Ming-Gui Wang
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Tuberculosis Research and Epidemiology 14
- Epidemiology 10
- Mycobacterium research and diagnosis 6
- Pneumonia and Respiratory Infections 2
- Co-authors
- Shouquan Wu (25 shared papers)Jian‐Qing He (21 shared papers)Miaomiao Zhang (13 shared papers)Yu Wang (11 shared papers)Andrew J. Sandford (6 shared papers)Weiwei Huang (4 shared papers)Yunxia Zhang (2 shared papers)Miaomiao Zhang (5 shared papers)
In The Last Decade
Ming-Gui Wang
33 papers receiving 408 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 181
- Pharmacology 61
- Immunology 80
- Epidemiology 114
- Microbiology 22
Countries citing papers authored by Ming-Gui Wang
This map shows the geographic impact of Ming-Gui 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-Gui 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-Gui Wang more than expected).
Fields of papers citing papers by Ming-Gui Wang
This network shows the impact of papers produced by Ming-Gui 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-Gui Wang. The network helps show where Ming-Gui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Gui 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 42 | |
| 2 | 2018 | 42 | |
| 3 | 2021 | 36 | |
| 4 | 2019 | 31 | |
| 5 | 2018 | 24 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2018 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2018 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2017 | 9 |
About Ming-Gui Wang
Ming-Gui Wang is a scholar working on Infectious Diseases, Epidemiology, Immunology, Pharmacology and Surgery, having authored 34 papers that have together received 415 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (6 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Immune Response and Inflammation (4 papers), Infectious Diseases and Tuberculosis (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Pneumonia and Respiratory Infections (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Infectious Diseases (181 citations), Pharmacology (61 citations), Immunology (80 citations), Epidemiology (114 citations) and Microbiology (22 citations). Ming-Gui Wang has collaborated with scholars based in China and Canada. Frequent co-authors include Shouquan Wu, Jian‐Qing He, Miaomiao Zhang, Yu Wang, Andrew J. Sandford, Weiwei Huang, Yunxia Zhang, Miaomiao Zhang, Xiangmin Liu and Xiangming Liu. Their work appears in journals such as BMC Pulmonary Medicine, BMC Infectious Diseases, Bioscience Reports, Infection Genetics and Evolution and Scientific Reports.
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.