Jun Ye
Impact in
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- Immune cells in cancer
- Complement system in diseases
- Immune Cell Function and Interaction
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- Cancer-related molecular mechanisms research
Papers in
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- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Complement system in diseases 3
- Co-authors
- Peng Yang (1 shared paper)Yili Yang (1 shared paper)Kun Zhou (1 shared paper)Chi Zhang (1 shared paper)Min Sha (1 shared paper)Jiayi Zhang (1 shared paper)Ying� Qin (1 shared paper)Ting Guo (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Journal of Nanobiotechnology (2 papers)Marketing Letters (1 paper)OncoTargets and Therapy (1 paper)Immunological Investigations (1 paper)
- Partner nations
- China
In The Last Decade
Jun Ye
18 papers receiving 149 citations
Peers
Comparison fields: 5 of 68
- Immunology 40
- Cancer Research 20
- General Decision Sciences 2
- Biological Psychiatry 2
- Marketing 6
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 | 26 | |
| 3 | 2019 | 15 | |
| 4 | 2020 | 14 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2025 | 8 | |
| 8 | 2023 | 6 | |
| 9 | Increased endocytic activity in monocyte-derived dendritic cells in patients with psoriasis vulgaris. | 2006 | 6 |
| 10 | 2023 | 6 | |
| 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 | 2025 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2011 | 1 |
About Jun Ye
Jun Ye is a scholar working on Immunology, Molecular Biology, Surgery, Oncology and Epidemiology, having authored 18 papers that have together received 151 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Complement system in diseases (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Nanoplatforms for cancer theranostics (2 papers), Folate and B Vitamins Research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Immunology (40 citations), Cancer Research (20 citations), General Decision Sciences (2 citations), Biological Psychiatry (2 citations) and Marketing (6 citations). Jun Ye has collaborated with scholars based in China. Frequent co-authors include Peng Yang, Yili Yang, Kun Zhou, Chi Zhang, Min Sha, Jiayi Zhang, Ying� Qin, Ting Guo, Fang Wang and Ting Guo. Their work appears in journals such as Frontiers in Immunology, Journal of Nanobiotechnology, Marketing Letters, OncoTargets and Therapy and Immunological Investigations.
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.