Bingxia Ming
Impact in
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- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
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- Systemic Lupus Erythematosus Research 4
- IgG4-Related and Inflammatory Diseases 3
- Rheumatoid Arthritis Research and Therapies 2
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- Salivary Gland Disorders and Functions 9
- Co-authors
- Lingli Dong (21 shared papers)Fang Zheng (14 shared papers)Jixin Zhong (15 shared papers)Feili Gong (7 shared papers)Huijuan Zou (6 shared papers)Ming Gao (6 shared papers)Cong Ye (4 shared papers)Shaozhe Cai (10 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Lara D. Veeken (2 papers)Clinical Rheumatology (2 papers)Journal of Immunology Research (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bingxia Ming
30 papers receiving 533 citations
Peers
Comparison fields: 5 of 57
- Immunology 137
- Clinical Biochemistry 30
- Rheumatology 78
- Physiology 84
- Pathology and Forensic Medicine 54
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 73 | |
| 2 | 2015 | 51 | |
| 3 | 2014 | 48 | |
| 4 | 2018 | 43 | |
| 5 | 2015 | 37 | |
| 6 | 2019 | 27 | |
| 7 | 2022 | 27 | |
| 8 | 2020 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2021 | 18 | |
| 11 | 2023 | 16 | |
| 12 | 2016 | 15 | |
| 13 | 2014 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2021 | 9 |
About Bingxia Ming
Bingxia Ming is a scholar working on Rheumatology, Physiology, Clinical Biochemistry, Immunology and Pathology and Forensic Medicine, having authored 31 papers that have together received 540 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (9 papers), Systemic Lupus Erythematosus Research (4 papers), IgG4-Related and Inflammatory Diseases (3 papers), Advanced Glycation End Products research (3 papers), Transplantation: Methods and Outcomes (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (137 citations), Clinical Biochemistry (30 citations), Rheumatology (78 citations), Physiology (84 citations) and Pathology and Forensic Medicine (54 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, Huijuan Zou, Ming Gao, Cong Ye, Shaozhe Cai, Xuefen Wu and Yong X. Xu. Their work appears in journals such as Frontiers in Immunology, Lara D. Veeken, Clinical Rheumatology, Journal of Immunology Research and The Journal of Immunology.
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.