Ming Deng
Impact in
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
-
- Berberine and alkaloids research
Papers in
-
- Osteoarthritis Treatment and Mechanisms 5
- Co-authors
- Yaming Li (9 shared papers)Shiqing Liu (5 shared papers)Yonggang Ma (9 shared papers)Jianghua Ming (7 shared papers)Zhonghui Chen (5 shared papers)Jie Hou (1 shared paper)Quansheng Liu (1 shared paper)Xugang He (1 shared paper)
- Journals
- Scientific Reports (4 papers)Industrial Crops and Products (2 papers)Frontiers in Immunology (2 papers)Journal of Orthopaedic Surgery and Research (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ming Deng
36 papers receiving 533 citations
Peers
Comparison fields: 5 of 91
- Rheumatology 91
- Pharmacology 77
- Cancer Research 65
- Immunology 64
- Developmental Neuroscience 12
Countries citing papers authored by Ming Deng
This map shows the geographic impact of Ming Deng'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 Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Deng more than expected).
Fields of papers citing papers by Ming Deng
This network shows the impact of papers produced by Ming Deng. 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 Deng. The network helps show where Ming Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Deng, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 94 | |
| 2 | 2016 | 50 | |
| 3 | 2020 | 46 | |
| 4 | 2019 | 40 | |
| 5 | 2022 | 29 | |
| 6 | 2020 | 26 | |
| 7 | 2017 | 26 | |
| 8 | 2020 | 23 | |
| 9 | 2020 | 21 | |
| 10 | 2020 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2017 | 18 | |
| 13 | 2019 | 16 | |
| 14 | 2024 | 15 | |
| 15 | 2021 | 10 | |
| 16 | 2017 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2021 | 6 |
About Ming Deng
Ming Deng is a scholar working on Molecular Biology, Rheumatology, Pharmacology, Pathology and Forensic Medicine and Genetics, having authored 39 papers that have together received 537 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Berberine and alkaloids research (3 papers), Mesenchymal stem cell research (3 papers), Biofuel production and bioconversion (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Pregnancy-related medical research (2 papers), Advanced Cellulose Research Studies (2 papers) and Spinal Cord Injury Research (2 papers). The work is most often cited by research in Rheumatology (91 citations), Pharmacology (77 citations), Cancer Research (65 citations), Immunology (64 citations) and Developmental Neuroscience (12 citations). Ming Deng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yaming Li, Shiqing Liu, Yonggang Ma, Jianghua Ming, Zhonghui Chen, Jie Hou, Quansheng Liu, Xugang He, Ya Qin and Yan Zhou. Their work appears in journals such as Scientific Reports, Industrial Crops and Products, Frontiers in Immunology, Journal of Orthopaedic Surgery and Research and Advanced Functional Materials.
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.