Juan Tan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- MicroRNA in disease regulation 5
-
- RNA modifications and cancer 10
- Epigenetics and DNA Methylation 6
- Circular RNAs in diseases 5
- RNA and protein synthesis mechanisms 4
- Co-authors
- Yingjian SongYang LiuYaqi SongYu‐Suo TongXi‐Lei ZhouChao YangJing‐Yuan FangYingxuan Chen
- Journals
- The Journal of Pathology (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Nature Communications (2 papers)Tumor Biology (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Juan Tan
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 371
- Oncology 406
- Molecular Biology 896
- Pulmonary and Respiratory Medicine 294
- Geriatrics and Gerontology 25
Countries citing papers authored by Juan Tan
This map shows the geographic impact of Juan Tan'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 Juan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Tan more than expected).
Fields of papers citing papers by Juan Tan
This network shows the impact of papers produced by Juan Tan. 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 Juan Tan. The network helps show where Juan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Juan Tan, 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 | 2025 | 2 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 19 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 11 | |
| 13 | 2018 | 8 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 16 | |
| 16 | 2015 | 37 | |
| 17 | 2015 | 31 | |
| 18 | 2015 | 20 | |
| 19 | 2014 | 2 | |
| 20 | 2011 | 8 |
About Juan Tan
Juan Tan is a scholar working on Cancer Research, Molecular Biology, Oncology, Neurology and Infectious Diseases, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), Epigenetics and DNA Methylation (6 papers), Circular RNAs in diseases (5 papers), Prenatal Screening and Diagnostics (5 papers), Neuroblastoma Research and Treatments (5 papers), MicroRNA in disease regulation (5 papers), Ferroptosis and cancer prognosis (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Cancer Research (371 citations), Oncology (406 citations), Molecular Biology (896 citations), Pulmonary and Respiratory Medicine (294 citations) and Geriatrics and Gerontology (25 citations). Juan Tan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yingjian Song, Yang Liu, Yaqi Song, Yu‐Suo Tong, Xi‐Lei Zhou, Chao Yang, Jing‐Yuan Fang, Yingxuan Chen, Guanghui Wei and Shuangyan Ou. Their work appears in journals such as The Journal of Pathology, Frontiers in Cell and Developmental Biology, Nature Communications, Tumor Biology and Frontiers in Genetics.
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.