Cheng-Hsin Lin

28 papers receiving 729 citations

Peers

Cheng-Hsin Lin
Comparison fields: 5 of 89
  • Genetics 123
  • Nephrology 57
  • Hepatology 48
  • Neurology 79
  • Cardiology and Cardiovascular Medicine 117
Replace Maria Rita Metelli with:
Maria Rita Metelli Italy
Rosario Cianci Italy
Hyun‐Jung Kim South Korea
Gary L. Baker United States
Takahiro Hayashi Japan
Susann Patschan Germany
Klaus Thürmel Germany
Michael Koziolek Germany
Josep M. Grau Spain
P. S. N. Menon India
Cheng-Hsin Lin relative to Maria Rita Metelli Italy Maria Rita Metelli's profile →
Citations per field
00.5×2.6×
Maria Rita Metelli · 1×
Citations per year

Countries citing papers authored by Cheng-Hsin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Hsin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201398
2 200866
3 201456
4 201154
5 200553
6 200952
7 200844
8 200942
9 201339
10 201138
11 201633
12 201230
13 200918
14 200918
15 201917
16 202117
17 200813
18 20149
19 20109
20 20147

About Cheng-Hsin Lin

Cheng-Hsin Lin is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 28 papers that have together received 748 indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (5 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Acute Ischemic Stroke Management (3 papers), Cardiovascular Function and Risk Factors (3 papers), Diabetes Management and Research (2 papers), Mesenchymal stem cell research (2 papers) and Surgical site infection prevention (2 papers). The work is most often cited by research in Genetics (123 citations), Nephrology (57 citations), Hepatology (48 citations), Neurology (79 citations) and Cardiology and Cardiovascular Medicine (117 citations). Cheng-Hsin Lin has collaborated with scholars based in Taiwan, Finland and United States. Frequent co-authors include Hung‐Yuan Li, Mao-Shin Lin, Lee‐Ming Chuang, Jung-Nan Wei, Ron-Bin Hsu, Hsien‐Li Kao, Bor‐Luen Chiang, Kenneth K. Wu, Chi‐Ming Lee and Wan-Tseng Hsu. Their work appears in journals such as Clinica Chimica Acta, Pediatric Diabetes, The Annals of Thoracic Surgery, Journal of Vascular Surgery and The Journal of Heart and Lung Transplantation.

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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