Shun‐Fu Tseng
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 6
- Biological Psychiatry top 5%
- Physiology top 5%
- Telomeres, Telomerase, and Senescence 8
- Molecular Biology top 5%
- DNA Repair Mechanisms 11
- CRISPR and Genetic Engineering 3
- Nuclear Structure and Function 2
- Fungal and yeast genetics research 2
- Pharmacology top 5%
- Fungal Biology and Applications 3
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- Pneumonia and Respiratory Infections 2
- Co-authors
- John Ding‐E YoungHsin‐Chih LaiYun‐Fei KoChia‐Chen LuJan MartelDavid M. OjciusChuan-Sheng LinChih‐Jung Chang
- Cited by
- AgingBiological PsychiatryPhysiology
- Journals
- Nucleic Acids Research (3 papers)Journal of Biological Chemistry (3 papers)Nature Communications (3 papers)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Shun‐Fu Tseng
22 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Aging 103
- Biological Psychiatry 108
- Physiology 609
- Molecular Biology 1.4k
- Pharmacology 327
Countries citing papers authored by Shun‐Fu Tseng
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 7 | |
| 2 | 2017 | 25 | |
| 3 | 2017 | 32 | |
| 4 | 2017 | 11 | |
| 5 | 2016 | 223 | |
| 6 | Ganoderma lucidum reduces obesity in mice by modulating the composition of the gut microbiotabreakdown → | 2015 | 1060 |
| 7 | 2014 | 23 | |
| 8 | 2013 | 22 | |
| 9 | 2010 | 3 | |
| 10 | 2009 | 33 | |
| 11 | 2008 | 20 | |
| 12 | 2006 | 41 | |
| 13 | 2006 | 1 | |
| 14 | 2006 | 2 | |
| 15 | 2006 | 98 | |
| 16 | 2006 | 47 | |
| 17 | 2005 | 87 | |
| 18 | 2005 | 39 | |
| 19 | 2004 | 52 | |
| 20 | 2002 | 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), 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.