Junya Yan
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cutaneous Melanoma Detection and Management
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
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- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
Papers in
- Oncology 17
- Cutaneous Melanoma Detection and Management 10
- Cancer Immunotherapy and Biomarkers 4
- Inflammatory Biomarkers in Disease Prognosis 2
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- Melanoma and MAPK Pathways 10
- Epigenetics and DNA Methylation 2
- Co-authors
- Xiaowen Wu (21 shared papers)Jiayi Yu (20 shared papers)Jie Dai (17 shared papers)Huan Yu (17 shared papers)Tianxiao Xu (17 shared papers)Zhihong Chi (17 shared papers)Chuanliang Cui (15 shared papers)Lu Si (16 shared papers)
In The Last Decade
Junya Yan
26 papers receiving 443 citations
Peers
Comparison fields: 5 of 67
- Oncology 211
- Cancer Research 80
- Immunology 79
- Molecular Biology 207
- Dermatology 14
Countries citing papers authored by Junya Yan
This map shows the geographic impact of Junya Yan'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 Junya Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Yan more than expected).
Fields of papers citing papers by Junya Yan
This network shows the impact of papers produced by Junya Yan. 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 Junya Yan. The network helps show where Junya Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junya Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 150 | |
| 2 | 2019 | 43 | |
| 3 | 2017 | 29 | |
| 4 | 2017 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2018 | 22 | |
| 7 | 2017 | 20 | |
| 8 | 2017 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2017 | 14 | |
| 11 | 2017 | 13 | |
| 12 | 2022 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 3 |
About Junya Yan
Junya Yan is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 445 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (10 papers), Melanoma and MAPK Pathways (10 papers), Cancer Genomics and Diagnostics (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Epigenetics and DNA Methylation (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Oncology (211 citations), Cancer Research (80 citations), Immunology (79 citations), Molecular Biology (207 citations) and Dermatology (14 citations). Junya Yan has collaborated with scholars based in China, Ethiopia and Hong Kong. Frequent co-authors include Xiaowen Wu, Jiayi Yu, Jie Dai, Huan Yu, Tianxiao Xu, Zhihong Chi, Chuanliang Cui, Lu Si, Jun Guo and Xinan Sheng. Their work appears in journals such as Frontiers in Oncology, Melanoma Research, Journal of Cancer Research and Clinical Oncology, Journal of Cancer and Journal of Clinical Oncology.
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.