Ming-Da Wang
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
- Hepatology 47
- Hepatocellular Carcinoma Treatment and Prognosis 46
- Hepatitis C virus research 5
- Epidemiology 32
- Liver Disease Diagnosis and Treatment 27
- Hepatitis B Virus Studies 14
- Co-authors
- Tian Yang (43 shared papers)Feng Shen (39 shared papers)Lei Liang (21 shared papers)Wan Yee Lau (31 shared papers)Mengchao Wu (16 shared papers)Han Wu (25 shared papers)Timothy M. Pawlik (22 shared papers)Hao Xing (16 shared papers)
- Journals
- Annals of Surgical Oncology (5 papers)HPB (4 papers)Journal of Gastrointestinal Surgery (4 papers)Surgery (3 papers)Advanced Materials (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ming-Da Wang
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Hepatology 622
- Cancer Research 370
- Epidemiology 424
- Oncology 253
- Pulmonary and Respiratory Medicine 158
Countries citing papers authored by Ming-Da Wang
This map shows the geographic impact of Ming-Da 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-Da 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-Da Wang more than expected).
Fields of papers citing papers by Ming-Da Wang
This network shows the impact of papers produced by Ming-Da 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-Da Wang. The network helps show where Ming-Da Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Da 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 79 | |
| 2 | 2016 | 68 | |
| 3 | 2019 | 56 | |
| 4 | 2019 | 55 | |
| 5 | 2017 | 50 | |
| 6 | 2018 | 48 | |
| 7 | 2022 | 45 | |
| 8 | 2016 | 45 | |
| 9 | 2018 | 40 | |
| 10 | 2022 | 39 | |
| 11 | 2019 | 36 | |
| 12 | 2019 | 35 | |
| 13 | 2018 | 31 | |
| 14 | 2021 | 30 | |
| 15 | 2021 | 29 | |
| 16 | 2021 | 25 | |
| 17 | 2022 | 23 | |
| 18 | 2022 | 21 | |
| 19 | 2018 | 20 | |
| 20 | 2018 | 20 |
About Ming-Da Wang
Ming-Da Wang is a scholar working on Hepatology, Epidemiology, Cancer Research, Surgery and Oncology, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (46 papers), Liver Disease Diagnosis and Treatment (27 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (16 papers), Cancer, Lipids, and Metabolism (14 papers), Hepatitis B Virus Studies (14 papers), Cancer, Hypoxia, and Metabolism (7 papers), Nanoplatforms for cancer theranostics (5 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Hepatology (622 citations), Cancer Research (370 citations), Epidemiology (424 citations), Oncology (253 citations) and Pulmonary and Respiratory Medicine (158 citations). Ming-Da Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tian Yang, Feng Shen, Lei Liang, Wan Yee Lau, Mengchao Wu, Han Wu, Timothy M. Pawlik, Hao Xing, Chao Li and Li‐Yang Sun. Their work appears in journals such as Annals of Surgical Oncology, HPB, Journal of Gastrointestinal Surgery, Surgery and Advanced Materials.
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.