Junting Ai
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 6
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
- Atherosclerosis and Cardiovascular Diseases 3
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- Systemic Lupus Erythematosus Research 8
- 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 Biological Chemistry (2 papers)Journal of Clinical Investigation (2 papers)Current Opinion in Endocrinology Diabetes and Obesity (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Junting Ai
23 papers receiving 584 citations
Peers
Comparison fields: 5 of 79
- Immunology 262
- Endocrinology, Diabetes and Metabolism 91
- Epidemiology 170
- Rheumatology 59
- Nephrology 25
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 107 | |
| 2 | 2011 | 62 | |
| 3 | 2020 | 61 | |
| 4 | 2018 | 61 | |
| 5 | 2019 | 44 | |
| 6 | 2014 | 39 | |
| 7 | 2022 | 31 | |
| 8 | 2014 | 27 | |
| 9 | 2014 | 25 | |
| 10 | 2015 | 25 | |
| 11 | 2019 | 24 | |
| 12 | 2016 | 20 | |
| 13 | 2015 | 16 | |
| 14 | 2023 | 12 | |
| 15 | 2018 | 10 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 1 |
About Junting Ai
Junting Ai is a scholar working on Immunology, Rheumatology, Molecular Biology, Epidemiology and Biophysics, having authored 25 papers that have together received 589 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Cell Image Analysis Techniques (4 papers), Single-cell and spatial transcriptomics (3 papers), Image Processing Techniques and Applications (3 papers), Immune Cell Function and Interaction (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Immunology (262 citations), Endocrinology, Diabetes and Metabolism (91 citations), Epidemiology (170 citations), Rheumatology (59 citations) and Nephrology (25 citations). Junting Ai has collaborated with scholars based in United States, China and Sweden. 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 Mark Maienschein‐Cline. Their work appears in journals such as Nature Immunology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry, Journal of Clinical Investigation and Current Opinion in Endocrinology Diabetes and Obesity.
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.