Bingxia Ming
Impact in
-
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
- Immunology 13
- Immune Cell Function and Interaction 6
- IL-33, ST2, and ILC Pathways 4
- Immune Response and Inflammation 4
- T-cell and B-cell Immunology 3
-
- Salivary Gland Disorders and Functions 7
- Co-authors
- Lingli Dong (16 shared papers)Fang Zheng (13 shared papers)Jixin Zhong (11 shared papers)Feili Gong (7 shared papers)Ming Gao (6 shared papers)Huijuan Zou (6 shared papers)Yong Xu (5 shared papers)Lingli Dong (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Lara D. Veeken (2 papers)Clinical Rheumatology (2 papers)Journal of Dermatological Science (1 paper)Seminars in Arthritis and Rheumatism (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bingxia Ming
23 papers receiving 388 citations
Peers
Comparison fields: 5 of 58
- Immunology 180
- Clinical Biochemistry 55
- Rheumatology 63
- Neurology 34
- Physiology 68
Countries citing papers authored by Bingxia Ming
This map shows the geographic impact of Bingxia Ming'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 Bingxia Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingxia Ming more than expected).
Fields of papers citing papers by Bingxia Ming
This network shows the impact of papers produced by Bingxia Ming. 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 Bingxia Ming. The network helps show where Bingxia Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingxia Ming, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 48 | |
| 2 | 2014 | 45 | |
| 3 | 2018 | 42 | |
| 4 | 2015 | 35 | |
| 5 | 2019 | 27 | |
| 6 | 2022 | 24 | |
| 7 | 2019 | 22 | |
| 8 | 2021 | 18 | |
| 9 | 2016 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2014 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Bingxia Ming
Bingxia Ming is a scholar working on Immunology, Physiology, Clinical Biochemistry, Rheumatology and Surgery, having authored 24 papers that have together received 391 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (7 papers), Immune Cell Function and Interaction (6 papers), Advanced Glycation End Products research (5 papers), IL-33, ST2, and ILC Pathways (4 papers), Immune Response and Inflammation (4 papers), T-cell and B-cell Immunology (3 papers), Diabetes and associated disorders (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Immunology (180 citations), Clinical Biochemistry (55 citations), Rheumatology (63 citations), Neurology (34 citations) and Physiology (68 citations). Bingxia Ming has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lingli Dong, Fang Zheng, Jixin Zhong, Feili Gong, Ming Gao, Huijuan Zou, Yong Xu, Lingli Dong, Xuefen Wu and Yan Sun. Their work appears in journals such as Frontiers in Immunology, Lara D. Veeken, Clinical Rheumatology, Journal of Dermatological Science and Seminars in Arthritis and Rheumatism.
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.