Runhui Wu

2.1k citations
162 papers · 1.4k · h-index 16

Impact in

  • Hematology top 1%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Blood Coagulation and Thrombosis Mechanisms
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Blood disorders and treatments

Papers in

    • Hemophilia Treatment and Research 79
    • Platelet Disorders and Treatments 62
    • Blood groups and transfusion 32
    • Hematopoietic Stem Cell Transplantation 10
    • Blood disorders and treatments 10
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 7
    • Chronic Lymphocytic Leukemia Research 7

Runhui Wu

145 papers receiving 1.4k citations

Peers

Runhui Wu
Comparison fields: 5 of 81
  • Hematology 1.2k
  • Genetics 110
  • Nephrology 40
  • Immunology 92
  • Pathology and Forensic Medicine 53
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Runhui Wu relative to Galina Novichkova Russia Galina Novichkova's profile →
Citations per field
00.5×10×20×34.5×
Galina Novichkova · 1×
Citations per year

Countries citing papers authored by Runhui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Runhui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011126
2 201091
3 202389
4 201762
5 201256
6 201846
7 202032
8 200931
9 202429
10 202224
11 201723
12 201921
13 201420
14 201818
15 201718
16 201718
17 201916
18 201216
19 201715
20 201614

About Runhui Wu

Runhui Wu is a scholar working on Hematology, Genetics, Immunology, Genetics and Nephrology, having authored 162 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (79 papers), Platelet Disorders and Treatments (62 papers), Blood groups and transfusion (32 papers), Immunodeficiency and Autoimmune Disorders (13 papers), Blood disorders and treatments (10 papers), Hematopoietic Stem Cell Transplantation (10 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers) and Chronic Lymphocytic Leukemia Research (7 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (110 citations), Nephrology (40 citations), Immunology (92 citations) and Pathology and Forensic Medicine (53 citations). Runhui Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhenping Chen, K. H. Luke, Jing Sun, Man‐Chiu Poon, Hao Gu, Xiaoling Cheng, Xinyi Wu, Gang Li, Yan Su and Hugo Donato. Their work appears in journals such as Haemophilia, British Journal of Haematology, Research and Practice in Thrombosis and Haemostasis, Thrombosis Research and Pediatric Blood & Cancer.

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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