Mei‐Ling Chen

72 papers receiving 1.6k citations

Peers

Mei‐Ling Chen
Comparison fields: 5 of 116
  • Anesthesiology and Pain Medicine 142
  • Oncology 402
  • Applied Psychology 52
  • Pediatrics, Perinatology and Child Health 187
  • Pharmaceutical Science 45
Replace Małgorzata Krajnik with:
Małgorzata Krajnik Poland
Stanford Shoor United States
Carin C.D. van der Rijt Netherlands
Pierre‐Antoine Dugué Australia
Karen Broadley United Kingdom
Rob Riemsma United Kingdom
E. Neugebauer Germany
Cindy Tofthagen United States
Martin Chasen Canada
Marie O’Connor Ireland
Mei‐Ling Chen relative to Małgorzata Krajnik Poland Małgorzata Krajnik's profile →
Citations per field
00.5×10×17.3×
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 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006139
2 2006116
3 2004104
4 200095
5 199271
6 200863
7 200363
8 200353
9 201551
10 200950
11 200748
12 200747
13 201044
14 200344
15 201644
16 200243
17 201741
18 200932
19 201129
20 202427

About Mei‐Ling Chen

Mei‐Ling Chen is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Surgery, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer survivorship and care (12 papers), Pain Management and Opioid Use (5 papers), Pediatric Pain Management Techniques (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Cancer Risks and Factors (3 papers), Dementia and Cognitive Impairment Research (3 papers), Palliative Care and End-of-Life Issues (3 papers) and Family Support in Illness (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (142 citations), Oncology (402 citations), Applied Psychology (52 citations), Pediatrics, Perinatology and Child Health (187 citations) and Pharmaceutical Science (45 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, Jong‐Shyan Wang, Yeur‐Hur Lai and Yingmei 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 Pharmaceutical Research.

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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