Bin Wu

3.9k citations
176 papers · 2.8k · h-index 30

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Lung Cancer Treatments and Mutations
    • Prostate Cancer Diagnosis and Treatment
    • Renal cell carcinoma treatment
    • Prostate Cancer Treatment and Research

Papers in

Bin Wu

167 papers receiving 2.8k citations

Peers

Bin Wu
Comparison fields: 5 of 125
  • Hepatology 192
  • Pulmonary and Respiratory Medicine 665
  • Oncology 511
  • Internal Medicine 42
  • Cancer Research 145
Replace Christoph A. Reichel with:
Christoph A. Reichel Germany
Yuichi Ozeki Japan
Constantin A Dasanu United States
Paolo Dionigi Italy
B Damascelli Italy
Gening Jiang China
Chris J. Scotton United Kingdom
John R. Daniels United States
Peng Xu China
Michel Wassef France
Bin Wu relative to Christoph A. Reichel Germany Christoph A. Reichel's profile →
Citations per field
00.5×1.5×2.5×
Christoph A. Reichel · 1×
Citations per year

Countries citing papers authored by Bin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021141
2 2009133
3 2018104
4 201288
5 201381
6 202268
7 201965
8 201865
9 201860
10 201759
11 201854
12 201854
13 201052
14 201852
15 201151
16 201848
17 201647
18 202046
19 202145
20 202343

About Bin Wu

Bin Wu is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Epidemiology and Hepatology, having authored 176 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (11 papers), Hepatitis B Virus Studies (9 papers), Renal cell carcinoma treatment (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Hepatitis C virus research (7 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Hepatology (192 citations), Pulmonary and Respiratory Medicine (665 citations), Oncology (511 citations), Internal Medicine (42 citations) and Cancer Research (145 citations). Bin Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiang Zhang, Zhenlei Zha, Hu Zhao, Lizheng Shi, Huafeng Chen, Jun Yuan, Jie Sun, Ming Ye, Lijin Zhang and Shun Lü. Their work appears in journals such as Frontiers in Pharmacology, PLoS ONE, Frontiers in Oncology, Medicine and Value in Health.

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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