Yapeng Su
Impact in
- Biophysics top 2%
- Spectroscopy Techniques in Biomedical and Chemical Research
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Single-cell and spatial transcriptomics 5
- Gene Regulatory Network Analysis 3
- Protein Degradation and Inhibitors 2
- Immunology 11
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 3
- Co-authors
- James R. Heath (18 shared papers)Wei Wei (5 shared papers)Antoni Ribas (7 shared papers)Min Xue (3 shared papers)Qihui Shi (1 shared paper)Jung-Woo Kim (3 shared papers)Jiajun Du (2 shared papers)Lu Wei (2 shared papers)
- Journals
- Journal of the American Chemical Society (2 papers)Cell Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Methods (1 paper)Blood (1 paper)
- Partner nations
- United StatesChinaSouth Africa
In The Last Decade
Yapeng Su
26 papers receiving 923 citations
Peers
Comparison fields: 5 of 107
- Biophysics 137
- Immunology 188
- Cancer Research 126
- Molecular Biology 513
- Oncology 178
Countries citing papers authored by Yapeng Su
This map shows the geographic impact of Yapeng Su'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 Yapeng Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yapeng Su more than expected).
Fields of papers citing papers by Yapeng Su
This network shows the impact of papers produced by Yapeng Su. 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 Yapeng Su. The network helps show where Yapeng Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yapeng Su, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2020 | 118 | |
| 3 | 2019 | 107 | |
| 4 | 2014 | 107 | |
| 5 | 2015 | 79 | |
| 6 | 2017 | 66 | |
| 7 | 2018 | 37 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 34 | |
| 10 | 2019 | 33 | |
| 11 | 2016 | 31 | |
| 12 | 2022 | 23 | |
| 13 | 2024 | 20 | |
| 14 | 2006 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 12 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2006 | 8 | |
| 20 | 2022 | 6 |
About Yapeng Su
Yapeng Su is a scholar working on Molecular Biology, Immunology, Oncology, Biomedical Engineering and Spectroscopy, having authored 29 papers that have together received 933 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (7 papers), T-cell and B-cell Immunology (6 papers), Single-cell and spatial transcriptomics (5 papers), Immunotherapy and Immune Responses (3 papers), Gene Regulatory Network Analysis (3 papers), Protein Degradation and Inhibitors (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Biophysics (137 citations), Immunology (188 citations), Cancer Research (126 citations), Molecular Biology (513 citations) and Oncology (178 citations). Yapeng Su has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include James R. Heath, Wei Wei, Antoni Ribas, Min Xue, Qihui Shi, Jung-Woo Kim, Jiajun Du, Lu Wei, Lídia Robert and Alphonsus H. C. Ng. Their work appears in journals such as Journal of the American Chemical Society, Cell Reports, Proceedings of the National Academy of Sciences, Nature Methods 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.