Chun Ye
- Immunology top 1%
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 10
- Oncology top 1%
- CAR-T cell therapy research 10
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics 27
- Gut microbiota and health 11
- CRISPR and Genetic Engineering 9
- Genetics top 1%
- Genetic Associations and Epidemiology 8
-
- Microbial infections and disease research 10
- Co-authors
- Alexander MarsonRuzhong ZuoXusheng FangRachel E. GateKathrin SchumannMeena SubramaniamNoah ZaitlenKole T. Roybal
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Chun Ye
194 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Immunology 2.4k
- Oncology 2.0k
- Molecular Biology 3.7k
- Business and International Management 97
- Genetics 1.3k
Countries citing papers authored by Chun Ye
This map shows the geographic impact of Chun 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 Chun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Ye more than expected).
Fields of papers citing papers by Chun Ye
This network shows the impact of papers produced by Chun 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 Chun Ye. The network helps show where Chun Ye may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chun 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 10 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 19 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 12 | |
| 14 | Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune diseasebreakdown → | 2022 | 228 |
| 15 | 2022 | 22 | |
| 16 | 2021 | 107 | |
| 17 | 2019 | 14 | |
| 18 | Generation of knock-in primary human T cells using Cas9 ribonucleoproteinsbreakdown → | 2015 | 533 |
| 19 | 2012 | 6 | |
| 20 | 2007 | 2 |
About Chun Ye
Chun Ye is a scholar working on Immunology, Microbiology and Computational Mathematics, having authored 210 papers that have together received 8.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (27 papers), Immune Cell Function and Interaction (15 papers), Gut microbiota and health (11 papers), Microbial infections and disease research (10 papers), CAR-T cell therapy research (10 papers), T-cell and B-cell Immunology (10 papers), CRISPR and Genetic Engineering (9 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Immunology (2.4k citations), Oncology (2.0k citations) and Molecular Biology (3.7k citations). Chun Ye has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Alexander Marson, Ruzhong Zuo, Xusheng Fang, Rachel E. Gate, Kathrin Schumann, Meena Subramaniam, Noah Zaitlen, Kole T. Roybal, Levi J. Rupp and Wendell A. Lim. Their work appears in journals such as Cell, Nature Communications, Genome biology, Nature Genetics and Nature Biotechnology.
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.