and alternative medicine 41
  • Rehabilitation 26
  • Parasitology 26
Replace Hamza Aziz with:
Hamza Aziz United States
Xiangyu Chen China
Xiuli Zhang China
Sidharth Sonthalia India
Bertha Torres‐Álvarez Mexico
Zygmunt Adamski Poland
Xiaoqi Wang China
Clinton B. Mathias United States
Shu Wan China
Connor Rosen United States
Fang Wu relative to Hamza Aziz United States Hamza Aziz's profile →
Citations per field
00.5×8.7×
Hamza Aziz · 1×
Citations per year

Countries citing papers authored by Fang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fang 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 Fang Wu Line = papers co-authored together Fang Wu 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 1997106
2 201289
3 199787
4 201868
5 201862
6 201843
7 200840
8 202335
9 202133
10 201631
11 202427
12 201826
13 202122
14 200021
15 201719
16 201917
17 202016
18 202115
19 201913
20
Clinical significance of pain in patients with chronic heart failure.
201212

About Fang Wu

Fang Wu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Neurology and Cardiology and Cardiovascular Medicine, having authored 42 papers that have together received 878 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (10 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Acute Ischemic Stroke Management (3 papers), Ion channel regulation and function (3 papers), Venomous Animal Envenomation and Studies (3 papers), Healthcare Policy and Management (2 papers), Cardiac Valve Diseases and Treatments (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (207 citations), Genetics (174 citations), Complementary and alternative medicine (41 citations), Rehabilitation (26 citations) and Parasitology (26 citations). Fang Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Pierre Escoubas, Qi Yang, Régine Romi‐Lebrun, Terumi Nakajima, Bruno Lebrun, Miki Hisada, Marie‐France Martin‐Eauclaire, Zhaoyang Fan, Debiao Li and Qian Tan. Their work appears in journals such as Journal of the American Heart Association, European Radiology, International Journal of Environmental Research and Public Health, Journal of Magnetic Resonance Imaging and Frontiers in Oncology.

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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