Bailin He
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
-
- Immune Cell Function and Interaction
Papers in
- Oncology 14
- CAR-T cell therapy research 11
- Cancer Immunotherapy and Biomarkers 2
- Immunology 12
- Immune Cell Function and Interaction 6
- interferon and immune responses 2
- Immune cells in cancer 2
- Co-authors
- Xinyu Wu (9 shared papers)Can Wang (9 shared papers)Brigitte Neuber (3 shared papers)Carsten Müller‐Tidow (3 shared papers)Michael Schmitt (3 shared papers)Lei Wang (3 shared papers)Maria‐Luisa Schubert (2 shared papers)Liqun Luo (4 shared papers)
- Journals
- Blood (5 papers)Experimental Hematology and Oncology (2 papers)eLife (2 papers)OncoImmunology (1 paper)Cancer Immunology Immunotherapy (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bailin He
27 papers receiving 406 citations
Peers
Comparison fields: 5 of 63
- Oncology 206
- Immunology 128
- Rehabilitation 32
- Hematology 46
- Genetics 29
Countries citing papers authored by Bailin He
This map shows the geographic impact of Bailin 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 Bailin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bailin He more than expected).
Fields of papers citing papers by Bailin He
This network shows the impact of papers produced by Bailin 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 Bailin He. The network helps show where Bailin He may publish in the future.
Co-authors
The 25 scholars most cited alongside Bailin 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 88 | |
| 2 | 2019 | 41 | |
| 3 | 2017 | 36 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2023 | 21 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2024 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2025 | 4 |
About Bailin He
Bailin He is a scholar working on Oncology, Immunology, Biomedical Engineering, Molecular Biology and Rehabilitation, having authored 30 papers that have together received 410 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Muscle activation and electromyography studies (7 papers), Prosthetics and Rehabilitation Robotics (7 papers), Immune Cell Function and Interaction (6 papers), Stroke Rehabilitation and Recovery (5 papers), interferon and immune responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Oncology (206 citations), Immunology (128 citations), Rehabilitation (32 citations), Hematology (46 citations) and Genetics (29 citations). Bailin He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xinyu Wu, Can Wang, Brigitte Neuber, Carsten Müller‐Tidow, Michael Schmitt, Lei Wang, Maria‐Luisa Schubert, Liqun Luo, Susanne Hofmann and Lieping Chen. Their work appears in journals such as Blood, Experimental Hematology and Oncology, eLife, OncoImmunology and Cancer Immunology Immunotherapy.
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.