Bing Wu

1.5k citations
58 papers · 1.2k · h-index 15

Impact in

  • Urology top 5%
    • Urinary Bladder and Prostate Research
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Bing Wu

54 papers receiving 1.1k citations

Peers

Bing Wu
Comparison fields: 5 of 98
  • Urology 113
  • Hepatology 117
  • Behavioral Neuroscience 27
  • Cancer Research 101
  • Infectious Diseases 124
Replace F. vom Dorp with:
F. vom Dorp Germany
Yutaka Hattori Japan
Adam G. Schrum United States
Simon Jones United Kingdom
Clemens K. Probst United States
Todd A. Swanson United States
Stuart T. Fraser Australia
Charles R. Ill United States
Ilan Hammel Israel
Susan R. Opalenik United States
Bing Wu relative to F. vom Dorp Germany F. vom Dorp's profile →
Citations per field
00.5×5.1×
F. vom Dorp · 1×
Citations per year

Countries citing papers authored by Bing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019164
2 2003130
3 2008127
4 2008122
5 2012115
6 200466
7 200856
8 201825
9 201924
10 200922
11 201922
12 201718
13 201718
14 202116
15 202214
16 201914
17 202114
18 201714
19 202413
20 201912

About Bing Wu

Bing Wu is a scholar working on Surgery, Cognitive Neuroscience, Epidemiology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Dermatology and Skin Diseases (5 papers), Spine and Intervertebral Disc Pathology (5 papers), Pain Mechanisms and Treatments (4 papers), Medical Imaging Techniques and Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Urology (113 citations), Hepatology (117 citations), Behavioral Neuroscience (27 citations), Cancer Research (101 citations) and Infectious Diseases (124 citations). Bing Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shuang–Jian Qiu, Xin‐Rong Yang, Jia Fan, Yang Xu, Guo‐Ming Shi, Guo‐Huan Yang, Samuel Chacko, Hongwei Wu, Liangliang Zhu and Yanli Zhao. Their work appears in journals such as Behavioural Brain Research, Neuroscience Bulletin, Lara D. Veeken, Cerebral Cortex and European Journal of Nuclear Medicine and Molecular Imaging.

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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