Shun‐Fu Tseng

2.4k citations
23 papers · 1.9k indexed · 1 hit paper · h-index 15
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms 6
  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence 8
    • DNA Repair Mechanisms 11
    • CRISPR and Genetic Engineering 3
    • Nuclear Structure and Function 2
    • Fungal and yeast genetics research 2
    • Fungal Biology and Applications 3
    • Pneumonia and Respiratory Infections 2

Shun‐Fu Tseng

22 papers receiving 1.9k citations

Hit Papers

Ganoderma lucidum reduces obesity in mice by modulating t...1.1k20152026201820222505007501000

Peers

Shun‐Fu Tseng
Comparison fields: 5 of 104
  • Aging 103
  • Biological Psychiatry 108
  • Physiology 609
  • Molecular Biology 1.4k
  • Pharmacology 327
Replace Fangli Ma with:
Fangli Ma China
Jin-Ju Jeong South Korea
Xavier Escoté Spain
Chang‐Kee Hyun South Korea
Eun‐Ha Joh South Korea
Jinghua Peng China
Roman Lang Germany
Raquel Muñoz-González Spain
Hsieh‐Hsun Ho Taiwan
Sae‐Rom Yoo South Korea
Shun‐Fu Tseng relative to Fangli Ma China Fangli Ma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shun‐Fu Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Fu Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun‐Fu Tseng. 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 Shun‐Fu Tseng. The network helps show where Shun‐Fu Tseng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20187
2 201725
3 201732
4 201711
5 2016223
6
Ganoderma lucidum reduces obesity in mice by modulating the composition of the gut microbiotabreakdown →
20151060
7 201423
8 201322
9 20103
10 200933
11 200820
12 200641
13 20061
14 20062
15 200698
16 200647
17 200587
18 200539
19 200452
20 200252

About Shun‐Fu Tseng

Shun‐Fu Tseng is a scholar working on Aging, Microbiology and Physiology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Telomeres, Telomerase, and Senescence (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), CRISPR and Genetic Engineering (3 papers), Fungal Biology and Applications (3 papers), Pneumonia and Respiratory Infections (2 papers), Nuclear Structure and Function (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Aging (103 citations), Biological Psychiatry (108 citations) and Physiology (609 citations). Shun‐Fu Tseng has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include John Ding‐E Young, Hsin‐Chih Lai, Yun‐Fei Ko, Chia‐Chen Lu, Jan Martel, David M. Ojcius, Chuan-Sheng Lin, Chih‐Jung Chang, Shu‐Chun Teng and Tsung-Ru Wu. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature 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.

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