Miduo Tan

904 citations
21 papers · 662 · h-index 15

Impact in

Papers in

    • Epigenetics and DNA Methylation 2
    • Molecular Biology Techniques and Applications 2
    • Circular RNAs in diseases 2
    • RNA modifications and cancer 2
    • Autophagy in Disease and Therapy 7

Miduo Tan

21 papers receiving 658 citations

Peers

Miduo Tan
Comparison fields: 5 of 94
  • Cancer Research 146
  • Geriatrics and Gerontology 36
  • Molecular Biology 365
  • Health, Toxicology and Mutagenesis 64
  • Epidemiology 151
Replace Zhenhua Ni with:
Zhenhua Ni China
Emilie Dubois‐Deruy France
Yuan Xie China
Guanghai Yan China
Ji‐Fan Lin Taiwan
Annie Turkieh France
Lakhan Kma India
Pelin Telkoparan‐Akillilar Türkiye
Qinghai Zhang China
Bonan Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Miduo Tan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Miduo Tan Line = papers co-authored together Miduo Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020142
2 201772
3 201657
4 201552
5 201840
6 202039
7 202136
8 201930
9 201727
10 202126
11 202224
12 201821
13 202120
14 202216
15 202316
16 202313
17 202011
18 20226
19 20205
20
Construction and validation of an eight pyroptosis-related lncRNA risk model for breast cancer.
20225

About Miduo Tan

Miduo Tan is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Health, Toxicology and Mutagenesis and Biomedical Engineering, having authored 21 papers that have together received 662 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), Epigenetics and DNA Methylation (2 papers), Cancer-related molecular mechanisms research (2 papers), Molecular Biology Techniques and Applications (2 papers), Circular RNAs in diseases (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (146 citations), Geriatrics and Gerontology (36 citations), Molecular Biology (365 citations), Health, Toxicology and Mutagenesis (64 citations) and Epidemiology (151 citations). Miduo Tan has collaborated with scholars based in China, United States and Tanzania. Frequent co-authors include Yuan Liu, Elingarami Sauli, Zhu Chen, Taotao Li, Ziyu He, Wen Li, Huifeng Pi, Nongyue He, Li Song and Yan Deng. Their work appears in journals such as Free Radical Research, Ecotoxicology and Environmental Safety, The Science of The Total Environment, Journal of Pineal Research and Journal of Biomedical Nanotechnology.

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.

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