Boting Wu

1.1k citations
48 papers · 798 · h-index 15

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology

Papers in

Boting Wu

46 papers receiving 790 citations

Peers

Boting Wu
Comparison fields: 5 of 72
  • Hematology 135
  • Hepatology 76
  • Cancer Research 93
  • Cardiology and Cardiovascular Medicine 127
  • Pulmonary and Respiratory Medicine 174
Replace Nancy M. Kinchla with:
Nancy M. Kinchla United States
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Lise Larsen Denmark
Yun–Jie Gao China
Yoshinori Aono Japan
Peter Jindra United States
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Citations per field
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Citations per year

Countries citing papers authored by Boting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Boting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010227
2 201250
3 201743
4 202042
5 201639
6 201439
7 202332
8 201831
9 201827
10 201925
11 201920
12 201520
13 202319
14 202116
15 201915
16 201214
17 202112
18 202312
19 201912
20 20209

About Boting Wu

Boting Wu is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Immunology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 48 papers that have together received 798 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (13 papers), Aortic Disease and Treatment Approaches (9 papers), Cardiac Valve Diseases and Treatments (5 papers), Immune Cell Function and Interaction (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers), Blood groups and transfusion (2 papers) and Coronary Interventions and Diagnostics (2 papers). The work is most often cited by research in Hematology (135 citations), Hepatology (76 citations), Cancer Research (93 citations), Cardiology and Cardiovascular Medicine (127 citations) and Pulmonary and Respiratory Medicine (174 citations). Boting Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongshi Wang, Xianhong Shu, Yunfeng Cheng, Yanxia Zhan, Lili Ji, Yang Xu, Yuan Ji, Xin‐Rong Yang, Guo‐Ming Shi and Shuang–Jian Qiu. Their work appears in journals such as Blood, Thrombosis Research, Transfusion Medicine, European Journal of Cardio-Thoracic Surgery and Annals of Translational Medicine.

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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