Yuting Tan
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 20
- Global Cancer Incidence and Screening 6
- Cancer Risks and Factors 6
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- Hepatocellular Carcinoma Treatment and Prognosis 6
- Co-authors
- Yong‐Bing Xiang (35 shared papers)Honglan Li (28 shared papers)Yuet Wai Kan (5 shared papers)Jiaming Wang (5 shared papers)Marcus O. Muench (2 shared papers)Ashley I. Beyer (2 shared papers)Jing Gao (6 shared papers)Fei Xie (2 shared papers)
- Journals
- International Journal of Cancer (6 papers)Frontiers in Cardiovascular Medicine (4 papers)BMC Infectious Diseases (4 papers)PLoS ONE (3 papers)Leukemia (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yuting Tan
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Genetics 99
- Hepatology 72
- Oncology 178
- Cancer Research 68
- Molecular Biology 299
Countries citing papers authored by Yuting Tan
This map shows the geographic impact of Yuting 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 Yuting Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Tan more than expected).
Fields of papers citing papers by Yuting Tan
This network shows the impact of papers produced by Yuting 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 Yuting Tan. The network helps show where Yuting Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 168 | |
| 2 | 2020 | 119 | |
| 3 | 2000 | 79 | |
| 4 | 2018 | 60 | |
| 5 | 2012 | 50 | |
| 6 | 2020 | 49 | |
| 7 | 2018 | 44 | |
| 8 | 2015 | 40 | |
| 9 | 2020 | 34 | |
| 10 | 2023 | 32 | |
| 11 | 2012 | 28 | |
| 12 | 2014 | 25 | |
| 13 | 2015 | 25 | |
| 14 | 2016 | 23 | |
| 15 | 2020 | 23 | |
| 16 | 2014 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 2013 | 16 | |
| 19 | 2016 | 16 | |
| 20 | 2020 | 15 |
About Yuting Tan
Yuting Tan is a scholar working on Oncology, Hepatology, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Cardiology and Cardiovascular Medicine, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (11 papers), Cardiovascular Function and Risk Factors (9 papers), Global Cancer Incidence and Screening (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Reproductive Physiology in Livestock (6 papers), Cancer Risks and Factors (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Genetics (99 citations), Hepatology (72 citations), Oncology (178 citations), Cancer Research (68 citations) and Molecular Biology (299 citations). Yuting Tan has collaborated with scholars based in China, United States and France. Frequent co-authors include Yong‐Bing Xiang, Honglan Li, Yuet Wai Kan, Jiaming Wang, Marcus O. Muench, Ashley I. Beyer, Jing Gao, Fei Xie, Lin Ye and Wanshui Yang. Their work appears in journals such as International Journal of Cancer, Frontiers in Cardiovascular Medicine, BMC Infectious Diseases, PLoS ONE and Leukemia.
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.