Hai Yi
Impact in
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
-
- Acute Myeloid Leukemia Research
Papers in
- Oncology 11
- CAR-T cell therapy research 7
- Immunology 10
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 4
- Immune cells in cancer 3
- Co-authors
- Xuetao Cao (3 shared papers)Xiongfei Xu (3 shared papers)Sheng Xia (3 shared papers)Zhenhong Guo (3 shared papers)Quanxing Wang (1 shared paper)Yi Su (8 shared papers)Rui Deng (3 shared papers)Peiyan Kong (2 shared papers)
- Journals
- Blood (4 papers)Medicine (3 papers)Frontiers in Immunology (2 papers)Journal of Cellular Biochemistry (1 paper)BMB Reports (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hai Yi
31 papers receiving 387 citations
Peers
Comparison fields: 5 of 86
- Immunology 151
- Hematology 40
- Hepatology 24
- Cancer Research 37
- Oncology 65
Countries citing papers authored by Hai Yi
This map shows the geographic impact of Hai Yi'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 Hai Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Yi more than expected).
Fields of papers citing papers by Hai Yi
This network shows the impact of papers produced by Hai Yi. 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 Hai Yi. The network helps show where Hai Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Yi, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 123 | |
| 2 | 2016 | 60 | |
| 3 | 2016 | 42 | |
| 4 | 2011 | 22 | |
| 5 | 2021 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2025 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2008 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 2 |
About Hai Yi
Hai Yi is a scholar working on Oncology, Immunology, Molecular Biology, Hematology and Pathology and Forensic Medicine, having authored 39 papers that have together received 394 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (7 papers), Lymphoma Diagnosis and Treatment (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), Immune cells in cancer (3 papers), Autophagy in Disease and Therapy (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Immunology (151 citations), Hematology (40 citations), Hepatology (24 citations), Cancer Research (37 citations) and Oncology (65 citations). Hai Yi has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xuetao Cao, Xiongfei Xu, Sheng Xia, Zhenhong Guo, Quanxing Wang, Yi Su, Rui Deng, Peiyan Kong, Zhaohua Shen and Yilan Liu. Their work appears in journals such as Blood, Medicine, Frontiers in Immunology, Journal of Cellular Biochemistry and BMB 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.