Ming Wu

6.5k citations
157 papers · 3.2k · h-index 28

Impact in

Papers in

Ming Wu

151 papers receiving 3.1k citations

Peers

Ming Wu
Comparison fields: 5 of 153
  • Transportation 157
  • Safety, Risk, Reliability and Quality 213
  • Cancer Research 273
  • Hepatology 103
  • Endocrinology, Diabetes and Metabolism 219
Replace Yang Mao with:
Yang Mao Canada
Seyed Taghi Heydari Iran
José Juan Jiménez‐Moleón Spain
Andrew J. Cucchiara United States
Shankuan Zhu China
Jinlei Qi China
Nick Dessypris Greece
Shai Linn Israel
Noel S. Weiss United States
Maryam Akbari Iran
Ming Wu relative to Yang Mao Canada Yang Mao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015304
2 2019125
3 2013119
4 2020108
5 2020105
6 2009103
7 201497
8
Evolution of hepatitis B virus liver disease after hepatic replacement. Practical and theoretical considerations.
199090
9 200889
10 201377
11 200671
12 201465
13 201461
14 201457
15 201357
16 201857
17 201155
18 201549
19 201347
20 201143

About Ming Wu

Ming Wu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Epidemiology, Cardiology and Cardiovascular Medicine and Oncology, having authored 157 papers that have together received 3.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (14 papers), Nutritional Studies and Diet (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Esophageal Cancer Research and Treatment (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Cancer Risks and Factors (6 papers) and Cardiovascular Health and Risk Factors (6 papers). The work is most often cited by research in Transportation (157 citations), Safety, Risk, Reliability and Quality (213 citations), Cancer Research (273 citations), Hepatology (103 citations) and Endocrinology, Diabetes and Metabolism (219 citations). Ming Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jie Yang, Zhirong Guo, Xiao‐shu Hu, Jinyi Zhou, Yu Qin, Renqiang Han, Zhengyuan Zhou, Zuo‐Feng Zhang, Joan Ozanne‐Smith and Jinkou Zhao. Their work appears in journals such as International Journal of Cancer, BMC Public Health, PLoS ONE, The Lancet and Traffic Injury Prevention.

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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