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 14
- Immune Cell Function and Interaction 7
- IL-33, ST2, and ILC Pathways 4
- Immune Response and Inflammation 4
- T-cell and B-cell Immunology 3
-
- Systemic Lupus Erythematosus Research 4
- 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)Zheng Tan (8 shared papers)Huijuan Zou (6 shared papers)Xuefen Wu (5 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Lara D. Veeken (2 papers)Clinical Rheumatology (2 papers)Clinical and Experimental Rheumatology (1 paper)Modern Rheumatology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bingxia Ming
23 papers receiving 373 citations
Peers
Comparison fields: 5 of 65
- Immunology 191
- Clinical Biochemistry 59
- Neurology 39
- Rheumatology 71
- Physiology 70
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 | 47 | |
| 2 | 2014 | 45 | |
| 3 | 2018 | 40 | |
| 4 | 2015 | 34 | |
| 5 | 2019 | 27 | |
| 6 | 2022 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2021 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2014 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 5 |
About Bingxia Ming
Bingxia Ming is a scholar working on Immunology, Rheumatology, Physiology, Clinical Biochemistry and Surgery, having authored 24 papers that have together received 376 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Salivary Gland Disorders and Functions (7 papers), Advanced Glycation End Products research (5 papers), IL-33, ST2, and ILC Pathways (4 papers), Immune Response and Inflammation (4 papers), Systemic Lupus Erythematosus Research (4 papers), T-cell and B-cell Immunology (3 papers) and Systemic Sclerosis and Related Diseases (2 papers). The work is most often cited by research in Immunology (191 citations), Clinical Biochemistry (59 citations), Neurology (39 citations), Rheumatology (71 citations) and Physiology (70 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, Zheng Tan, Huijuan Zou, Xuefen Wu, Yong Xu and Lingli Dong. Their work appears in journals such as Frontiers in Immunology, Lara D. Veeken, Clinical Rheumatology, Clinical and Experimental Rheumatology and Modern Rheumatology.
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.