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
- RNA Research and Splicing
- Extracellular vesicles in disease
Papers in ⓘ
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 6
- Breast Cancer Treatment Studies 4
- Cancer Genomics and Diagnostics 3
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- Circular RNAs in diseases 6
- Epigenetics and DNA Methylation 2
- Co-authors
- Chang Gong (10 shared papers)Gehao Liang (6 shared papers)Erwei Song (7 shared papers)Bodu Liu (3 shared papers)Shaohua Qu (3 shared papers)Wenjing Zhong (3 shared papers)Zihao Liu (3 shared papers)You Zhou (2 shared papers)
- Journals
- Oncotarget (3 papers)The Oncologist (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Cell Death Discovery (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited KingdomFrance
In The Last Decade
Weige Tan
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 849
- Molecular Biology 951
- Oncology 198
- Pathology and Forensic Medicine 58
- Immunology 63
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 268 | |
| 2 | 2020 | 189 | |
| 3 | 2017 | 162 | |
| 4 | 2014 | 87 | |
| 5 | 2018 | 69 | |
| 6 | 2019 | 54 | |
| 7 | 2019 | 52 | |
| 8 | 2016 | 44 | |
| 9 | 2017 | 40 | |
| 10 | 2016 | 34 | |
| 11 | 2015 | 33 | |
| 12 | 2019 | 31 | |
| 13 | 2023 | 27 | |
| 14 | 2024 | 25 | |
| 15 | 2016 | 20 | |
| 16 | 2019 | 19 | |
| 17 | 2019 | 17 | |
| 18 | 2016 | 10 | |
| 19 | 2019 | 8 | |
| 20 | 2024 | 5 |
About Weige Tan
Weige Tan is a scholar working on Cancer Research, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Cancer Cells and Metastasis (8 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers), Breast Cancer Treatment Studies (4 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (849 citations), Molecular Biology (951 citations), Oncology (198 citations), Pathology and Forensic Medicine (58 citations) and Immunology (63 citations). Weige Tan has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Chang Gong, Gehao Liang, Erwei Song, Bodu Liu, Shaohua Qu, Wenjing Zhong, Zihao Liu, You Zhou, Yun Ling and Wei Luo. Their work appears in journals such as Oncotarget, The Oncologist, Journal of Cellular and Molecular Medicine, Cell Death Discovery and Cell Death and Disease.
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.