Ming Wang
- Gastroenterology top 2%
- Gastrointestinal Tumor Research and Treatment 14
- Statistics and Probability top 2%
- Statistical Methods and Inference 22
- Statistical Methods and Bayesian Inference 17
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- Gastric Cancer Management and Outcomes 11
- Cancer Research top 10%
- Oncology top 10%
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- Child Abuse and Related Trauma 10
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- Peripheral Artery Disease Management 10
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- Child Abuse and Trauma 9
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- Health Systems, Economic Evaluations, Quality of Life 9
- Co-authors
- Nicholas G. ZaorskyVernon M. ChinchilliQiao LiLijun ZhangNan ZhangEric J. LehrerJing ZhaoJianghua Chen
- Journals
- Statistics in Medicine (7 papers)Child Abuse & Neglect (6 papers)JAMA Network Open (3 papers)
- Partner nations
- United StatesChinaMyanmar
In The Last Decade
Ming Wang
193 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Gastroenterology 228
- Statistics and Probability 154
- Pulmonary and Respiratory Medicine 547
- Cancer Research 230
- Oncology 404
Countries citing papers authored by Ming Wang
This map shows the geographic impact of Ming Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wang more than expected).
Fields of papers citing papers by Ming Wang
This network shows the impact of papers produced by Ming Wang. 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 Wang. The network helps show where Ming Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 1 | |
| 18 | 2019 | 48 | |
| 19 | 2017 | 9 | |
| 20 | [Analysis of death causes among infants in Guangzhou from 2010 to 2013]. | 2014 | 2 |
About Ming Wang
Ming Wang is a scholar working on Statistics and Probability, Gastroenterology and Oncology, having authored 212 papers that have together received 3.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (17 papers), Gastrointestinal Tumor Research and Treatment (14 papers), Gastric Cancer Management and Outcomes (11 papers), Child Abuse and Related Trauma (10 papers), Peripheral Artery Disease Management (10 papers), Child Abuse and Trauma (9 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). The work is most often cited by research in Gastroenterology (228 citations), Statistics and Probability (154 citations) and Pulmonary and Respiratory Medicine (547 citations). Ming Wang has collaborated with scholars based in United States, China and Myanmar. Frequent co-authors include Nicholas G. Zaorsky, Vernon M. Chinchilli, Qiao Li, Lijun Zhang, Nan Zhang, Eric J. Lehrer, Jing Zhao, Jianghua Chen, Long Qi and Zheng Li. Their work appears in journals such as Statistics in Medicine, Child Abuse & Neglect, JAMA Network Open, Biometrics and Journal of Vascular Surgery.
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.