Mingli Gu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Liver Diseases and Immunity
Papers in
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- Circular RNAs in diseases 3
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 3
- Co-authors
- Anmei Deng (21 shared papers)Tengda Li (3 shared papers)Yun Liu (3 shared papers)Guo Jie (3 shared papers)Zhide Hu (4 shared papers)Weiwei Zhang (1 shared paper)Weiwei Zhang (3 shared papers)Shuping Long (1 shared paper)
- Journals
- Medicine (2 papers)Cellular Physiology and Biochemistry (2 papers)Journal of Clinical Immunology (2 papers)Clinical Epigenetics (1 paper)Clinica Chimica Acta (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Mingli Gu
30 papers receiving 446 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 118
- Hepatology 40
- Immunology 97
- Immunology and Allergy 24
- Molecular Biology 228
Countries citing papers authored by Mingli Gu
This map shows the geographic impact of Mingli Gu'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 Mingli Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingli Gu more than expected).
Fields of papers citing papers by Mingli Gu
This network shows the impact of papers produced by Mingli Gu. 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 Mingli Gu. The network helps show where Mingli Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingli Gu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 66 | |
| 2 | 2013 | 58 | |
| 3 | 2011 | 35 | |
| 4 | 2020 | 31 | |
| 5 | 2018 | 19 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 16 | |
| 10 | 2014 | 16 | |
| 11 | 2013 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2010 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 12 | |
| 17 | 2009 | 11 | |
| 18 | 2009 | 11 | |
| 19 | 2021 | 9 | |
| 20 | 2017 | 8 |
About Mingli Gu
Mingli Gu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Hepatology, having authored 30 papers that have together received 449 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Liver Diseases and Immunity (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Platelet Disorders and Treatments (3 papers), Dermatology and Skin Diseases (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cancer Research (118 citations), Hepatology (40 citations), Immunology (97 citations), Immunology and Allergy (24 citations) and Molecular Biology (228 citations). Mingli Gu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Anmei Deng, Tengda Li, Yun Liu, Guo Jie, Zhide Hu, Weiwei Zhang, Weiwei Zhang, Shuping Long, Tengda Li and Sunxiao Chen. Their work appears in journals such as Medicine, Cellular Physiology and Biochemistry, Journal of Clinical Immunology, Clinical Epigenetics and Clinica Chimica Acta.
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.