Ke‐Fu Wu

747 citations
45 papers · 575 · h-index 16

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
    • Antimicrobial Peptides and Activities

Papers in

    • RNA Interference and Gene Delivery 7
    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 8
    • Immune Response and Inflammation 7
    • Immune cells in cancer 3

Ke‐Fu Wu

44 papers receiving 569 citations

Peers

Ke‐Fu Wu
Comparison fields: 5 of 94
  • Physiology 166
  • Microbiology 83
  • Immunology 184
  • Speech and Hearing 49
  • Endocrine and Autonomic Systems 24
Replace Thierry Juhel with:
Thierry Juhel France
Djordje Grbic Canada
Calum Thomson United Kingdom
Andrea J. Richardson Australia
Teizo Ito Japan
Fumie Hayashi Japan
Tecla Dudez Switzerland
Ankur Singh India
Inês Cabrita Germany
Youko Suehiro Japan
Ke‐Fu Wu relative to Thierry Juhel France Thierry Juhel's profile →
Citations per field
00.5×8.3×
Thierry Juhel · 1×
Citations per year

Countries citing papers authored by Ke‐Fu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ke‐Fu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200481
2 200950
3 202034
4 200429
5 202226
6 201026
7 200525
8 200625
9 199423
10 200521
11 199818
12 200416
13 201216
14
Effects of various inducers on the expression of P2X7 receptor in human peripheral blood mononuclear cells.
200516
15 199915
16 201315
17 198512
18 200811
19 200011
20 200111

About Ke‐Fu Wu

Ke‐Fu Wu is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Microbiology, having authored 45 papers that have together received 575 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (8 papers), RNA Interference and Gene Delivery (7 papers), Immune Response and Inflammation (7 papers), Adenosine and Purinergic Signaling (5 papers), Antimicrobial Peptides and Activities (4 papers), Immune cells in cancer (3 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers). The work is most often cited by research in Physiology (166 citations), Microbiology (83 citations), Immunology (184 citations), Speech and Hearing (49 citations) and Endocrine and Autonomic Systems (24 citations). Ke‐Fu Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guoguang Zheng, Xiaotong Ma, Qing Rao, Yong‐Min Lin, Yuhua Song, Xiujun Zhang, Ge Li, Kun Nie, Lili An and Shiyong Liu. Their work appears in journals such as Leukemia Research, Remote Sensing, Cancer Research, Experimental Biology and Medicine and Journal of Neuroinflammation.

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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