Ming Wang
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 12
- Immunology 31
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 7
- Immune cells in cancer 6
- Immunotherapy and Immune Responses 6
- interferon and immune responses 4
- Co-authors
- Jennifer M. Klein (1 shared paper)Zhuji Fu (1 shared paper)Arthur L. Haas (1 shared paper)Zhihai Qin (17 shared papers)Jana Narasimhan (1 shared paper)Jung‐Ja P. Kim (1 shared paper)Yugang Jiang (2 shared papers)Yong Peng (2 shared papers)
- Journals
- Cancer Immunology Immunotherapy (3 papers)Frontiers in Immunology (2 papers)Aging (2 papers)Cell Death and Disease (2 papers)Theranostics (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ming Wang
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Immunology 588
- Cancer Research 295
- Molecular Biology 792
- Oncology 233
- Reproductive Medicine 61
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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 177 | |
| 2 | 2020 | 113 | |
| 3 | 2017 | 95 | |
| 4 | 2020 | 94 | |
| 5 | 2021 | 77 | |
| 6 | 2022 | 70 | |
| 7 | 2021 | 68 | |
| 8 | 2023 | 64 | |
| 9 | 2021 | 61 | |
| 10 | 2021 | 57 | |
| 11 | 2017 | 53 | |
| 12 | 2021 | 51 | |
| 13 | 2018 | 45 | |
| 14 | 2018 | 43 | |
| 15 | 2020 | 36 | |
| 16 | 2022 | 34 | |
| 17 | 2023 | 30 | |
| 18 | 2022 | 23 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 20 |
About Ming Wang
Ming Wang is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Oncology, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Extracellular vesicles in disease (12 papers), T-cell and B-cell Immunology (7 papers), Immune cells in cancer (6 papers), Immunotherapy and Immune Responses (6 papers), MicroRNA in disease regulation (5 papers), interferon and immune responses (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology (588 citations), Cancer Research (295 citations), Molecular Biology (792 citations), Oncology (233 citations) and Reproductive Medicine (61 citations). Ming Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jennifer M. Klein, Zhuji Fu, Arthur L. Haas, Zhihai Qin, Jana Narasimhan, Jung‐Ja P. Kim, Yugang Jiang, Yong Peng, Xiaohan Yao and Sudhanshu Bhushan. Their work appears in journals such as Cancer Immunology Immunotherapy, Frontiers in Immunology, Aging, Cell Death and Disease and Theranostics.
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.