Dar‐Shong Lin

4.1k citations
43 papers · 1.1k · h-index 22

Impact in

Papers in

    • Lysosomal Storage Disorders Research 11
    • RNA regulation and disease 4
    • Ubiquitin and proteasome pathways 3

Dar‐Shong Lin

43 papers receiving 1.1k citations

Peers

Dar‐Shong Lin
Comparison fields: 5 of 104
  • Pediatrics, Perinatology and Child Health 237
  • Physiology 307
  • Urology 71
  • Cell Biology 134
  • Epidemiology 251
Replace J. François with:
J. François Belgium
Jiro Ono Japan
Kenzo Takeshita Japan
Sulman Basit Saudi Arabia
Frits C. de Beer United Kingdom
Béatrice Conne Switzerland
Claude Bendavid France
A. Hori Germany
Maria Luisa Tenchini Italy
Shigeo Tsukahara Japan
Dar‐Shong Lin relative to J. François Belgium J. François's profile →
Citations per field
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J. François · 1×
Citations per year

Countries citing papers authored by Dar‐Shong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dar‐Shong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dar‐Shong 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 Dar‐Shong Lin. The network helps show where Dar‐Shong Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000131
2 200686
3 200586
4 200670
5 201265
6 201956
7 201045
8 200043
9 200738
10 201134
11 199731
12 202229
13 200626
14 199925
15 200924
16 201923
17 201023
18 201723
19 201122
20 201122

About Dar‐Shong Lin

Dar‐Shong Lin is a scholar working on Physiology, Molecular Biology, Epidemiology, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (11 papers), EEG and Brain-Computer Interfaces (4 papers), Autophagy in Disease and Therapy (4 papers), RNA regulation and disease (4 papers), Connective tissue disorders research (4 papers), Ubiquitin and proteasome pathways (3 papers), Attention Deficit Hyperactivity Disorder (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (237 citations), Physiology (307 citations), Urology (71 citations), Cell Biology (134 citations) and Epidemiology (251 citations). Dar‐Shong Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chao Huang, Han‐Yang Hung, Che‐Sheng Ho, Chih‐Kuang Chuang, Hsiang‐Yu Lin, Beth Levy, Mark S. Sands, Carole Vogler, Chung‐Der Hsiao and Tsu‐Yen Wu. Their work appears in journals such as Cells, Molecular Therapy, Oncotarget, PLoS ONE and Gene.

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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