Ming Wang
Impact in
- Gastroenterology top 2%
- Gastrointestinal Tumor Research and Treatment
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Inference 22
- Statistical Methods and Bayesian Inference 17
- Advanced Causal Inference Techniques 9
- Co-authors
- Nicholas G. Zaorsky (20 shared papers)Vernon M. Chinchilli (17 shared papers)Qiao Li (1 shared paper)Lijun Zhang (13 shared papers)Eric J. Lehrer (10 shared papers)Nan Zhang (1 shared paper)Jianghua Chen (1 shared paper)Jing Zhao (1 shared paper)
- Journals
- Statistics in Medicine (7 papers)Child Abuse & Neglect (6 papers)Journal of Vascular Surgery (3 papers)Biometrical Journal (3 papers)JAMA Network Open (3 papers)
- Partner nations
- United StatesChinaMyanmar
In The Last Decade
Ming Wang
194 papers receiving 3.3k citations
Ming Wang's Hit Papers
Peers
Comparison fields: 5 of 183
- Gastroenterology 220
- Statistics and Probability 147
- Cancer Research 181
- Pediatrics, Perinatology and Child Health 213
- Oncology 302
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-authors
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
Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 236 | |
| 2 | 2017 | 138 | |
| 3 | 2021 | 134 | |
| 4 | 2020 | 126 | |
| 5 | 2016 | 116 | |
| 6 | 2008 | 78 | |
| 7 | 2015 | 77 | |
| 8 | 2002 | 74 | |
| 9 | 2014 | 68 | |
| 10 | 2022 | 64 | |
| 11 | Causes of death among people living with metastatic cancer Hit paper breakdown → | 2024 | 63 |
| 12 | 2020 | 54 | |
| 13 | 2021 | 53 | |
| 14 | 2021 | 52 | |
| 15 | 2010 | 51 | |
| 16 | 2019 | 50 | |
| 17 | Pharmacokinetics of tablet huperzine A in six volunteers. | 1995 | 47 |
| 18 | 2013 | 46 | |
| 19 | 2016 | 46 | |
| 20 | 2016 | 45 |
About Ming Wang
Ming Wang is a scholar working on Molecular Biology, Statistics and Probability, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 213 papers that have together received 3.4k 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 (12 papers), Child Abuse and Related Trauma (10 papers), Peripheral Artery Disease Management (9 papers), Advanced Causal Inference Techniques (9 papers), Cancer-related molecular mechanisms research (8 papers) and Health Systems, Economic Evaluations, Quality of Life (8 papers). The work is most often cited by research in Gastroenterology (220 citations), Statistics and Probability (147 citations), Cancer Research (181 citations), Pediatrics, Perinatology and Child Health (213 citations) and Oncology (302 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, Eric J. Lehrer, Nan Zhang, Jianghua Chen, Jing Zhao, Long Qi and Zheng Li. Their work appears in journals such as Statistics in Medicine, Child Abuse & Neglect, Journal of Vascular Surgery, Biometrical Journal and JAMA Network Open.
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.