Wei Fu

1.2k citations
38 papers · 847 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Advanced biosensing and bioanalysis techniques 3
    • Nicotinic Acetylcholine Receptors Study 3
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3

Wei Fu

35 papers receiving 838 citations

Peers

Wei Fu
Comparison fields: 5 of 105
  • Biochemistry 134
  • Cancer Research 135
  • Reproductive Medicine 52
  • Molecular Biology 408
  • Immunology 104
Replace Ying Xiong with:
Ying Xiong China
Margareta Berggren United States
Anneke C. Blackburn Australia
Naresh Babu V. Sepuri India
Seung-Rock Lee South Korea
Bo-Hyun Choi South Korea
Valentina Bosello Travain Italy
Yukie Kawatani Japan
Justin R. Prigge United States
Wei Fu relative to Ying Xiong China Ying Xiong's profile →
Citations per field
00.5×1.5×2.5×
Ying Xiong · 1×
Citations per year

Countries citing papers authored by Wei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012141
2 2013139
3 201579
4 201950
5 201946
6 202037
7 202137
8 202334
9 202034
10 202127
11 201726
12 201626
13 202020
14 202115
15 201813
16 201513
17 202011
18 201810
19 20099
20 20219

About Wei Fu

Wei Fu is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Reproductive Medicine and Materials Chemistry, having authored 38 papers that have together received 847 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Receptor Mechanisms and Signaling (4 papers), Ovarian function and disorders (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Water Resources and Sustainability (2 papers). The work is most often cited by research in Biochemistry (134 citations), Cancer Research (135 citations), Reproductive Medicine (52 citations), Molecular Biology (408 citations) and Immunology (104 citations). Wei Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sebastian Y. Bednarek, Bojun Ma, Jianzhong Liu, Xu Yan, Chao Wang, Qian Chen, Chuanyou Li, Jianwei Pan, Min Yu and Ming-Jie Wang. Their work appears in journals such as Water Policy, Frontiers in Pharmacology, Journal of Enzyme Inhibition and Medicinal Chemistry, Scientific Reports and Autophagy.

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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