Mei‐Ling Chen

71 papers receiving 1.7k citations

Peers

Mei‐Ling Chen
Comparison fields: 5 of 118
  • Anesthesiology and Pain Medicine 152
  • Oncology 424
  • Pediatrics, Perinatology and Child Health 202
  • Applied Psychology 50
  • Pharmaceutical Science 50
Replace Małgorzata Krajnik with:
Małgorzata Krajnik Poland
Edmund A. M. Neugebauer Germany
Karen E Broadley United Kingdom
Rob Riemsma United Kingdom
Martin Robert Chasen Canada
Steven H. Krasnow United States
Petra Stute Switzerland
Martin Morris Canada
Ling Shi United States
Cindy Tofthagen United States
Mei‐Ling Chen relative to Małgorzata Krajnik Poland Małgorzata Krajnik's profile →
Citations per field
00.5×5×10×12.5×
Małgorzata Krajnik · 1×
Citations per year

Countries citing papers authored by Mei‐Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006144
2 2006119
3 2004111
4 2000100
5 199278
6 200861
7 200360
8 200354
9 200951
10 201551
11 200750
12 200248
13 200748
14 201747
15 201046
16 200346
17 201645
18 200936
19 202430
20 201130

About Mei‐Ling Chen

Mei‐Ling Chen is a scholar working on Oncology, Anesthesiology and Pain Medicine, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 77 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer survivorship and care (12 papers), Pain Management and Opioid Use (5 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Dementia and Cognitive Impairment Research (3 papers), Family Support in Illness (3 papers), Pediatric Pain Management Techniques (3 papers), Cancer Risks and Factors (3 papers) and Palliative Care and End-of-Life Issues (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (152 citations), Oncology (424 citations), Pediatrics, Perinatology and Child Health (202 citations), Applied Psychology (50 citations) and Pharmaceutical Science (50 citations). Mei‐Ling Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hsiu-Chuan Chen, Hsien‐Kun Chang, Chao‐Hsing Yeh, Li‐Ni Liu, Yao‐Ko Wen, Chia‐Chun Li, Christine Miaskowski, Peiying Chen, Jong‐Shyan Wang and Ying-Mei Liu. Their work appears in journals such as Journal of Advanced Nursing, Supportive Care in Cancer, Journal of Nursing Research, Journal of Clinical Nursing and Journal of Pain and Symptom Management.

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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