Kaiting Yang
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Immunology top 5%
- Immunotherapy and Immune Responses
- interferon and immune responses
Papers in
- Immunology 17
- Immunotherapy and Immune Responses 9
- Immune cells in cancer 4
- T-cell and B-cell Immunology 3
- Oncology 17
- Cancer Immunotherapy and Biomarkers 17
- Co-authors
- Ralph R. Weichselbaum (14 shared papers)Yang‐Xin Fu (13 shared papers)Hua Laura Liang (9 shared papers)Liangliang Wang (9 shared papers)Wenbin Lin (6 shared papers)Wenxin Zheng (5 shared papers)Jason Bugno (6 shared papers)Kaiyuan Ni (2 shared papers)
- Journals
- Nature (3 papers)The Journal of Experimental Medicine (3 papers)Journal of Clinical Investigation (2 papers)Scientific Reports (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kaiting Yang
31 papers receiving 2k citations
Kaiting Yang's Hit Papers
Peers
Comparison fields: 5 of 79
- Oncology 703
- Immunology 466
- Biotechnology 131
- Molecular Biology 719
- Biomaterials 100
Countries citing papers authored by Kaiting Yang
This map shows the geographic impact of Kaiting Yang'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 Kaiting Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiting Yang more than expected).
Fields of papers citing papers by Kaiting Yang
This network shows the impact of papers produced by Kaiting Yang. 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 Kaiting Yang. The network helps show where Kaiting Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiting Yang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Intratumoral accumulation of gut microbiota facilitates CD47-based immunotherapy via STING signaling Hit paper breakdown → | 2020 | 340 |
| 2 | Lactobacillus rhamnosus GG induces cGAS/STING- dependent type I interferon and improves response to immune checkpoint blockade Hit paper breakdown → | 2021 | 262 |
| 3 | 2022 | 186 | |
| 4 | 2019 | 171 | |
| 5 | YTHDF2 inhibition potentiates radiotherapy antitumor efficacy Hit paper breakdown → | 2023 | 171 |
| 6 | 2018 | 116 | |
| 7 | 2020 | 102 | |
| 8 | 2022 | 99 | |
| 9 | 2016 | 91 | |
| 10 | 2024 | 76 | |
| 11 | 2010 | 59 | |
| 12 | 2021 | 47 | |
| 13 | 2024 | 42 | |
| 14 | 2013 | 41 | |
| 15 | 2020 | 36 | |
| 16 | 2022 | 35 | |
| 17 | 2025 | 33 | |
| 18 | 2025 | 27 | |
| 19 | 2024 | 26 | |
| 20 | 2023 | 23 |
About Kaiting Yang
Kaiting Yang is a scholar working on Immunology, Oncology, Biomaterials, Molecular Biology and Pharmacy, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (17 papers), Immunotherapy and Immune Responses (9 papers), Immune cells in cancer (4 papers), Nanoparticle-Based Drug Delivery (3 papers), T-cell and B-cell Immunology (3 papers), Nanoplatforms for cancer theranostics (3 papers), RNA modifications and cancer (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Oncology (703 citations), Immunology (466 citations), Biotechnology (131 citations), Molecular Biology (719 citations) and Biomaterials (100 citations). Kaiting Yang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Ralph R. Weichselbaum, Yang‐Xin Fu, Hua Laura Liang, Liangliang Wang, Wenbin Lin, Wenxin Zheng, Jason Bugno, Kaiyuan Ni, Katharine G. Harris and Lai Xue. Their work appears in journals such as Nature, The Journal of Experimental Medicine, Journal of Clinical Investigation, Scientific Reports and Clinical Cancer Research.
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.