Weige Tan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
- RNA Research and Splicing
Papers in
-
- Circular RNAs in diseases 6
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 1
- Oncology 10
- Cancer Cells and Metastasis 7
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Chang Gong (11 shared papers)Gehao Liang (6 shared papers)Erwei Song (8 shared papers)Shaohua Qu (3 shared papers)Bodu Liu (3 shared papers)Zihao Liu (3 shared papers)Wenjing Zhong (3 shared papers)Yun Ling (2 shared papers)
- Journals
- Oncotarget (3 papers)The Oncologist (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Nature Communications (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- ChinaUnited KingdomFrance
In The Last Decade
Weige Tan
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 71
- Cancer Research 698
- Molecular Biology 889
- Oncology 154
- Immunology 56
- Pathology and Forensic Medicine 38
Countries citing papers authored by Weige Tan
This map shows the geographic impact of Weige 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 Weige Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weige Tan more than expected).
Fields of papers citing papers by Weige Tan
This network shows the impact of papers produced by Weige 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 Weige Tan. The network helps show where Weige Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weige 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 271 | |
| 2 | 2020 | 196 | |
| 3 | 2017 | 161 | |
| 4 | 2014 | 89 | |
| 5 | 2018 | 70 | |
| 6 | 2019 | 55 | |
| 7 | 2019 | 53 | |
| 8 | 2016 | 44 | |
| 9 | 2017 | 40 | |
| 10 | 2016 | 34 | |
| 11 | 2015 | 33 | |
| 12 | 2019 | 32 | |
| 13 | 2023 | 29 | |
| 14 | 2024 | 26 | |
| 15 | 2019 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2019 | 18 | |
| 18 | 2016 | 10 | |
| 19 | 2019 | 8 | |
| 20 | 2024 | 6 |
About Weige Tan
Weige Tan is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (3 papers), Breast Cancer Treatment Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Epigenetics and DNA Methylation (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (698 citations), Molecular Biology (889 citations), Oncology (154 citations), Immunology (56 citations) and Pathology and Forensic Medicine (38 citations). Weige Tan has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Chang Gong, Gehao Liang, Erwei Song, Shaohua Qu, Bodu Liu, Zihao Liu, Wenjing Zhong, Yun Ling, You Zhou and Wei Luo. Their work appears in journals such as Oncotarget, The Oncologist, Journal of Cellular and Molecular Medicine, Nature Communications and International 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.