Yen Ting Lin

3.2k citations
46 papers · 1.6k indexed · 1 hit paper · h-index 15
Topics
Gene Regulatory Network Analysis (12 papers)Evolution and Genetic Dynamics (9 papers)COVID-19 epidemiological studies (6 papers)

In The Last Decade

Yen Ting Lin

40 papers receiving 1.6k citations

Hit Papers

High Contagiousness and Rapid Spread of Severe Acute Resp...20202026202220242020250500750

Peers

Yen Ting Lin
Comparison fields: 5 of 152
  • Infectious Diseases 523
  • Modeling and Simulation 522
  • Molecular Biology 396
  • Genetics 187
  • Economics and Econometrics 180
Replace Ethan Romero-Severson with:
Ethan Romero-Severson United States
Ruian Ke United States
Chris Wymant United Kingdom
Louise Dyson United Kingdom
Martin Eichner Germany
Eunok Jung South Korea
Edward Goldstein United States
Alison L. Hill United States
Nathanaël Hozé France
Ganna Rozhnova Netherlands
Yen Ting Lin relative to Ethan Romero-Severson United States Ethan Romero-Severson's profile →
Citations per field
00.5×1.5×2.2×
Ethan Romero-Severson · 1×
Citations per year

Countries citing papers authored by Yen Ting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yen Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen Ting Lin. 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 Yen Ting Lin. The network helps show where Yen Ting Lin may publish in the future.

Co-authorship network of co-authors of Yen Ting Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yen Ting Lin. A scholar is included among the top collaborators of Yen Ting Lin 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 Yen Ting Lin. Yen Ting Lin 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 0
2 0
3 0
4 5
5 0
6 8
7 0
8 5
9 12
10 7
11 6
12 25
13 11
14 8
15 28
16
Kinetic Description for Formation and Dissolution of Living Colonies
1
17 23
18 16
19 13
20 11

About Yen Ting Lin

Yen Ting Lin is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Metals and Alloys, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Evolution and Genetic Dynamics (9 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Modeling and Simulation (522 citations), Infectious Diseases (523 citations) and Health (163 citations). Yen Ting Lin has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ruian Ke, Steven Sanche, Ethan Romero-Severson, Chonggang Xu, Nicolas Hengartner, Tobias Galla, Charles R. Doering, Nicolas E. Buchler, Alan J. McKane and Daniel Livescu. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Journal of Clinical Oncology.

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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