Shuan‐Pei Lin

3.5k total citations
163 papers, 2.1k citations indexed

About

Shuan‐Pei Lin is a scholar working on Genetics, Physiology and Molecular Biology. According to data from OpenAlex, Shuan‐Pei Lin has authored 163 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Genetics, 47 papers in Physiology and 46 papers in Molecular Biology. Recurrent topics in Shuan‐Pei Lin's work include Lysosomal Storage Disorders Research (44 papers), Genomic variations and chromosomal abnormalities (31 papers) and Prenatal Screening and Diagnostics (24 papers). Shuan‐Pei Lin is often cited by papers focused on Lysosomal Storage Disorders Research (44 papers), Genomic variations and chromosomal abnormalities (31 papers) and Prenatal Screening and Diagnostics (24 papers). Shuan‐Pei Lin collaborates with scholars based in Taiwan, United States and United Kingdom. Shuan‐Pei Lin's co-authors include Chih‐Kuang Chuang, Hsiang‐Yu Lin, Ming‐Ren Chen, Dau‐Ming Niu, Chih‐Ping Chen, Wayseen Wang, Hung‐Chang Lee, Schu‐Rern Chern, Chao Huang and Tuen-Jen Wang and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shuan‐Pei Lin

159 papers receiving 2.0k citations

Peers

Shuan‐Pei Lin
Comparison fields: 5 of 124
  • Physiology 683
  • Genetics 609
  • Molecular Biology 593
  • Epidemiology 415
  • Surgery 332
Replace Allan M. Lund with:
Allan M. Lund Denmark
Daniela Concolino Italy
Ronen Spiegel Israel
Osamu Yoshino Japan
Mei Li China
Dominique Bozon France
Chih‐Chao Yang Taiwan
Gaetano Calı̀ Italy
Marie‐Sylvie Gross France
Bridget E. Bax United Kingdom
Allan M. Lund Denmark View profile →
Citations per field, relative to Shuan‐Pei Lin
Shuan‐Pei Lin · 1×
Citations per year, relative to Shuan‐Pei Lin
Shuan‐Pei Lin · 1×

Countries citing papers authored by Shuan‐Pei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shuan‐Pei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuan‐Pei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shuan‐Pei Lin. A scholar is included among the top collaborators of Shuan‐Pei 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 Shuan‐Pei Lin. Shuan‐Pei 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
# Work Indexed citations
1 4
2 2
3 2
4 9
5 9
6 2
7 26
8 11
9 32
10 14
11 5
12 5
13 9
14 2
15 12
16 58
17 32
18 36
19 23
20 23

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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