Hui‐Fu Wang

842 total citations
17 papers, 609 citations indexed

About

Hui‐Fu Wang is a scholar working on Physiology, Psychiatry and Mental health and Epidemiology. According to data from OpenAlex, Hui‐Fu Wang has authored 17 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Psychiatry and Mental health and 6 papers in Epidemiology. Recurrent topics in Hui‐Fu Wang's work include Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (8 papers) and Liver Disease Diagnosis and Treatment (3 papers). Hui‐Fu Wang is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (8 papers) and Liver Disease Diagnosis and Treatment (3 papers). Hui‐Fu Wang collaborates with scholars based in China, United States and United Kingdom. Hui‐Fu Wang's co-authors include Jin‐Tai Yu, Lan Tan, Teng Jiang, Lei Cao, Meng‐Shan Tan, Yingdong Zhang, Li Gao, Jian‐Quan Shi, Qiang Dong and Xiaoying Ma and has published in prestigious journals such as Journal of Neurochemistry, British Journal of Pharmacology and Movement Disorders.

In The Last Decade

Hui‐Fu Wang

15 papers receiving 593 citations

Peers

Hui‐Fu Wang
Comparison fields: 5 of 73
  • Physiology 260
  • Molecular Biology 209
  • Neurology 128
  • Psychiatry and Mental health 126
  • Epidemiology 109
Replace Ding‐Yuan Tian with:
Ding‐Yuan Tian China
Alessandro Landolfi Italy
Ian D. Daugs United States
Emily B. Button Canada
Jamaica R. Rettberg United States
Giada Mascio Italy
Jonathon L. McClain United States
Jan M. Schilling United States
Aida Maddahi Sweden
Yuek Ling Chai Singapore
Ding‐Yuan Tian China View profile →
Citations per field, relative to Hui‐Fu Wang
Hui‐Fu Wang · 1×
Citations per year, relative to Hui‐Fu Wang
Hui‐Fu Wang · 1×

Countries citing papers authored by Hui‐Fu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Fu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui‐Fu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Fu Wang. A scholar is included among the top collaborators of Hui‐Fu Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui‐Fu Wang. Hui‐Fu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 0
3 9
4 3
5 25
6 12
7 0
8 15
9 9
10 11
11 43
12 22
13 5
14 43
15 213
16 78
17 120

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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2026