Ai Kariyone
- Immunology top 5%
- Infectious Diseases top 10%
- Epidemiology
- Molecular Biology
- Ophthalmology top 5%
- Co-authors
- Kiyoshi TakatsuMasafumi TakiguchiKevin B. UrdahlShahin ShafianiM FujiwaraKyoichi KanoYutaka MizushimaMitsuhiro Takeno
- Topics
- T-cell and B-cell Immunology (23 papers)Immune Cell Function and Interaction (19 papers)Immunotherapy and Immune Responses (13 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Ai Kariyone
36 papers receiving 985 citations
Peers
Comparison fields: 5 of 75
- Immunology 696
- Infectious Diseases 240
- Epidemiology 196
- Molecular Biology 171
- Ophthalmology 116
Countries citing papers authored by Ai Kariyone
This map shows the geographic impact of Ai Kariyone'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 Ai Kariyone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Kariyone more than expected).
Fields of papers citing papers by Ai Kariyone
This network shows the impact of papers produced by Ai Kariyone. 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 Ai Kariyone. The network helps show where Ai Kariyone may publish in the future.
Co-authorship network of co-authors of Ai Kariyone
This figure shows the co-authorship network connecting the top 25 collaborators of Ai Kariyone. A scholar is included among the top collaborators of Ai Kariyone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ai Kariyone. Ai Kariyone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 12 | |
| 3 | 15 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 99 | |
| 8 | 28 | |
| 9 | 22 | |
| 10 | 30 | |
| 11 | 18 | |
| 12 | 42 | |
| 13 | 134 | |
| 14 | 41 | |
| 15 | 8 | |
| 16 | 17 | |
| 17 | 14 | |
| 18 | 11 | |
| 19 | Lipopolysaccharide-induced autoantibody response. II. Age-related change in plaque-forming cell response to bromelain-treated syngeneic erythrocytes. | 6 |
| 20 | Lack of correlation between tolerance inducibility and major histocompatibility gene complex. | 1 |
About Ai Kariyone
Ai Kariyone is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (23 papers), Immune Cell Function and Interaction (19 papers) and Immunotherapy and Immune Responses (13 papers). The work is most often cited by research in Immunology (696 citations), Infectious Diseases (240 citations) and Ophthalmology (116 citations). Ai Kariyone has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kiyoshi Takatsu, Masafumi Takiguchi, Kevin B. Urdahl, Shahin Shafiani, M Fujiwara, Kyoichi Kano, Yutaka Mizushima, Mitsuhiro Takeno, Tsuyoshi Sakane and Hidetoshi Kaneoka. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine 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.