Kee‐Hsin Chen

57 papers receiving 944 citations

Peers

Kee‐Hsin Chen
Comparison fields: 5 of 120
  • Critical Care and Intensive Care Medicine 182
  • Anesthesiology and Pain Medicine 142
  • Developmental Neuroscience 76
  • Research and Theory 15
  • Complementary and alternative medicine 131
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Elizabeth Sinz United States
C. Gomar Spain
Anne Perrault Canada
Manuel Wenk Germany
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Brett Doleman United Kingdom
Svjetlana Došenović Croatia
Franco Marinangeli Italy
Chih‐Kuang Liang Taiwan
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Citations per field
00.5×10×14.6×
Elizabeth Sinz · 1×
Citations per year

Countries citing papers authored by Kee‐Hsin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kee‐Hsin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kee‐Hsin Chen. 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 Kee‐Hsin Chen. The network helps show where Kee‐Hsin Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016172
2 2013129
3 202154
4 202346
5 202136
6 202331
7 201627
8 201427
9 202026
10 201523
11 202022
12 201722
13 202321
14 201921
15 202018
16 201617
17 202016
18 202015
19 202115
20 202115

About Kee‐Hsin Chen

Kee‐Hsin Chen is a scholar working on General Health Professions, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Pediatrics, Perinatology and Child Health and Anesthesiology and Pain Medicine, having authored 63 papers that have together received 970 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (9 papers), Meta-analysis and systematic reviews (8 papers), Anesthesia and Sedative Agents (7 papers), Health Sciences Research and Education (6 papers), Family and Patient Care in Intensive Care Units (5 papers), Infant Development and Preterm Care (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (182 citations), Anesthesiology and Pain Medicine (142 citations), Developmental Neuroscience (76 citations), Research and Theory (15 citations) and Complementary and alternative medicine (131 citations). Kee‐Hsin Chen has collaborated with scholars based in Taiwan, Malaysia and Australia. Frequent co-authors include Chiehfeng Chen, Paul Glasziou, Elaine Beller, Victoria Traynor, Shihping Kevin Huang, I‐Ming Chen, Mu‐Hsing Ho, Yi‐No Kang, Mei‐Ling Yeh and Jaung‐Geng Lin. Their work appears in journals such as Worldviews on Evidence-Based Nursing, Neonatology, Nutrients, Journal of Advanced Nursing and The Journal of Continuing Education in Nursing.

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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