Yi Chai
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- CAR-T cell therapy research
Papers in
-
- Nerve injury and regeneration 3
- Genetics 4
- Glioma Diagnosis and Treatment 4
- Co-authors
- Christopher L. Wolfgang (1 shared paper)Daniel A. Laheru (1 shared paper)Kelly L. Olino (1 shared paper)Lei Zheng (1 shared paper)Elaine O. Bigelow (1 shared paper)Robert A. Anders (1 shared paper)Barish H. Edil (1 shared paper)Linda L. Liu (1 shared paper)
- Journals
- OncoTargets and Therapy (2 papers)Journal of Molecular Neuroscience (2 papers)European Neuropsychopharmacology (1 paper)ACS Materials Letters (1 paper)Oncology Reports (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yi Chai
22 papers receiving 818 citations
Peers
Comparison fields: 5 of 84
- Immunology 258
- Oncology 307
- Biomaterials 102
- Cancer Research 74
- Genetics 48
Countries citing papers authored by Yi Chai
This map shows the geographic impact of Yi 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 Yi Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Chai more than expected).
Fields of papers citing papers by Yi Chai
This network shows the impact of papers produced by Yi 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 Yi Chai. The network helps show where Yi Chai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Chai, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 348 | |
| 2 | 2021 | 73 | |
| 3 | 2021 | 50 | |
| 4 | 2021 | 46 | |
| 5 | 2021 | 44 | |
| 6 | 2010 | 37 | |
| 7 | 2019 | 29 | |
| 8 | 2020 | 29 | |
| 9 | 2022 | 24 | |
| 10 | 2023 | 21 | |
| 11 | 2017 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2023 | 16 | |
| 16 | 2020 | 11 | |
| 17 | 2018 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2019 | 4 |
About Yi Chai
Yi Chai is a scholar working on Cellular and Molecular Neuroscience, Genetics, Developmental Neuroscience, Oncology and Immunology, having authored 23 papers that have together received 827 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Nerve injury and regeneration (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Immune cells in cancer (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Immunology (258 citations), Oncology (307 citations), Biomaterials (102 citations), Cancer Research (74 citations) and Genetics (48 citations). Yi Chai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Christopher L. Wolfgang, Daniel A. Laheru, Kelly L. Olino, Lei Zheng, Elaine O. Bigelow, Robert A. Anders, Barish H. Edil, Linda L. Liu, Annie A. Wu and Richard David Schulick. Their work appears in journals such as OncoTargets and Therapy, Journal of Molecular Neuroscience, European Neuropsychopharmacology, ACS Materials Letters and Oncology Reports.
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.