Miduo Tan
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Circular RNAs in diseases 2
- Molecular Biology Techniques and Applications 2
- Epigenetics and DNA Methylation 2
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- Autophagy in Disease and Therapy 7
- Co-authors
- Yuan Liu (1 shared paper)Zhu Chen (1 shared paper)Elingarami Sauli (1 shared paper)Yan Deng (1 shared paper)Wen Li (1 shared paper)Nongyue He (1 shared paper)Huifeng Pi (7 shared papers)Ziyu He (1 shared paper)
- Journals
- Free Radical Research (3 papers)Ecotoxicology and Environmental Safety (2 papers)Environment International (1 paper)Cell Proliferation (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesTanzania
In The Last Decade
Miduo Tan
21 papers receiving 687 citations
Peers
Comparison fields: 5 of 92
- Geriatrics and Gerontology 31
- Cancer Research 136
- Health, Toxicology and Mutagenesis 70
- Molecular Biology 343
- Epidemiology 136
Countries citing papers authored by Miduo Tan
This map shows the geographic impact of Miduo 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 Miduo Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miduo Tan more than expected).
Fields of papers citing papers by Miduo Tan
This network shows the impact of papers produced by Miduo 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 Miduo Tan. The network helps show where Miduo Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Miduo 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 153 | |
| 2 | 2017 | 72 | |
| 3 | 2016 | 59 | |
| 4 | 2015 | 52 | |
| 5 | 2020 | 41 | |
| 6 | 2018 | 40 | |
| 7 | 2021 | 37 | |
| 8 | 2019 | 32 | |
| 9 | 2021 | 28 | |
| 10 | 2017 | 27 | |
| 11 | 2022 | 25 | |
| 12 | 2018 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2023 | 20 | |
| 15 | 2022 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 8 | |
| 19 | 2020 | 5 | |
| 20 | Construction and validation of an eight pyroptosis-related lncRNA risk model for breast cancer. | 2022 | 5 |
About Miduo Tan
Miduo Tan is a scholar working on Molecular Biology, Epidemiology, Health, Toxicology and Mutagenesis, Cancer Research and Biomedical Engineering, having authored 23 papers that have together received 692 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), MicroRNA in disease regulation (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Circular RNAs in diseases (2 papers), Molecular Biology Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Epigenetics and DNA Methylation (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Geriatrics and Gerontology (31 citations), Cancer Research (136 citations), Health, Toxicology and Mutagenesis (70 citations), Molecular Biology (343 citations) and Epidemiology (136 citations). Miduo Tan has collaborated with scholars based in China, United States and Tanzania. Frequent co-authors include Yuan Liu, Zhu Chen, Elingarami Sauli, Yan Deng, Wen Li, Nongyue He, Huifeng Pi, Ziyu He, Taotao Li and Li Song. Their work appears in journals such as Free Radical Research, Ecotoxicology and Environmental Safety, Environment International, Cell Proliferation and Biochemical and Biophysical Research Communications.
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.