Hui Chen
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Cancer Research top 5%
Papers in
- Immunology 75
- Immune Cell Function and Interaction 32
- T-cell and B-cell Immunology 24
- Immunotherapy and Immune Responses 15
- Immune cells in cancer 13
- interferon and immune responses 7
- Co-authors
- Wei ShiMichael J. QuonSun-Ju YiJohn GroffenNora HeisterkampDapeng GongWei HeMichal Armoni
- Journals
- Frontiers in Immunology (7 papers)Journal of Biological Chemistry (4 papers)Cellular and Molecular Immunology (4 papers)Scientific Reports (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hui Chen
142 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 146
- Immunology 965
- Cancer Research 334
- Biochemistry 132
- Molecular Biology 1.4k
- Oncology 527
Countries citing papers authored by Hui Chen
This map shows the geographic impact of Hui Chen'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 Hui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Chen more than expected).
Fields of papers citing papers by Hui Chen
This network shows the impact of papers produced by Hui Chen. 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 Hui Chen. The network helps show where Hui Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hui Chen, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2020 | 12 | |
| 11 | 2018 | 70 | |
| 12 | 2018 | 11 | |
| 13 | 2018 | 18 | |
| 14 | 2017 | 12 | |
| 15 | 2017 | 36 | |
| 16 | 2017 | 30 | |
| 17 | 2016 | 28 | |
| 18 | 2015 | 50 | |
| 19 | 2014 | 19 | |
| 20 | 2012 | 28 |
About Hui Chen
Hui Chen is a scholar working on Immunology, Microbiology, Cancer Research, Oncology and Developmental Neuroscience, having authored 151 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (24 papers), Lung Cancer Treatments and Mutations (18 papers), Immunotherapy and Immune Responses (15 papers), Immune cells in cancer (13 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), interferon and immune responses (7 papers) and Fibroblast Growth Factor Research (7 papers). The work is most often cited by research in Immunology (965 citations), Cancer Research (334 citations), Biochemistry (132 citations), Molecular Biology (1.4k citations) and Oncology (527 citations). Hui Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Shi, Michael J. Quon, Sun-Ju Yi, John Groffen, Nora Heisterkamp, Dapeng Gong, Wei He, Michal Armoni, Chava Harel and Yong Zhao. Their work appears in journals such as Frontiers in Immunology, Journal of Biological Chemistry, Cellular and Molecular Immunology, Scientific Reports and Evidence-based Complementary and Alternative Medicine.
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.