Tien-chen Lin

636 citations
9 papers · 437 · h-index 8

Impact in

Papers in

    • Fungal and yeast genetics research 5
    • Protist diversity and phylogeny 3
    • Genomics and Chromatin Dynamics 2
    • 14-3-3 protein interactions 1
    • Microtubule and mitosis dynamics 7

Tien-chen Lin

9 papers receiving 436 citations

Peers

Tien-chen Lin
Comparison fields: 5 of 51
  • Cell Biology 337
  • Structural Biology 13
  • Developmental Neuroscience 26
  • Molecular Biology 360
  • Aging 6
Replace Olga I. Kahn with:
Olga I. Kahn Netherlands
Mickaël Machicoane France
Mara A. Olenick United States
Eva Karasmanis United States
Didier Job France
Seiichi Uchimura Japan
Jimok Yoon United States
Sonja Stenmark Sweden
Mara M. Wieser Switzerland
Chih-Wen Chu United States
Tien-chen Lin relative to Olga I. Kahn Netherlands Olga I. Kahn's profile →
Citations per field
00.5×3.3×
Olga I. Kahn · 1×
Citations per year

Countries citing papers authored by Tien-chen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tien-chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tien-chen 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 Tien-chen Lin. The network helps show where Tien-chen Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Tien-chen Lin, 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 Tien-chen Lin Line = papers co-authored together Tien-chen Lin links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201494
2 201471
3 202161
4 201547
5 201840
6 201440
7 201139
8 201639
9 20226

About Tien-chen Lin

Tien-chen Lin is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Infectious Diseases, having authored 9 papers that have together received 437 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Fungal and yeast genetics research (5 papers), Protist diversity and phylogeny (3 papers), Nerve injury and regeneration (2 papers), Genomics and Chromatin Dynamics (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Hereditary Neurological Disorders (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Cell Biology (337 citations), Structural Biology (13 citations), Developmental Neuroscience (26 citations), Molecular Biology (360 citations) and Aging (6 citations). Tien-chen Lin has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Annett Neuner, Annette Scharf, Wanlu Zhang, Ursula Jäkle, Peng Liu, Takumi Chinen, Diana Rüthnick, Robert A. Arkowitz, Susanne Schoch and Christian Benda. Their work appears in journals such as eLife, The Journal of Cell Biology, Brain Communications, Current Biology and Trends in Cell 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.

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