Guiting Lin

9.2k citations
186 papers · 7.2k · h-index 49

Impact in

Papers in

Guiting Lin

181 papers receiving 7.1k citations

Peers

Guiting Lin
Comparison fields: 5 of 132
  • Urology 1.3k
  • Psychiatry and Mental health 2.3k
  • Genetics 1.2k
  • Endocrinology, Diabetes and Metabolism 821
  • Surgery 1.5k
Replace Ching‐Shwun Lin with:
Ching‐Shwun Lin United States
Tom F. Lue United States
Lia Banie United States
Zhongcheng Xin China
Pedro Cuevas Spain
Patricia Gordon United States
Atsuhiko Kawamoto Japan
Noritoshi Nagaya Japan
J. E. Wraith United Kingdom
Søren P. Sheikh Denmark
Guiting Lin relative to Ching‐Shwun Lin United States Ching‐Shwun Lin's profile →
Citations per field
00.5×
Ching‐Shwun Lin · 1×
Citations per year

Countries citing papers authored by Guiting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Guiting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008320
2 2010225
3 2010207
4 2016185
5 2012179
6 2012161
7 2012159
8 2010152
9 2010145
10 2006141
11 2011135
12 2006130
13 2016125
14 2016122
15 2006120
16 2009115
17 2010109
18 2009103
19 201098
20 200395

About Guiting Lin

Guiting Lin is a scholar working on Psychiatry and Mental health, Surgery, Urology, Rheumatology and Molecular Biology, having authored 186 papers that have together received 7.2k indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (57 papers), Pelvic floor disorders treatments (19 papers), Tissue Engineering and Regenerative Medicine (19 papers), Urological Disorders and Treatments (16 papers), Urinary Bladder and Prostate Research (12 papers), Mesenchymal stem cell research (12 papers), Tendon Structure and Treatment (11 papers) and Nerve injury and regeneration (8 papers). The work is most often cited by research in Urology (1.3k citations), Psychiatry and Mental health (2.3k citations), Genetics (1.2k citations), Endocrinology, Diabetes and Metabolism (821 citations) and Surgery (1.5k citations). Guiting Lin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ching‐Shwun Lin, Tom F. Lue, Hongxiu Ning, Tom F. Lue, Lia Banie, Zhongcheng Xin, Thomas M. Fandel, Guifang Wang, A.W. Shindel and Maarten Albersen. Their work appears in journals such as The Journal of Sexual Medicine, The Journal of Urology, Urology, British Journal of Urology and Stem Cells and Development.

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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