Shun‐Fu Tseng

2.4k citations
23 papers · 1.9k indexed · 1 hit paper · h-index 15
Topics
DNA Repair Mechanisms (11 papers)Telomeres, Telomerase, and Senescence (8 papers)Genetics, Aging, and Longevity in Model Organisms (6 papers)

In The Last Decade

Shun‐Fu Tseng

22 papers receiving 1.9k citations

Hit Papers

Ganoderma lucidum reduces obesity in mice by modulating t...201520262018202220152505007501000

Peers

Shun‐Fu Tseng
Comparison fields: 5 of 104
  • Molecular Biology 1.4k
  • Physiology 609
  • Pharmacology 327
  • Plant Science 249
  • Epidemiology 165
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
00.5×4.5×
Fangli Ma · 1×
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 of co-authors of Shun‐Fu Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Fu Tseng. A scholar is included among the top collaborators of Shun‐Fu Tseng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shun‐Fu Tseng. Shun‐Fu Tseng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 25
3 32
4 11
5 223
6
Ganoderma lucidum reduces obesity in mice by modulating the composition of the gut microbiotabreakdown →
1060
7 23
8 22
9 3
10 33
11 20
12 41
13 1
14 2
15 98
16 47
17 87
18 39
19 52
20 52

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) and Genetics, Aging, and Longevity in Model Organisms (6 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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