Tony Tsai

2.1k citations
17 papers · 1.4k indexed · 1 hit paper · h-index 13
Topics
Gene Regulatory Network Analysis (4 papers)Cellular Mechanics and Interactions (4 papers)Zebrafish Biomedical Research Applications (3 papers)

In The Last Decade

Tony Tsai

16 papers receiving 1.4k citations

Hit Papers

Robust, Tunable Biological Oscillations from Interlinked ...20082026201420202008100200300400500

Peers

Tony Tsai
Comparison fields: 5 of 111
  • Molecular Biology 854
  • Cell Biology 298
  • Plant Science 256
  • Endocrine and Autonomic Systems 226
  • Cellular and Molecular Neuroscience 205
Replace Qiong Yang with:
Qiong Yang United States
Paul François Canada
Joseph R. Pomerening United States
Kevin Thurley Germany
Luis G. Morelli Germany
Lea Goentoro United States
David M. Suter Switzerland
Akihiro Isomura Japan
Claire V. Harper United Kingdom
James E. Ferrell United States
Tony Tsai relative to Qiong Yang United States Qiong Yang's profile →
Citations per field
00.5×1.5×1.8×
Qiong Yang · 1×
Citations per year

Countries citing papers authored by Tony Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Tony Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Tony Tsai. A scholar is included among the top collaborators of Tony Tsai 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 Tony Tsai. Tony Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 1
3 32
4 63
5 92
6 50
7 4
8 20
9 63
10 267
11 11
12
Robust, Tunable Biological Oscillations from Interlinked Positive and Negative Feedback Loopsbreakdown →
538
13 34
14 58
15 13
16 50
17 129

About Tony Tsai

Tony Tsai is a scholar working on Cell Biology, Biophysics and Endocrine and Autonomic Systems, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Cellular Mechanics and Interactions (4 papers) and Zebrafish Biomedical Research Applications (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (226 citations), Aging (49 citations) and Biophysics (105 citations). Tony Tsai has collaborated with scholars based in United States, Austria and South Korea. Frequent co-authors include James E. Ferrell, Wenzhe Ma, Yoon Sup Choi, Joseph R. Pomerening, Chao Tang, James E. Ferrell, Qiong Yang, Steven M. Reppert, Alfred L. Roca and Sean G. Megason. Their work appears in journals such as Science, Cell and Neuron.

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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