Fumin Fu

2.0k citations
28 papers · 1.5k · h-index 16

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Psoriasis: Treatment and Pathogenesis

Papers in

    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 4
    • Cardiovascular, Neuropeptides, and Oxidative Stress Research 2

Fumin Fu

27 papers receiving 1.5k citations

Peers

Fumin Fu
Comparison fields: 5 of 84
  • Transplantation 111
  • Immunology 828
  • Hematology 127
  • Endocrinology, Diabetes and Metabolism 141
  • Hepatology 57
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Fumin Fu relative to Bernard Silver United States Bernard Silver's profile →
Citations per field
00.5×5.7×
Bernard Silver · 1×
Citations per year

Countries citing papers authored by Fumin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Fumin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996332
2 1999264
3 1997184
4 1998103
5 1996101
6 1994101
7 199565
8 201447
9 201046
10 200244
11 199843
12 201336
13 199927
14 199827
15 201523
16 199918
17 202215
18 200214
19 201313
20 200811

About Fumin Fu

Fumin Fu is a scholar working on Immunology, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers), Hormonal Regulation and Hypertension (5 papers), Immune Cell Function and Interaction (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Liver physiology and pathology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Transplantation (111 citations), Immunology (828 citations), Hematology (127 citations), Endocrinology, Diabetes and Metabolism (141 citations) and Hepatology (57 citations). Fumin Fu has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Shiguang Qian, Angus W. Thomson, John J. Fung, Lina Lü, Frances Chambers, Wei Li, Youping Li, Thomas E. Starzl, William C. Fanslow and Mary A. Antonysamy. Their work appears in journals such as Transplantation, Journal of Pharmacology and Experimental Therapeutics, Journal of Translational Medicine, The Journal of Immunology and Journal of the American College of Cardiology.

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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