Yuting Tan
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Epigenetics and DNA Methylation 3
- Oncology 9
- Colorectal Cancer Screening and Detection 3
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Yong‐Bing Xiang (32 shared papers)Honglan Li (25 shared papers)Jiaming Wang (4 shared papers)Yuet Wai Kan (3 shared papers)Ashley I. Beyer (2 shared papers)Marcus O. Muench (2 shared papers)Jing Gao (6 shared papers)Fei Xie (1 shared paper)
- Journals
- International Journal of Cancer (5 papers)BMC Infectious Diseases (4 papers)PLoS ONE (3 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yuting Tan
79 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 131
- Genetics 90
- Business and International Management 16
- Hepatology 53
- Oncology 156
- Cancer Research 80
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 156 | |
| 2 | 2020 | 110 | |
| 3 | 2000 | 74 | |
| 4 | 2018 | 56 | |
| 5 | 2012 | 47 | |
| 6 | 2020 | 43 | |
| 7 | 2015 | 39 | |
| 8 | 2018 | 39 | |
| 9 | 2020 | 29 | |
| 10 | 2012 | 27 | |
| 11 | 2023 | 26 | |
| 12 | 2014 | 25 | |
| 13 | 2015 | 25 | |
| 14 | 2016 | 21 | |
| 15 | 2020 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2014 | 16 | |
| 18 | 2016 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2013 | 14 |
About Yuting Tan
Yuting Tan is a scholar working on Molecular Biology, Oncology, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Genetic and phenotypic traits in livestock (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Epigenetics and DNA Methylation (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Genetics (90 citations), Business and International Management (16 citations), Hepatology (53 citations), Oncology (156 citations) and Cancer Research (80 citations). Yuting Tan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yong‐Bing Xiang, Honglan Li, Jiaming Wang, Yuet Wai Kan, Ashley I. Beyer, Marcus O. Muench, Jing Gao, Fei Xie, Lin Ye and Wanshui Yang. Their work appears in journals such as International Journal of Cancer, BMC Infectious Diseases, PLoS ONE, Cancer Epidemiology Biomarkers & Prevention and Proceedings of the National Academy of Sciences.
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.