Duan‐Jun Tan

755 citations
15 papers · 652 · h-index 10

Impact in

Papers in

    • Mitochondrial Function and Pathology 8
    • RNA modifications and cancer 4
    • Molecular Biology Techniques and Applications 3
    • Genomics and Phylogenetic Studies 2
    • Metabolomics and Mass Spectrometry Studies 2
    • ATP Synthase and ATPases Research 2
    • DNA Repair Mechanisms 1
    • Metabolism and Genetic Disorders 3

Duan‐Jun Tan

14 papers receiving 640 citations

Peers

Duan‐Jun Tan
Comparison fields: 5 of 66
  • Clinical Biochemistry 130
  • Cancer Research 187
  • Molecular Biology 551
  • Genetics 20
  • Genetics 40
Replace Federica Fazzini with:
Federica Fazzini Austria
Conny Dekker Netherlands
Pablo Herrero-Jimenez United States
W. Marston Linehan United States
Kevin Berendse Netherlands
Kristofor A. Olson United States
Yulia Korshunova United States
Y. Nishigaki Japan
Amy Smift Netherlands
Duan‐Jun Tan relative to Federica Fazzini Austria Federica Fazzini's profile →
Citations per field
00.5×10×20×29×
Federica Fazzini · 1×
Citations per year

Countries citing papers authored by Duan‐Jun Tan

Since Specialization
Citations

This map shows the geographic impact of Duan‐Jun 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 Duan‐Jun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duan‐Jun Tan more than expected).

Fields of papers citing papers by Duan‐Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duan‐Jun 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 Duan‐Jun Tan. The network helps show where Duan‐Jun Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Duan‐Jun 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 Duan‐Jun Tan Line = papers co-authored together Duan‐Jun Tan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Comprehensive scanning of somatic mitochondrial DNA mutations in breast cancer.
2002232
2 200284
3 200663
4 201153
5 200346
6 200444
7 200835
8 200430
9 200129
10 200621
11 20096
12 20044
13 20042
14
[Heteroplasmy: a common phenomenon of mitochondrial genome mutations in human tumor tissues].
20052
15 20061

About Duan‐Jun Tan

Duan‐Jun Tan is a scholar working on Molecular Biology, Clinical Biochemistry, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 15 papers that have together received 652 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), RNA modifications and cancer (4 papers), Metabolism and Genetic Disorders (3 papers), Molecular Biology Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), ATP Synthase and ATPases Research (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Clinical Biochemistry (130 citations), Cancer Research (187 citations), Molecular Biology (551 citations), Genetics (20 citations) and Genetics (40 citations). Duan‐Jun Tan has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Lee‐Jun C. Wong, Renkui Bai, Julia Chang, Kun‐Tu Yeh, Haeyoung Kwon, Tianjian Chen, John Park, Lingling Liu, Yu‐Fen Wang and Jyh‐Feng Lu. Their work appears in journals such as Clinical Chemistry, Genes Chromosomes and Cancer, Toxicology, Journal of Oncology and Breast Cancer Research and Treatment.

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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