Junli Yu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Reproductive System and Pregnancy
- Immunotherapy and Immune Responses
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
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- Ginseng Biological Effects and Applications 3
- Ubiquitin and proteasome pathways 1
- Melanoma and MAPK Pathways 1
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- Katharine C. Hsu (2 shared papers)Sung‐Jin Kim (1 shared paper)Wayne M. Yokoyama (1 shared paper)Glenn Heller (1 shared paper)Joseph H. Chewning (1 shared paper)James Pring (1 shared paper)Richard J. O’Reilly (1 shared paper)Jeffrey M. Venstrom (1 shared paper)
- Journals
- Blood (1 paper)Vacuum (1 paper)The Journal of Immunology (1 paper)Buildings (1 paper)Planta Medica (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Junli Yu
10 papers receiving 358 citations
Peers
Comparison fields: 5 of 50
- Immunology 269
- Hematology 79
- Oncology 65
- Pharmacology 17
- Microbiology 10
Countries citing papers authored by Junli Yu
This map shows the geographic impact of Junli Yu'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 Junli Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Yu more than expected).
Fields of papers citing papers by Junli Yu
This network shows the impact of papers produced by Junli Yu. 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 Junli Yu. The network helps show where Junli Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli Yu, 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 | 2007 | 157 | |
| 2 | 2009 | 103 | |
| 3 | 2007 | 24 | |
| 4 | 2005 | 24 | |
| 5 | 2004 | 18 | |
| 6 | Ginsenoside-Ro enhances cell proliferation and modulates Th1/Th2 cytokines production in murine splenocytes. | 2005 | 10 |
| 7 | Immunoenhancing activity of protopanaxatriol-type ginsenoside-F3 in murine spleen cells. | 2004 | 10 |
| 8 | 2018 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2025 | 1 |
About Junli Yu
Junli Yu is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Pathology and Forensic Medicine and Health, Toxicology and Mutagenesis, having authored 10 papers that have together received 364 indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), ZnO doping and properties (1 paper), Cancer Mechanisms and Therapy (1 paper), Ubiquitin and proteasome pathways (1 paper), Advanced Photocatalysis Techniques (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Immunology (269 citations), Hematology (79 citations), Oncology (65 citations), Pharmacology (17 citations) and Microbiology (10 citations). Junli Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Katharine C. Hsu, Sung‐Jin Kim, Wayne M. Yokoyama, Glenn Heller, Joseph H. Chewning, James Pring, Richard J. O’Reilly, Jeffrey M. Venstrom, Xiaorong Liu and Gui-Fang Cheng. Their work appears in journals such as Blood, Vacuum, The Journal of Immunology, Buildings and Planta Medica.
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.