Peiying Ye
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 3
- Immune cells in cancer 2
-
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Pan Zheng (8 shared papers)Yang Liu (8 shared papers)Fei Tang (5 shared papers)Peng Zhang (5 shared papers)Xuexiang Du (2 shared papers)Juanjuan Su (2 shared papers)Martin Devenport (2 shared papers)Xu Wang (2 shared papers)
- Journals
- Cell Research (2 papers)Cellular and Molecular Immunology (2 papers)Protein & Cell (1 paper)Nature Communications (1 paper)Molecular Cell (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Peiying Ye
15 papers receiving 516 citations
Peers
Comparison fields: 5 of 73
- Immunology 243
- Oncology 263
- Cancer Research 64
- Molecular Biology 171
- Aging 3
Countries citing papers authored by Peiying Ye
This map shows the geographic impact of Peiying Ye'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 Peiying Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiying Ye more than expected).
Fields of papers citing papers by Peiying Ye
This network shows the impact of papers produced by Peiying Ye. 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 Peiying Ye. The network helps show where Peiying Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Peiying Ye, 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 | 2018 | 185 | |
| 2 | 2018 | 97 | |
| 3 | 2015 | 70 | |
| 4 | 2015 | 59 | |
| 5 | 2010 | 41 | |
| 6 | 2018 | 21 | |
| 7 | 2018 | 16 | |
| 8 | 2022 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2017 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2011 | 2 | |
| 15 | 2016 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2023 | 0 |
About Peiying Ye
Peiying Ye is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Cancer Research, having authored 17 papers that have together received 525 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune cells in cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Ubiquitin and proteasome pathways (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (243 citations), Oncology (263 citations), Cancer Research (64 citations), Molecular Biology (171 citations) and Aging (3 citations). Peiying Ye has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Pan Zheng, Yang Liu, Fei Tang, Peng Zhang, Xuexiang Du, Juanjuan Su, Martin Devenport, Xu Wang, Wei Wu and Mingyue Liu. Their work appears in journals such as Cell Research, Cellular and Molecular Immunology, Protein & Cell, Nature Communications and Molecular 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.