Wang Fen

1.0k citations
39 papers · 743 indexed · h-index 14

Wang Fen

35 papers receiving 731 citations

Peers

Wang Fen
Comparison fields: 5 of 110
  • Hepatology 109
  • Sensory Systems 47
  • Endocrine and Autonomic Systems 42
  • Pharmacology 37
  • Oncology 114
Replace Hennie Bikker with:
Hennie Bikker Netherlands
Natalia O. Glebova United States
Yumi Noda Japan
Marco M. Hefti United States
Norman Fleischer United States
Marina T. DiStefano United States
Fredrik Holmquist Sweden
Cheryl E. Gariepy United States
Arye Lev-Ran United States
Kai Wei China
Wang Fen relative to Hennie Bikker Netherlands Hennie Bikker's profile →
Citations per field
00.5×3.5×
Hennie Bikker · 1×
Citations per year

Countries citing papers authored by Wang Fen

Since Specialization
Citations

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

Fields of papers citing papers by Wang Fen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20225
5 20217
6 202116
7 20195
8 201810
9 201821
10
Research and exploitation of N6-(2-hydroxyethyl)-adenosine from Cordyceps s.l.: progress and problems.
20172
11 20170
12 201614
13
Research Progress of Regional Soil Water Resources Evaluation
20151
14 201522
15 201012
16
Clinical research of narrow-band UVB combined with prunus mume tincture in the treatment of vitiligo
20081
17
Application of New Regionalism in Urban Landscape Design
20071
18 2003136
19 2002107
20 200164

About Wang Fen

Wang Fen is a scholar working on Developmental Neuroscience, Sensory Systems and Transplantation, having authored 39 papers that have together received 743 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Anesthesia and Neurotoxicity Research (2 papers), Gastric Cancer Management and Outcomes (2 papers), Kruppel-like factors research (2 papers), Sleep and related disorders (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Hepatology (109 citations), Sensory Systems (47 citations) and Endocrine and Autonomic Systems (42 citations). Wang Fen has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Wallace L. McKeehan, Chundong Yu, Chengliu Jin, Mingyao Liu, Claudio Basilico, Xinqiang Huang, David L. Miller, Xiaochong Wu, Waikin Chan and Parvesh Kumar. Their work appears in journals such as American Journal Of Pathology, Parkinsonism & Related Disorders, Mycology: An International Journal on Fungal Biology, Behavioural Brain Research and BMC Anesthesiology.

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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