Boting Wu

1.1k citations
48 papers · 820 · h-index 15

Impact in

  • Hematology top 10%
    • 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 811 citations

Peers

Boting Wu
Comparison fields: 5 of 73
  • Hematology 138
  • Hepatology 84
  • Cancer Research 100
  • Cardiology and Cardiovascular Medicine 131
  • Pulmonary and Respiratory Medicine 177
Replace Nancy M. Kinchla with:
Nancy M. Kinchla United States
Christian Teschendorf Germany
Lise Larsen Denmark
Yun–Jie Gao China
Peter Jindra United States
Binder Br Austria
Bin Meng China
Julia E. Geddings 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 2010239
2 201251
3 201745
4 202044
5 201640
6 201440
7 202332
8 201832
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 820 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 (138 citations), Hepatology (84 citations), Cancer Research (100 citations), Cardiology and Cardiovascular Medicine (131 citations) and Pulmonary and Respiratory Medicine (177 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, Wei‐Zhong Wu, Xin‐Rong Yang, Bing Yu, Shuang–Jian Qiu, Guo‐Ming Shi and Jian Zhou. Their work appears in journals such as Blood, European Journal of Cardio-Thoracic Surgery, Transfusion Medicine, Thrombosis Research 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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