Mingyu Gan
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Epidemiology top 5%
- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
- Pneumonia and Respiratory Infections
Papers in
- Epidemiology 18
- Mycobacterium research and diagnosis 15
- Pneumocystis jirovecii pneumonia detection and treatment 4
- Pneumonia and Respiratory Infections 2
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- Tuberculosis Research and Epidemiology 15
- Co-authors
- Qingyun Liu (17 shared papers)Qian Gao (13 shared papers)Chongguang Yang (7 shared papers)Tāo Luò (5 shared papers)Xin Shen (4 shared papers)Jian Mei (3 shared papers)Kathryn DeRiemer (3 shared papers)Tianyu Zuo (5 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Tuberculosis (2 papers)The Lancet Infectious Diseases (2 papers)The Journal of Infectious Diseases (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesVenezuela
In The Last Decade
Mingyu Gan
24 papers receiving 772 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 646
- Epidemiology 649
- Molecular Medicine 55
- Surgery 261
- Clinical Biochemistry 25
Countries citing papers authored by Mingyu Gan
This map shows the geographic impact of Mingyu Gan'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 Mingyu Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyu Gan more than expected).
Fields of papers citing papers by Mingyu Gan
This network shows the impact of papers produced by Mingyu Gan. 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 Mingyu Gan. The network helps show where Mingyu Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyu Gan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 189 | |
| 2 | 2015 | 117 | |
| 3 | 2018 | 80 | |
| 4 | 2018 | 78 | |
| 5 | 2022 | 39 | |
| 6 | 2017 | 35 | |
| 7 | 2016 | 33 | |
| 8 | 2021 | 31 | |
| 9 | 2021 | 29 | |
| 10 | 2018 | 29 | |
| 11 | 2021 | 27 | |
| 12 | 2023 | 21 | |
| 13 | 2017 | 16 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Mingyu Gan
Mingyu Gan is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Surgery and Genetics, having authored 25 papers that have together received 776 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (15 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Genomics and Phylogenetic Studies (3 papers), Neonatal and Maternal Infections (2 papers), Infectious Diseases and Tuberculosis (2 papers), RNA and protein synthesis mechanisms (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Infectious Diseases (646 citations), Epidemiology (649 citations), Molecular Medicine (55 citations), Surgery (261 citations) and Clinical Biochemistry (25 citations). Mingyu Gan has collaborated with scholars based in China, United States and Venezuela. Frequent co-authors include Qingyun Liu, Qian Gao, Chongguang Yang, Tāo Luò, Xin Shen, Jian Mei, Kathryn DeRiemer, Tianyu Zuo, Jie Wu and Peng Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Tuberculosis, The Lancet Infectious Diseases, The Journal of Infectious Diseases 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.