Min-Shung Lin

15 papers receiving 449 citations

Peers

Min-Shung Lin
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 114
  • Anesthesiology and Pain Medicine 23
  • Neurology 52
  • Pharmacology 26
  • Psychiatry and Mental health 42
Replace Per Ederoth with:
Per Ederoth Sweden
Yonghua Zhang China
Ta‐Liang Chen Taiwan
María del Carmen Fernández‐Moreno Spain
Neila N. Smith United States
Ujjaini Khanderia United States
Fernand Bertrand Canada
Paul Broadhurst United Kingdom
Guzal R. Abuzarova Russia
Uğur Aksu Türkiye
Min-Shung Lin relative to Per Ederoth Sweden Per Ederoth's profile →
Citations per field
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Per Ederoth · 1×
Citations per year

Countries citing papers authored by Min-Shung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Min-Shung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013119
2 2013108
3 200753
4 199234
5 201330
6 200530
7
Effects of epidural morphine and intramuscular diclofenac combination in postcesarean analgesia: a dose-range study.
199330
8 201619
9 201217
10 20147
11 19977
12 20095
13 20113
14 19873
15 20092

About Min-Shung Lin

Min-Shung Lin is a scholar working on Pharmacology, Surgery, Pediatrics, Perinatology and Child Health, Anesthesiology and Pain Medicine and Rehabilitation, having authored 15 papers that have together received 467 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Inflammatory mediators and NSAID effects (1 paper), Pediatric Pain Management Techniques (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Nausea and vomiting management (1 paper), Pain Management and Opioid Use (1 paper) and Stroke Rehabilitation and Recovery (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (114 citations), Anesthesiology and Pain Medicine (23 citations), Neurology (52 citations), Pharmacology (26 citations) and Psychiatry and Mental health (42 citations). Min-Shung Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yen‐Chieh Lee, Chia‐Hsuin Chang, Jou‐Wei Lin, Mei‐Shu Lai, Chin‐Hsien Lin, Chia‐Ti Tsai, Sheng‐Nan Chang, Ruey‐Meei Wu, John Jen Tai and Horng‐Huei Liou. Their work appears in journals such as Journal of Clinical Psychopharmacology, Annals of Pharmacotherapy, Pharmacogenomics, Drug Information Journal and Journal of Hypertension.

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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