Bin Wu

2.1k citations
98 papers · 1.2k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Screening and Detection

Papers in

    • Colorectal Cancer Surgical Treatments 34
    • Colorectal Cancer Screening and Detection 10
    • Colorectal and Anal Carcinomas 19
    • Diverticular Disease and Complications 6

Bin Wu

86 papers receiving 1.2k citations

Peers

Bin Wu
Comparison fields: 5 of 121
  • Cancer Research 322
  • Oncology 419
  • Surgery 309
  • Pathology and Forensic Medicine 114
  • Molecular Biology 433
Replace Punita Lal with:
Punita Lal India
Nikolaos V. Michalopoulos Greece
Xiaodong Yang China
Michaël Noë United States
Mikiko Nakamura Japan
Heather Wachtel United States
Judith Stift Austria
Vassiliki L. Tsikitis United States
F. Brunello Italy
Bin Wu relative to Punita Lal India Punita Lal's profile →
Citations per field
00.5×3.1×
Punita Lal · 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 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019152
2 201699
3 202096
4 201061
5 201958
6 201146
7 201541
8 201340
9 201638
10 200937
11 201834
12 202228
13 202227
14 201224
15 202024
16 202223
17 201322
18 201718
19 202117
20 201816

About Bin Wu

Bin Wu is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (34 papers), Colorectal and Anal Carcinomas (19 papers), Colorectal Cancer Screening and Detection (10 papers), Ferroptosis and cancer prognosis (9 papers), Genetic factors in colorectal cancer (7 papers), RNA modifications and cancer (7 papers), Inflammatory Bowel Disease (7 papers) and Diverticular Disease and Complications (6 papers). The work is most often cited by research in Cancer Research (322 citations), Oncology (419 citations), Surgery (309 citations), Pathology and Forensic Medicine (114 citations) and Molecular Biology (433 citations). Bin Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huizhong Qiu, Yi Xiao, Lai Xu, Yanyu Chen, Wei Ge, Jiaolin Zhou, Junyang Lu, Guole Lin, Yue Li and Min‐Er Zhong. Their work appears in journals such as Annals of Translational Medicine, International Journal of Colorectal Disease, World Journal of Gastroenterology, EBioMedicine and International Immunopharmacology.

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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