Fen Wang

601 citations
19 papers · 485 indexed · h-index 12

Impact in

  • Cell Biology top 10%
    • Proteoglycans and glycosaminoglycans research
  • Pollution top 10%
    • Wastewater Treatment and Nitrogen Removal

Papers in

    • Proteoglycans and glycosaminoglycans research 3
    • Plant Pathogens and Fungal Diseases 2
    • Heavy metals in environment 2

Fen Wang

19 papers receiving 477 citations

Peers

Fen Wang
Comparison fields: 5 of 94
  • Cell Biology 111
  • Pollution 73
  • Molecular Biology 289
  • Cancer Research 40
  • Pharmacology 43
Replace K Yoshikawa with:
K Yoshikawa Japan
Changmin Chen United States
Nana Han China
Xiang Guo China
Qionghua Chen China
Dae-Ho Cho South Korea
Gaoyuan Liu China
Huangying Le China
Fen Wang relative to K Yoshikawa Japan K Yoshikawa's profile →
Citations per field
00.5×4.6×
K Yoshikawa · 1×
Citations per year

Countries citing papers authored by Fen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1993108
2 200581
3 202155
4 199239
5 199434
6 202024
7 199623
8 201823
9 201119
10 201619
11 202114
12 202011
13 201210
14 20238
15 20217
16 20233
17 20123
18 20243
19 20111

About Fen Wang

Fen Wang is a scholar working on Cell Biology, Pollution, Endocrinology, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 485 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Environmental Justice and Health Disparities (2 papers), RNA Research and Splicing (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Fungal Biology and Applications (2 papers) and Heavy metals in environment (2 papers). The work is most often cited by research in Cell Biology (111 citations), Pollution (73 citations), Molecular Biology (289 citations), Cancer Research (40 citations) and Pharmacology (43 citations). Fen Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wallace L. McKeehan, Jinzhao Hou, Mikio Kan, Jianming Xu, Ergang Shi, Chengliu Jin, Chundong Yu, Xinqiang Huang, Min Ji and Lingjie Liu. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Gene, In Vitro Cellular & Developmental Biology - Animal and Journal of Fungi.

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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