Yi He
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 10%
Papers in
- Hematology 58
- Hematopoietic Stem Cell Transplantation 38
- Acute Myeloid Leukemia Research 29
- Chronic Myeloid Leukemia Treatments 8
- Oncology 20
- Polyomavirus and related diseases 8
- CAR-T cell therapy research 6
- Co-authors
- Erlie Jiang (77 shared papers)Sizhou Feng (59 shared papers)Weihua Zhai (62 shared papers)Qiaoling Ma (46 shared papers)Donglin Yang (53 shared papers)Jialin Wei (50 shared papers)Rongli Zhang (46 shared papers)Aiming Pang (53 shared papers)
- Journals
- Blood (9 papers)Frontiers in Immunology (8 papers)Cancer Cell International (3 papers)Frontiers in Oncology (3 papers)Biology of Blood and Marrow Transplantation (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi He
89 papers receiving 598 citations
Peers
Comparison fields: 5 of 63
- Hematology 246
- Transplantation 20
- Genetics 63
- Oncology 119
- Genetics 119
Countries citing papers authored by Yi He
This map shows the geographic impact of Yi He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi He more than expected).
Fields of papers citing papers by Yi He
This network shows the impact of papers produced by Yi He. 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 He. The network helps show where Yi He may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi He, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 49 | |
| 2 | 2019 | 30 | |
| 3 | 2022 | 28 | |
| 4 | 2018 | 28 | |
| 5 | 2010 | 25 | |
| 6 | 2022 | 24 | |
| 7 | 2013 | 22 | |
| 8 | 2017 | 21 | |
| 9 | 2022 | 21 | |
| 10 | 2017 | 21 | |
| 11 | Multivariate analysis by Cox proportional hazard model on prognosis of patient with epithelial ovarian cancer. | 2011 | 20 |
| 12 | 2020 | 16 | |
| 13 | 2014 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2020 | 9 |
About Yi He
Yi He is a scholar working on Hematology, Oncology, Epidemiology, Molecular Biology and Genetics, having authored 113 papers that have together received 602 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (38 papers), Acute Myeloid Leukemia Research (29 papers), Acute Lymphoblastic Leukemia research (14 papers), Cytomegalovirus and herpesvirus research (10 papers), Polyomavirus and related diseases (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Immune Cell Function and Interaction (8 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Hematology (246 citations), Transplantation (20 citations), Genetics (63 citations), Oncology (119 citations) and Genetics (119 citations). Yi He has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Erlie Jiang, Sizhou Feng, Weihua Zhai, Qiaoling Ma, Donglin Yang, Jialin Wei, Rongli Zhang, Aiming Pang, Yong Huang and R. Jude Samulski. Their work appears in journals such as Blood, Frontiers in Immunology, Cancer Cell International, Frontiers in Oncology and Biology of Blood and Marrow Transplantation.
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.