Bin Wu

3.1k citations
121 papers · 2.3k indexed · 1 hit paper · h-index 27

Bin Wu

118 papers receiving 2.3k citations

Hit Papers

A machine-learning-derived online prediction model for de...172025202651015

Peers

Bin Wu
Comparison fields: 5 of 152
  • Aging 59
  • Biological Psychiatry 63
  • Cancer Research 367
  • Geriatrics and Gerontology 72
  • Pharmacology 143
Replace George W. Booz with:
George W. Booz United States
Wei Hu China
Li Xiao China
Fan Fan United States
Eiji Warabi Japan
Kyu‐Sang Park South Korea
Shijin Xia China
Juan Feng China
Theodore J. Kalogeris United States
Bin Wu relative to George W. Booz United States George W. Booz's profile →
Citations per field
00.5×1.5×1.9×
George W. Booz · 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-authorship network

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
#Work
1 20245
2 20249
3 20241
4 20226
5
Functionalized Au@Cu-Sb-S Nanoparticles for Spectral CT/Photoacoustic Imaging-Guided Synergetic Photo-Radiotherapy in Breast Cancer
20229
6 20206
7 202028
8 20207
9 201924
10 20193
11 201912
12
Evaluation method of compressibility of shale gas reservoir in consideration of the influence of fracture toughness
20191
13 201818
14 201639
15 20140
16 201462
17 20124
18 200954
19 200840
20 20066

About Bin Wu

Bin Wu is a scholar working on Geriatrics and Gerontology, Aging, Anesthesiology and Pain Medicine, Pharmacology and Physiology, having authored 121 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (16 papers), Pain Mechanisms and Treatments (11 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Cancer-related molecular mechanisms research (8 papers), Asthma and respiratory diseases (8 papers), Ion channel regulation and function (7 papers), Pharmacological Effects of Natural Compounds (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Aging (59 citations), Biological Psychiatry (63 citations), Cancer Research (367 citations), Geriatrics and Gerontology (72 citations) and Pharmacology (143 citations). Bin Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dongming Li, Tianwen Lai, Xuanna Zhao, Zi-yin Shen, Jianhua Huang, Zhixiong Yang, Dong Wu, Lixia Li, Huiling Yang and Weiyi Fang. Their work appears in journals such as International Journal of COPD, Scientific Reports, Frontiers in Pharmacology, Bioorganic Chemistry and Cancer Letters.

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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