Junting Ai
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Immunology 12
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Immune Response and Inflammation 4
- Immune Cell Function and Interaction 3
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- Systemic Lupus Erythematosus Research 7
- Co-authors
- Zhong Zheng (7 shared papers)Xiang‐An Li (7 shared papers)Ling Guo (6 shared papers)Marcus R. Clark (17 shared papers)Alan Daugherty (4 shared papers)Bin Huang (2 shared papers)Deborah A. Howatt (3 shared papers)Margaret Veselits (5 shared papers)
- Journals
- Nature Immunology (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Journal of Clinical Investigation (2 papers)Journal of Biological Chemistry (2 papers)Critical Care Medicine (1 paper)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Junting Ai
24 papers receiving 626 citations
Peers
Comparison fields: 5 of 79
- Immunology 249
- Endocrinology, Diabetes and Metabolism 76
- Rheumatology 56
- Epidemiology 121
- Nephrology 21
Countries citing papers authored by Junting Ai
This map shows the geographic impact of Junting Ai'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 Junting Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junting Ai more than expected).
Fields of papers citing papers by Junting Ai
This network shows the impact of papers produced by Junting Ai. 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 Junting Ai. The network helps show where Junting Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Junting Ai, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 117 | |
| 2 | 2018 | 67 | |
| 3 | 2011 | 66 | |
| 4 | 2020 | 64 | |
| 5 | 2019 | 45 | |
| 6 | 2014 | 39 | |
| 7 | 2022 | 35 | |
| 8 | 2015 | 28 | |
| 9 | 2014 | 27 | |
| 10 | 2019 | 26 | |
| 11 | 2014 | 25 | |
| 12 | 2016 | 22 | |
| 13 | 2015 | 18 | |
| 14 | 2023 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 2 |
About Junting Ai
Junting Ai is a scholar working on Immunology, Rheumatology, Biophysics, Media Technology and Molecular Biology, having authored 26 papers that have together received 634 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (7 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Cell Image Analysis Techniques (4 papers), Immune Response and Inflammation (4 papers), Single-cell and spatial transcriptomics (3 papers), Image Processing Techniques and Applications (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (249 citations), Endocrinology, Diabetes and Metabolism (76 citations), Rheumatology (56 citations), Epidemiology (121 citations) and Nephrology (21 citations). Junting Ai has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Zhong Zheng, Xiang‐An Li, Ling Guo, Marcus R. Clark, Alan Daugherty, Bin Huang, Deborah A. Howatt, Margaret Veselits, Domenick E. Kennedy and Maryellen Lissak Giger. Their work appears in journals such as Nature Immunology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Clinical Investigation, Journal of Biological Chemistry and Critical Care Medicine.
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.