Jun Ye
Impact in
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- Immune cells in cancer
- Immune Cell Function and Interaction
- Atherosclerosis and Cardiovascular Diseases
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- Cancer-related molecular mechanisms research
Papers in
- Immunology 11
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 4
- Complement system in diseases 3
- T-cell and B-cell Immunology 2
- Atherosclerosis and Cardiovascular Diseases 2
- Co-authors
- Peng Yang (1 shared paper)Yili Yang (1 shared paper)Min Sha (1 shared paper)Kun Zhou (1 shared paper)Chi Zhang (1 shared paper)Hui Guo (1 shared paper)Zhiyuan Zhang (1 shared paper)Cheng Shen (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Journal of Nanobiotechnology (2 papers)Scientific Reports (1 paper)Oncology Reports (1 paper)OncoTargets and Therapy (1 paper)
- Partner nations
- China
In The Last Decade
Jun Ye
18 papers receiving 136 citations
Peers
Comparison fields: 5 of 66
- Immunology 46
- Cancer Research 31
- General Decision Sciences 2
- Biological Psychiatry 2
- Molecular Biology 53
Countries citing papers authored by Jun Ye
This map shows the geographic impact of Jun 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 Jun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ye more than expected).
Fields of papers citing papers by Jun Ye
This network shows the impact of papers produced by Jun 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 Jun Ye. The network helps show where Jun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 | 2015 | 29 | |
| 2 | 2022 | 21 | |
| 3 | 2019 | 15 | |
| 4 | 2020 | 14 | |
| 5 | 2022 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 6 | |
| 9 | Increased endocytic activity in monocyte-derived dendritic cells in patients with psoriasis vulgaris. | 2006 | 6 |
| 10 | 2025 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 4 | |
| 13 | 2024 | 3 | |
| 14 | Utility of genetic variants to predict prognosis in coronary artery disease patients receiving statin treatment. | 2017 | 3 |
| 15 | 2011 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 |
About Jun Ye
Jun Ye is a scholar working on Immunology, Molecular Biology, Surgery, Oncology and Epidemiology, having authored 19 papers that have together received 138 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), Complement system in diseases (3 papers), Nanoplatforms for cancer theranostics (2 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Immunology (46 citations), Cancer Research (31 citations), General Decision Sciences (2 citations), Biological Psychiatry (2 citations) and Molecular Biology (53 citations). Jun Ye has collaborated with scholars based in China. Frequent co-authors include Peng Yang, Yili Yang, Min Sha, Kun Zhou, Chi Zhang, Hui Guo, Zhiyuan Zhang, Cheng Shen, Bin Li and Ting Guo. Their work appears in journals such as Frontiers in Immunology, Journal of Nanobiotechnology, Scientific Reports, Oncology Reports and OncoTargets and Therapy.
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.