Ming Wan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Surgery 9
- Cholangiocarcinoma and Gallbladder Cancer Studies 7
- Co-authors
- Yunfu Cui (10 shared papers)Pengcheng Kang (9 shared papers)Xingming Jiang (5 shared papers)Xiangyu Zhong (8 shared papers)Jin Qian (1 shared paper)Fumin Zhang (4 shared papers)Ying Yu (1 shared paper)Pengfei Zhao (1 shared paper)
- Journals
- Frontiers in Medicine (3 papers)Bone Marrow Transplantation (2 papers)Medicine (2 papers)Oncotarget (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ming Wan
51 papers receiving 594 citations
Ming Wan's Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 176
- Computer Graphics and Computer-Aided Design 28
- Hepatology 44
- Computer Vision and Pattern Recognition 78
- Molecular Biology 211
Countries citing papers authored by Ming Wan
This map shows the geographic impact of Ming Wan'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 Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wan more than expected).
Fields of papers citing papers by Ming Wan
This network shows the impact of papers produced by Ming Wan. 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 Wan. The network helps show where Ming Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wan, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets Hit paper breakdown → | 2024 | 75 |
| 2 | 2017 | 65 | |
| 3 | 2014 | 47 | |
| 4 | 2014 | 43 | |
| 5 | 2017 | 39 | |
| 6 | 2002 | 39 | |
| 7 | 2017 | 25 | |
| 8 | 2014 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2015 | 21 | |
| 11 | 2018 | 18 | |
| 12 | 2005 | 12 | |
| 13 | 2016 | 12 | |
| 14 | Diwu Yanggan capsule improving liver histological response for patients with HBeAg-negative chronic hepatitis B: a randomized controlled clinical trial. | 2018 | 12 |
| 15 | 2016 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2023 | 9 | |
| 19 | Diwu Yanggan capsule inhibits the occurrence and development of liver cancer in the Solt-Farber rat model by regulating the Ras/Raf/Mek/Erk signaling pathway. | 2018 | 9 |
| 20 | 2013 | 8 |
About Ming Wan
Ming Wan is a scholar working on Surgery, Molecular Biology, Cancer Research, Oncology and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 606 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Computer Graphics and Visualization Techniques (6 papers), Cancer-related molecular mechanisms research (5 papers), Advanced Vision and Imaging (5 papers), MicroRNA in disease regulation (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Cancer Research (176 citations), Computer Graphics and Computer-Aided Design (28 citations), Hepatology (44 citations), Computer Vision and Pattern Recognition (78 citations) and Molecular Biology (211 citations). Ming Wan has collaborated with scholars based in China, United States and France. Frequent co-authors include Yunfu Cui, Pengcheng Kang, Xingming Jiang, Xiangyu Zhong, Jin Qian, Fumin Zhang, Ying Yu, Pengfei Zhao, Kaiming Leng and Duoqian Miao. Their work appears in journals such as Frontiers in Medicine, Bone Marrow Transplantation, Medicine, Oncotarget and PLoS ONE.
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.