Ming‐Fan Wu

550 citations
7 papers · 448 · h-index 6

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 1
    • Trigeminal Neuralgia and Treatments 1
    • Spine and Intervertebral Disc Pathology 1

Ming‐Fan Wu

7 papers receiving 443 citations

Peers

Ming‐Fan Wu
Comparison fields: 5 of 40
  • Immunology 418
  • Oncology 81
  • Hematology 30
  • Virology 3
  • Behavioral Neuroscience 2
Replace Frances Gays with:
Frances Gays United Kingdom
Andrea Brinkmann Germany
Meixin Shen Singapore
Everardo Hegewisch-Solloa United States
Filip Ahlmanner Sweden
Cordelia Dunai United States
Mark Wong United States
María Liz Paciello Spain
Natasja Nielsen Viller United States
Benjamin Carpenter South Sudan
Ming‐Fan Wu relative to Frances Gays United Kingdom Frances Gays's profile →
Citations per field
00.5×
Frances Gays · 1×
Citations per year

Countries citing papers authored by Ming‐Fan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Fan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ming‐Fan 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 Ming‐Fan Wu Line = papers co-authored together Ming‐Fan Wu links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1997191
2 1996136
3 199780
4 199521
5 19909
6 20127
7 20234

About Ming‐Fan Wu

Ming‐Fan Wu is a scholar working on Immunology, Pathology and Forensic Medicine, Aquatic Science, Rheumatology and Hematology, having authored 7 papers that have together received 448 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Spondyloarthritis Studies and Treatments (1 paper), Trigeminal Neuralgia and Treatments (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Echinoderm biology and ecology (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (418 citations), Oncology (81 citations), Hematology (30 citations), Virology (3 citations) and Behavioral Neuroscience (2 citations). Ming‐Fan Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include David H. Raulet, Jeffrey R. Dorfman, Werner Held, Laura G. Corral, Isabel Corrêa, Matthew M. Winkler, James K. Skipper, Leslie C. Kelso‐Winemiller, Quan Zheng and Chuanfu Huang. Their work appears in journals such as Human Cell, Developmental Biology, Seminars in Immunology, The Journal of Immunology and Journal of neurosurgery.

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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