Jiani Chai
- Molecular Biology
- Immunology top 10%
- Infectious Diseases top 10%
- Genetics
- Physiology
- Co-authors
- Chyi‐Song HsiehVictor S. CortezBlanda Di LucciaLuisa Cervantes‐BarragánMarco ColonnaSusan GilfillanMohamed S. DoniaJoseph A. Merriman
- Topics
- Immune Cell Function and Interaction (7 papers)Helicobacter pylori-related gastroenterology studies (5 papers)T-cell and B-cell Immunology (5 papers)
- Journals
- ScienceThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Jiani Chai
19 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 682
- Immunology 415
- Infectious Diseases 226
- Genetics 177
- Physiology 154
Countries citing papers authored by Jiani Chai
This map shows the geographic impact of Jiani Chai'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 Jiani Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiani Chai more than expected).
Fields of papers citing papers by Jiani Chai
This network shows the impact of papers produced by Jiani Chai. 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 Jiani Chai. The network helps show where Jiani Chai may publish in the future.
Co-authorship network of co-authors of Jiani Chai
This figure shows the co-authorship network connecting the top 25 collaborators of Jiani Chai. A scholar is included among the top collaborators of Jiani Chai 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 Jiani Chai. Jiani Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 34 | |
| 9 | 24 | |
| 10 | 37 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 0 | |
| 14 | 109 | |
| 15 | Helicobacter species are potent drivers of colonic T cell responses in homeostasis and inflammation | 9 |
| 16 | 167 | |
| 17 | Lactobacillus reuteri induces gut intraepithelial CD4 + CD8αα + T cellsbreakdown → | 669 |
| 18 | 113 | |
| 19 | 13 | |
| 20 | 45 |
About Jiani Chai
Jiani Chai is a scholar working on Immunology, Endocrinology and Gastroenterology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Helicobacter pylori-related gastroenterology studies (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Biological Psychiatry (145 citations), Immunology (415 citations) and Gastroenterology (73 citations). Jiani Chai has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Chyi‐Song Hsieh, Victor S. Cortez, Blanda Di Luccia, Luisa Cervantes‐Barragán, Marco Colonna, Susan Gilfillan, Mohamed S. Donia, Joseph A. Merriman, Jeffrey I. Gordon and Michael G. Caparon. Their work appears in journals such as Science, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.