Tsai‐Feng Fu

1.5k citations
34 papers · 1.1k indexed · h-index 17

Impact in

Papers in

Tsai‐Feng Fu

33 papers receiving 1.1k citations

Peers

Tsai‐Feng Fu
Comparison fields: 5 of 97
  • Aging 107
  • Cellular and Molecular Neuroscience 769
  • Endocrine and Autonomic Systems 129
  • Insect Science 166
  • Genetics 305
Replace Christopher J. Tabone with:
Christopher J. Tabone United States
Jason Sih-Yu Lai United States
Karen L Hibbard United States
Kevin Mann United States
Marco Gallio United States
Karen Erbguth Germany
Jiangnan Luo Sweden
Hiroshi Ishimoto Japan
Dennis Pauls Germany
Tsai‐Feng Fu relative to Christopher J. Tabone United States Christopher J. Tabone's profile →
Citations per field
00.5×1.6×
Christopher J. Tabone · 1×
Citations per year

Countries citing papers authored by Tsai‐Feng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Tsai‐Feng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202110
2 202013
3 202024
4 20177
5 20162
6 201624
7
Tequila Regulates Insulin-Like Signaling and Extends Life Span in Drosophila melanogaster
20151
8 201526
9 201521
10 201510
11 201522
12 201338
13 201327
14 2012123
15 20127
16 2011103
17 201014
18 201011
19 2007135
20 200353

About Tsai‐Feng Fu

Tsai‐Feng Fu is a scholar working on Aging, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (11 papers), Animal Behavior and Reproduction (8 papers), Circadian rhythm and melatonin (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Physiological and biochemical adaptations (6 papers), Cervical Cancer and HPV Research (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Aging (107 citations), Cellular and Molecular Neuroscience (769 citations), Endocrine and Autonomic Systems (129 citations), Insect Science (166 citations) and Genetics (305 citations). Tsai‐Feng Fu has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Ann‐Shyn Chiang, Chia‐Lin Wu, Tim Tully, Shouzhen Xia, Wei‐Yong Lin, Hsuan-Wen Lin, Minoru Saitoe, Tomoyuki Miyashita, Daniel J. Leong and Huaien Wang. Their work appears in journals such as PLoS ONE, Nature Communications, Proceedings of the National Academy of Sciences, PLoS Genetics and PLoS Biology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026