Shin‐Yu Lin

2.4k citations
102 papers · 1.7k · h-index 22

Impact in

Papers in

Shin‐Yu Lin

100 papers receiving 1.7k citations

Peers

Shin‐Yu Lin
Comparison fields: 5 of 136
  • Obstetrics and Gynecology 426
  • Pediatrics, Perinatology and Child Health 611
  • Toxicology 45
  • Genetics 291
  • Endocrinology, Diabetes and Metabolism 169
Replace R. W. Smithells with:
R. W. Smithells United Kingdom
Richard E. Buller United States
Peter Donovan Australia
David K. Walmer United States
Tibor Nyári Hungary
Charles Fournier France
David R. Doody United States
Peter Mallmann Germany
Curt W. Burger Netherlands
Robert Welch United States
Shin‐Yu Lin relative to R. W. Smithells United Kingdom R. W. Smithells's profile →
Citations per field
00.5×4.8×
R. W. Smithells · 1×
Citations per year

Countries citing papers authored by Shin‐Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shin‐Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009176
2 2012119
3 200689
4 200289
5 201087
6 201171
7 201167
8 201956
9 201950
10 201744
11 201636
12 201135
13 200834
14 201930
15 201228
16 201827
17 201126
18 201725
19 200925
20 200623

About Shin‐Yu Lin

Shin‐Yu Lin is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Obstetrics and Gynecology, Genetics and Epidemiology, having authored 102 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (18 papers), Gestational Diabetes Research and Management (13 papers), Pregnancy and preeclampsia studies (13 papers), Genomic variations and chromosomal abnormalities (12 papers), Birth, Development, and Health (9 papers), Maternal and Perinatal Health Interventions (9 papers), Maternal and fetal healthcare (8 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Obstetrics and Gynecology (426 citations), Pediatrics, Perinatology and Child Health (611 citations), Toxicology (45 citations), Genetics (291 citations) and Endocrinology, Diabetes and Metabolism (169 citations). Shin‐Yu Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chien‐Nan Lee, Jin‐Chung Shih, Ming‐Kwang Shyu, Hung‐Yuan Li, Yi‐Ning Su, Yun Su, Chia‐Hua Lin, José M. Palacios‐Jaraquemada, Chien‐Huang Lin and Kevin J. Kubarych. Their work appears in journals such as PLoS ONE, Frontiers in Genetics, Analytical Biochemistry, BJOG An International Journal of Obstetrics & Gynaecology and Diabetes Research and Clinical Practice.

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.

Explore authors with similar magnitude of impact