Yapeng Su
Impact in
- Neurology top 2%
- Long-Term Effects of COVID-19
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Immunology 14
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 6
- Oncology 10
- CAR-T cell therapy research 10
- Co-authors
- James R. Heath (18 shared papers)Wei Wei (5 shared papers)Antoni Ribas (6 shared papers)Min Zhao Xue (3 shared papers)Qihui Shi (1 shared paper)Jung-Woo Kim (2 shared papers)Jiajun Du (2 shared papers)Lu Wei (2 shared papers)
- Journals
- Cell Reports (4 papers)Nature Communications (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of the American Chemical Society (2 papers)Cell (2 papers)
- Partner nations
- United StatesChinaSouth Africa
In The Last Decade
Yapeng Su
40 papers receiving 3.0k citations
Yapeng Su's Hit Papers
Peers
Comparison fields: 5 of 140
- Neurology 733
- Infectious Diseases 735
- Biophysics 180
- Immunology 608
- Biological Psychiatry 59
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiple early factors anticipate post-acute COVID-19 sequelae Hit paper breakdown → | 2022 | 817 |
| 2 | Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19 Hit paper breakdown → | 2020 | 449 |
| 3 | 2021 | 181 | |
| 4 | KIR + CD8 + T cells suppress pathogenic T cells and are active in autoimmune diseases and COVID-19 Hit paper breakdown → | 2022 | 181 |
| 5 | 2017 | 179 | |
| 6 | 2020 | 136 | |
| 7 | 2016 | 135 | |
| 8 | 2019 | 120 | |
| 9 | 2014 | 116 | |
| 10 | 2015 | 88 | |
| 11 | 2021 | 87 | |
| 12 | 2020 | 78 | |
| 13 | 2017 | 73 | |
| 14 | 2021 | 48 | |
| 15 | 2024 | 46 | |
| 16 | 2020 | 44 | |
| 17 | 2018 | 41 | |
| 18 | 2019 | 38 | |
| 19 | 2016 | 34 | |
| 20 | 2022 | 32 |
About Yapeng Su
Yapeng Su is a scholar working on Immunology, Oncology, Infectious Diseases, Molecular Biology and Biophysics, having authored 43 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), CAR-T cell therapy research (10 papers), T-cell and B-cell Immunology (8 papers), COVID-19 Clinical Research Studies (6 papers), Immunotherapy and Immune Responses (6 papers), Single-cell and spatial transcriptomics (5 papers), Gene Regulatory Network Analysis (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Neurology (733 citations), Infectious Diseases (735 citations), Biophysics (180 citations), Immunology (608 citations) and Biological Psychiatry (59 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 Zhao Xue, Qihui Shi, Jung-Woo Kim, Jiajun Du, Lu Wei, Dongkwan Lee and Guideng Li. Their work appears in journals such as Cell Reports, Nature Communications, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Cell.
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.