Guideng Li
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
- Immunology 25
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 5
- Immune cells in cancer 4
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- Epigenetics and DNA Methylation 5
- Co-authors
- David Baltimore (8 shared papers)Luke Frankiw (4 shared papers)Alok V. Joglekar (3 shared papers)Paolo Casali (8 shared papers)Jessica K. Wang (4 shared papers)Hong Zan (5 shared papers)Zhenming Xu (7 shared papers)Zhe Wang (5 shared papers)
- Journals
- Cell Reports (3 papers)Nature Methods (3 papers)Cancer Letters (2 papers)Cancer Cell (2 papers)Nature Metabolism (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Guideng Li
43 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Immunology 798
- Cancer Research 275
- Oncology 460
- Molecular Biology 902
- Radiology, Nuclear Medicine and Imaging 130
Countries citing papers authored by Guideng Li
This map shows the geographic impact of Guideng Li'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 Guideng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guideng Li more than expected).
Fields of papers citing papers by Guideng Li
This network shows the impact of papers produced by Guideng Li. 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 Guideng Li. The network helps show where Guideng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Guideng Li, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 187 | |
| 2 | 2019 | 185 | |
| 3 | 2018 | 136 | |
| 4 | 2019 | 109 | |
| 5 | 2019 | 109 | |
| 6 | 2019 | 102 | |
| 7 | 2014 | 96 | |
| 8 | 2020 | 94 | |
| 9 | 2023 | 83 | |
| 10 | 2013 | 74 | |
| 11 | 2019 | 74 | |
| 12 | 2013 | 65 | |
| 13 | 2006 | 60 | |
| 14 | 2009 | 54 | |
| 15 | 2015 | 52 | |
| 16 | 2013 | 40 | |
| 17 | 2012 | 38 | |
| 18 | 2018 | 37 | |
| 19 | 2024 | 34 | |
| 20 | 2021 | 32 |
About Guideng Li
Guideng Li is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (9 papers), CAR-T cell therapy research (7 papers), Epigenetics and DNA Methylation (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Nuclear Receptors and Signaling (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Immunology (798 citations), Cancer Research (275 citations), Oncology (460 citations), Molecular Biology (902 citations) and Radiology, Nuclear Medicine and Imaging (130 citations). Guideng Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include David Baltimore, Luke Frankiw, Alok V. Joglekar, Paolo Casali, Jessica K. Wang, Hong Zan, Zhenming Xu, Zhe Wang, Clayton A. White and Egest J. Pone. Their work appears in journals such as Cell Reports, Nature Methods, Cancer Letters, Cancer Cell and Nature Metabolism.
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.