Yugang Guo
- Immunology top 10%
- Immunotherapy and Immune Responses 10
- Immune Cell Function and Interaction 5
- Oncology top 10%
- CAR-T cell therapy research 10
- Cancer Immunotherapy and Biomarkers 3
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 7
- Building and Construction top 5%
- Biotechnology top 10%
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- RNA modifications and cancer 6
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- Monoclonal and Polyclonal Antibodies Research 4
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- Ferroptosis and cancer prognosis 3
- Co-authors
- Li TangKewen LeiYuqing XieMin GaoSonglin DingHaoyu ZhangMingkai ZhouJie Wang
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Advanced Materials (2 papers)Blood (3 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Yugang Guo
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 381
- Oncology 307
- Cancer Research 160
- Building and Construction 124
- Biotechnology 60
Countries citing papers authored by Yugang Guo
This map shows the geographic impact of Yugang Guo'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 Yugang Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yugang Guo more than expected).
Fields of papers citing papers by Yugang Guo
This network shows the impact of papers produced by Yugang Guo. 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 Yugang Guo. The network helps show where Yugang Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yugang Guo, 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 | 2024 | 18 | |
| 3 | IL-10-expressing CAR T cells resist dysfunction and mediate durable clearance of solid tumors and metastasesbreakdown → | 2024 | 144 |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 36 | |
| 10 | Cancer-cell stiffening via cholesterol depletion enhances adoptive T-cell immunotherapybreakdown → | 2021 | 176 |
| 11 | 2021 | 56 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 79 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 18 | |
| 16 | 2016 | 8 | |
| 17 | 2015 | 11 | |
| 18 | 2014 | 49 | |
| 19 | 2014 | 12 | |
| 20 | 1998 | 6 |
About Yugang Guo
Yugang Guo is a scholar working on Immunology, Cancer Research and Oncology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (10 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (381 citations), Oncology (307 citations) and Cancer Research (160 citations). Yugang Guo has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Li Tang, Kewen Lei, Yuqing Xie, Min Gao, Songlin Ding, Haoyu Zhang, Mingkai Zhou, Jie Wang, Xiao Chen and Armand Kurum. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Blood.
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.