Chao‐Shun Lin

45 papers receiving 726 citations

Peers

Chao‐Shun Lin
Comparison fields: 5 of 104
  • Health Informatics 16
  • Anesthesiology and Pain Medicine 57
  • Critical Care and Intensive Care Medicine 33
  • Orthopedics and Sports Medicine 49
  • Cardiology and Cardiovascular Medicine 106
Replace Kook Hyun Lee with:
Kook Hyun Lee South Korea
Doaa El Amrousy Egypt
Markus A. Küper Germany
Hirofumi Tsugeno Japan
Patrick A. Ross United States
Wolf H. Stapelfeldt United States
Kari Kuttila Finland
David J. Bronster United States
Harold G. Olson United States
C Montemartini Italy
Chao‐Shun Lin relative to Kook Hyun Lee South Korea Kook Hyun Lee's profile →
Citations per field
00.5×10×16.3×
Kook Hyun Lee · 1×
Citations per year

Countries citing papers authored by Chao‐Shun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Shun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201478
2 201848
3 202237
4 200835
5 202030
6 200227
7 201326
8 201025
9 201922
10 201522
11
Neural network modeling to predict the hypnotic effect of propofol bolus induction.
200221
12 201720
13 201619
14 201719
15 201717
16 200217
17 201917
18
EEG-bispectral index changes with ketamine versus thiamylal induction of anesthesia.
200117
19 202016
20 201716

About Chao‐Shun Lin

Chao‐Shun Lin is a scholar working on Surgery, Anesthesiology and Pain Medicine, Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 745 indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (6 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Hemodynamic Monitoring and Therapy (3 papers), Influenza Virus Research Studies (3 papers), Liver Disease and Transplantation (3 papers), Anesthesia and Neurotoxicity Research (2 papers), Pressure Ulcer Prevention and Management (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Health Informatics (16 citations), Anesthesiology and Pain Medicine (57 citations), Critical Care and Intensive Care Medicine (33 citations), Orthopedics and Sports Medicine (49 citations) and Cardiology and Cardiovascular Medicine (106 citations). Chao‐Shun Lin has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Chien‐Chang Liao, Chun-Chieh Yeh, Chun-Chuan Shih, Ta-Liang Chen, Ta-Liang Chen, Yuan‐Wen Lee, Chuen‐Chau Chang, Martin S. Mok, Yih‐Giun Cherng and Chaur‐Jong Hu. Their work appears in journals such as PLoS ONE, Atherosclerosis, Journal of Clinical Anesthesia, Scientific Reports and BMJ Open.

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