Mingyang Li
Impact in
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
-
- Gout, Hyperuricemia, Uric Acid
Papers in
- Immunology 12
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 7
-
- Plant Gene Expression Analysis 2
- Co-authors
- Mingquan Yan (3 shared papers)Yumeng Xi (1 shared paper)Zhendan Shi (1 shared paper)Shijia Ying (1 shared paper)Junshu Yan (1 shared paper)Qing Ge (6 shared papers)Rong Jin (5 shared papers)Jie Hao (4 shared papers)
- Journals
- Scientific Reports (2 papers)Frontiers in Immunology (2 papers)Journal of Translational Medicine (2 papers)Cellular and Molecular Immunology (2 papers)Chemosphere (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Mingyang Li
35 papers receiving 461 citations
Peers
Comparison fields: 5 of 116
- Immunology 109
- Nephrology 36
- Aging 6
- Hepatology 24
- Biological Psychiatry 7
Countries citing papers authored by Mingyang Li
This map shows the geographic impact of Mingyang Li'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 Mingyang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyang Li more than expected).
Fields of papers citing papers by Mingyang Li
This network shows the impact of papers produced by Mingyang Li. 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 Mingyang Li. The network helps show where Mingyang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyang Li, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2017 | 34 | |
| 3 | 2021 | 31 | |
| 4 | 2023 | 31 | |
| 5 | 2024 | 26 | |
| 6 | 2019 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2016 | 18 | |
| 11 | 2016 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2018 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2020 | 11 | |
| 17 | 2013 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2022 | 7 |
About Mingyang Li
Mingyang Li is a scholar working on Immunology, Molecular Biology, Epidemiology, Surgery and Oncology, having authored 41 papers that have together received 468 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (7 papers), Liver Disease Diagnosis and Treatment (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Advanced Battery Technologies Research (3 papers), Advanced battery technologies research (3 papers), Nanoplatforms for cancer theranostics (2 papers) and Plant Gene Expression Analysis (2 papers). The work is most often cited by research in Immunology (109 citations), Nephrology (36 citations), Aging (6 citations), Hepatology (24 citations) and Biological Psychiatry (7 citations). Mingyang Li has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Mingquan Yan, Yumeng Xi, Zhendan Shi, Shijia Ying, Junshu Yan, Qing Ge, Rong Jin, Jie Hao, Hounan Wu and Xiuyuan Sun. Their work appears in journals such as Scientific Reports, Frontiers in Immunology, Journal of Translational Medicine, Cellular and Molecular Immunology and Chemosphere.
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.