Junya Yan
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cutaneous Melanoma Detection and Management
- Cancer Immunotherapy and Biomarkers
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- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
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- Melanoma and MAPK Pathways 11
- Epigenetics and DNA Methylation 3
- Oncology 19
- Cutaneous Melanoma Detection and Management 10
- Cancer Immunotherapy and Biomarkers 5
- CAR-T cell therapy research 3
- Co-authors
- Xiaowen Wu (21 shared papers)Jiayi Yu (20 shared papers)Tianxiao Xu (17 shared papers)Huan Yu (17 shared papers)Jie Dai (17 shared papers)Chuanliang Cui (15 shared papers)Zhihong Chi (17 shared papers)Jun Guo (16 shared papers)
In The Last Decade
Junya Yan
26 papers receiving 425 citations
Peers
Comparison fields: 5 of 73
- Oncology 234
- Cancer Research 97
- Immunology 94
- Molecular Biology 241
- Dermatology 15
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 | 140 | |
| 2 | 2019 | 43 | |
| 3 | 2017 | 29 | |
| 4 | 2017 | 24 | |
| 5 | 2018 | 23 | |
| 6 | 2018 | 21 | |
| 7 | 2017 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2017 | 17 | |
| 10 | 2017 | 14 | |
| 11 | 2017 | 13 | |
| 12 | 2018 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2024 | 3 |
About Junya Yan
Junya Yan is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 29 papers that have together received 428 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (11 papers), Cutaneous Melanoma Detection and Management (10 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Genomics and Diagnostics (5 papers), Immunotherapy and Immune Responses (5 papers), Epigenetics and DNA Methylation (3 papers), CAR-T cell therapy research (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Oncology (234 citations), Cancer Research (97 citations), Immunology (94 citations), Molecular Biology (241 citations) and Dermatology (15 citations). Junya Yan has collaborated with scholars based in China, Ethiopia and Hong Kong. Frequent co-authors include Xiaowen Wu, Jiayi Yu, Tianxiao Xu, Huan Yu, Jie Dai, Chuanliang Cui, Zhihong Chi, Jun Guo, Xinan Sheng and Lu Si. Their work appears in journals such as Frontiers in Oncology, Melanoma Research, Journal of Cancer Research and Clinical Oncology, Journal of Clinical Oncology and Journal of Cancer.
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.