Xiaoyun Fu

6.1k citations
141 papers · 4.5k indexed · h-index 36

Impact in

  • Immunology top 2%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Atherosclerosis and Cardiovascular Diseases
    • Complement system in diseases

Papers in

    • Blood groups and transfusion 13
    • Platelet Disorders and Treatments 12
    • Blood transfusion and management 10

Xiaoyun Fu

128 papers receiving 4.5k citations

Peers

Xiaoyun Fu
Comparison fields: 5 of 145
  • Biochemistry 395
  • Immunology 1.3k
  • Hematology 627
  • Physiology 1.0k
  • Clinical Biochemistry 246
Replace Felix C. Tanner with:
Felix C. Tanner Switzerland
Olivier Meilhac France
Xiangdong Wang China
Jean‐Baptiste Michel France
Franco Dallegri Italy
Alison H. Goodall United Kingdom
Gerhard Krönke Germany
Lance S. Terada United States
Zhihua Chen China
Jan Holm Denmark
Xiaoyun Fu relative to Felix C. Tanner Switzerland Felix C. Tanner's profile →
Citations per field
00.5×
Felix C. Tanner · 1×
Citations per year

Countries citing papers authored by Xiaoyun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20250
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12 202311
13 20227
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15 202126
16 20216
17 201967
18 20171
19 201148
20 2009129

About Xiaoyun Fu

Xiaoyun Fu is a scholar working on Hematology, Biochemistry, Critical Care and Intensive Care Medicine, Immunology and Genetics, having authored 141 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (17 papers), Erythrocyte Function and Pathophysiology (14 papers), Complement system in diseases (13 papers), Hemoglobinopathies and Related Disorders (13 papers), Blood groups and transfusion (13 papers), Platelet Disorders and Treatments (12 papers), Nitric Oxide and Endothelin Effects (10 papers) and Blood transfusion and management (10 papers). The work is most often cited by research in Biochemistry (395 citations), Immunology (1.3k citations), Hematology (627 citations), Physiology (1.0k citations) and Clinical Biochemistry (246 citations). Xiaoyun Fu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jay W. Heinecke, William C. Parks, Sean Y. Kassim, Constanze Bergt, John F. Oram, Baohai Shao, Junmei Chen, José A. López, James C. Zimring and Dominic W. Chung. Their work appears in journals such as Blood, Journal of Biological Chemistry, Transfusion, Arteriosclerosis Thrombosis and Vascular Biology and Blood Advances.

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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