Dong Wu

6.0k citations
147 papers · 2.2k indexed · 2 hit papers · h-index 22

Impact in

Papers in

    • Gastrointestinal motility and disorders 6
    • Pancreatic and Hepatic Oncology Research 31
    • Colorectal Cancer Screening and Detection 10

Dong Wu

131 papers receiving 2.2k citations

Hit Papers

A machine-learning-derived online prediction model for depression risk in COPD patients: A retrospective cohort study from CHARLS 2025 · 17 citations
172020202620222024200400600

Peers

Dong Wu
Comparison fields: 5 of 162
  • Infectious Diseases 695
  • Gastroenterology 134
  • Neurology 367
  • Oncology 586
  • Surgery 561
Replace Nelli Farkas with:
Nelli Farkas Hungary
Lei Tu China
Abhilash Perisetti United States
Xun Niu China
Vishal Sharma India
Min Seo Kim South Korea
Jun Young Lee South Korea
Duc T. Nguyen United States
Shibo Li China
Mi‐Na Kim South Korea
Dong Wu relative to Nelli Farkas Hungary Nelli Farkas's profile →
Citations per field
00.5×3.3×
Nelli Farkas · 1×
Citations per year

Countries citing papers authored by Dong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20246
4 20247
5 20241
6 20240
7 20240
8 20241
9 20234
10 20235
11 20230
12 20232
13 202310
14 20224
15 202047
16 20205
17 201915
18 20162
19 20151
20 20148

About Dong Wu

Dong Wu is a scholar working on Gastroenterology, Oncology, Surgery, Applied Microbiology and Biotechnology and Family Practice, having authored 147 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (42 papers), Pancreatic and Hepatic Oncology Research (31 papers), Gut microbiota and health (11 papers), Colorectal Cancer Screening and Detection (10 papers), Inflammatory Bowel Disease (8 papers), Gastric Cancer Management and Outcomes (7 papers), Genetic factors in colorectal cancer (6 papers) and Gastrointestinal motility and disorders (6 papers). The work is most often cited by research in Infectious Diseases (695 citations), Gastroenterology (134 citations), Neurology (367 citations), Oncology (586 citations) and Surgery (561 citations). Dong Wu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Tuantuan Li, Xiaowu Wang, Mingfeng Han, Yuanhong Xu, Yan Liu, Yong Gao, Xiuyong Li, Linding Wang, Jiaming Qian and Kai Song. Their work appears in journals such as BMJ Open, International Journal of Molecular Sciences, Biomedicines, Digestive Diseases and Sciences and Pancreatology.

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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