Li-Zhen He
- Hematology top 2%
- Acute Myeloid Leukemia Research 4
- Immunology top 5%
- Immunotherapy and Immune Responses 18
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 7
- Molecular Biology top 5%
- Retinoids in leukemia and cellular processes 5
- Biochemistry top 5%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 12
- CAR-T cell therapy research 11
-
- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Pier Paolo PandolfiRaymond P. WarrellTibor KelerCarla TribioliDaniela PeruzziArthur ZelentMartin RuthardtFabien Guidez
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Advanced Materials (1 paper)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Li-Zhen He
40 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 96
- Hematology 593
- Immunology 812
- Molecular Biology 1.5k
- Biochemistry 115
- Oncology 495
Countries citing papers authored by Li-Zhen He
This map shows the geographic impact of Li-Zhen 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 Li-Zhen He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Zhen He more than expected).
Fields of papers citing papers by Li-Zhen He
This network shows the impact of papers produced by Li-Zhen 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 Li-Zhen He. The network helps show where Li-Zhen He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li-Zhen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 9 | |
| 3 | 2022 | 27 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 39 | |
| 6 | 2019 | 2 | |
| 7 | 2018 | 10 | |
| 8 | 2018 | 39 | |
| 9 | 2017 | 40 | |
| 10 | 2017 | 100 | |
| 11 | 2014 | 23 | |
| 12 | 2014 | 22 | |
| 13 | 2013 | 3 | |
| 14 | 2012 | 74 | |
| 15 | Targeting antigens to the human mannose receptor expressed in transgenic mice elicits potent CD4 and CD8 responses in vivo | 2006 | 1 |
| 16 | 2004 | 97 | |
| 17 | 2001 | 221 | |
| 18 | 1999 | 92 | |
| 19 | 1998 | 473 | |
| 20 | 1995 | 26 |
About Li-Zhen He
Li-Zhen He is a scholar working on Immunology, Oncology and Hematology, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (18 papers), Cancer Immunotherapy and Biomarkers (12 papers), CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), T-cell and B-cell Immunology (7 papers), Retinoids in leukemia and cellular processes (5 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hematology (593 citations), Immunology (812 citations) and Molecular Biology (1.5k citations). Li-Zhen He has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Pier Paolo Pandolfi, Raymond P. Warrell, Tibor Keler, Carla Tribioli, Daniela Peruzzi, Arthur Zelent, Martin Ruthardt, Fabien Guidez, Sue Zhong and Peter C. Grayson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Clinical Investigation.
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.