I‐Ting Chow
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Gastroenterology top 5%
- Celiac Disease Research and Management
Papers in
- Immunology 18
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 4
- Genetics 13
- Diabetes and associated disorders 12
- Co-authors
- William W. Kwok (23 shared papers)Eddie A. James (14 shared papers)Carla J. Greenbaum (8 shared papers)Daesong Yim (1 shared paper)Zhenpeng Dai (1 shared paper)Henning H. Mann (1 shared paper)Thomas A. Spies (1 shared paper)Brett K. Kaiser (1 shared paper)
- Journals
- Diabetes (5 papers)Proceedings of the National Academy of Sciences (2 papers)FEBS Letters (2 papers)Frontiers in Immunology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesGreeceSingapore
In The Last Decade
I‐Ting Chow
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Immunology 584
- Gastroenterology 106
- Genetics 409
- Oncology 285
- Endocrinology, Diabetes and Metabolism 166
Countries citing papers authored by I‐Ting Chow
This map shows the geographic impact of I‐Ting Chow'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 I‐Ting Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Ting Chow more than expected).
Fields of papers citing papers by I‐Ting Chow
This network shows the impact of papers produced by I‐Ting Chow. 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 I‐Ting Chow. The network helps show where I‐Ting Chow may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Ting Chow, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 323 | |
| 2 | 2014 | 129 | |
| 3 | 2018 | 110 | |
| 4 | 2014 | 106 | |
| 5 | 2020 | 82 | |
| 6 | 2022 | 76 | |
| 7 | 2018 | 75 | |
| 8 | 2016 | 58 | |
| 9 | 2020 | 42 | |
| 10 | 2005 | 32 | |
| 11 | 2014 | 32 | |
| 12 | 2020 | 26 | |
| 13 | 2022 | 25 | |
| 14 | 2005 | 23 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 20 | |
| 17 | 2018 | 14 | |
| 18 | 2013 | 14 | |
| 19 | 2019 | 10 | |
| 20 | 2011 | 9 |
About I‐Ting Chow
I‐Ting Chow is a scholar working on Immunology, Genetics, Gastroenterology, Oncology and Molecular Biology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (12 papers), Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (4 papers), Pancreatic function and diabetes (3 papers), Gut microbiota and health (3 papers), Heat shock proteins research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (584 citations), Gastroenterology (106 citations), Genetics (409 citations), Oncology (285 citations) and Endocrinology, Diabetes and Metabolism (166 citations). I‐Ting Chow has collaborated with scholars based in United States, Greece and Singapore. Frequent co-authors include William W. Kwok, Eddie A. James, Carla J. Greenbaum, Daesong Yim, Zhenpeng Dai, Henning H. Mann, Thomas A. Spies, Brett K. Kaiser, Roland K. Strong and Segundo R. Gonzalez. Their work appears in journals such as Diabetes, Proceedings of the National Academy of Sciences, FEBS Letters, Frontiers in Immunology 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.