Mei‐Ling Chen

2.2k total citations
76 papers, 1.7k citations indexed

About

Mei‐Ling Chen is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mei‐Ling Chen has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mei‐Ling Chen's work include Cancer survivorship and care (17 papers), Family Support in Illness (6 papers) and Pain Management and Opioid Use (6 papers). Mei‐Ling Chen is often cited by papers focused on Cancer survivorship and care (17 papers), Family Support in Illness (6 papers) and Pain Management and Opioid Use (6 papers). Mei‐Ling Chen collaborates with scholars based in Taiwan, China and United States. Mei‐Ling Chen's 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 Peiying Chen and has published in prestigious journals such as Blood, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Mei‐Ling Chen

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mei‐Ling Chen Taiwan 24 544 396 327 265 192 76 1.7k
Ann Marie Dose United States 20 816 1.5× 348 0.9× 375 1.1× 498 1.9× 135 0.7× 52 2.3k
Jeannine M. Brant United States 23 389 0.7× 395 1.0× 432 1.3× 149 0.6× 103 0.5× 113 1.5k
Karen Broadley United Kingdom 17 584 1.1× 301 0.8× 308 0.9× 294 1.1× 52 0.3× 34 1.5k
Cindy Tofthagen United States 21 1.2k 2.2× 176 0.4× 251 0.8× 220 0.8× 111 0.6× 75 1.9k
In Cheol Hwang South Korea 20 270 0.5× 161 0.4× 301 0.9× 126 0.5× 123 0.6× 134 1.3k
Paula Jiménez‐Fonseca Spain 29 1.5k 2.8× 302 0.8× 404 1.2× 413 1.6× 157 0.8× 186 2.7k
Constance Visovsky United States 21 737 1.4× 162 0.4× 196 0.6× 161 0.6× 87 0.5× 64 1.4k
Jenny J. Lin United States 24 718 1.3× 173 0.4× 382 1.2× 417 1.6× 77 0.4× 112 2.1k
Anna L. Hawkes Australia 27 939 1.7× 425 1.1× 305 0.9× 221 0.8× 174 0.9× 67 2.2k
Martin Tattersall Australia 19 397 0.7× 290 0.7× 645 2.0× 141 0.5× 84 0.4× 43 1.5k

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-authorship network of co-authors of Mei‐Ling Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Ling Chen. A scholar is included among the top collaborators of Mei‐Ling Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei‐Ling Chen. Mei‐Ling Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Peng, Mei‐Ling Chen, Zhenggang Zhu, et al.. (2025). The effectiveness of two-step percutaneous transhepatic choledochoscopic lithotripsy for hepatolithiasis: a retrospective study. Updates in Surgery. 78(1). 249–259. 1 indexed citations
2.
3.
Chen, Mei‐Ling, et al.. (2025). Gauss–Hermite metabolism GM(1,1) model to predict emergency material demand: a novel forecasting method. Grey Systems Theory and Application. 15(3). 425–445.
4.
Huang, Bing‐Shen, Ji‐Hong Hong, Joseph Tung‐Chieh Chang, et al.. (2024). Persistent Fatigue in Patients With Hepatocellular Carcinoma Receiving Radiotherapy. Journal of Nursing Research. 32(2). e319–e319. 1 indexed citations
5.
Cheng, Hao, et al.. (2023). Nomograms for predicting overall survival and cancer-specific survival in elderly patients with epithelial ovarian cancer. Journal of Ovarian Research. 16(1). 75–75. 5 indexed citations
6.
Li, Chia‐Ling, et al.. (2023). Changes in fatigue among cancer patients before, during, and after radiation therapy: A meta‐analysis. Worldviews on Evidence-Based Nursing. 21(3). 234–244.
7.
Shen, Wen‐Chi, Ming‐Mo Hou, Tai‐Lin Huang, et al.. (2022). Transdermal buprenorphine improves overall quality of life and symptom severity in cancer patients with pain. Journal of Clinical Nursing. 32(3-4). 539–547. 2 indexed citations
8.
Zhang, Jinbao, et al.. (2022). A cancer-associated fibroblast gene signature predicts prognosis and therapy response in patients with pancreatic cancer. Frontiers in Oncology. 12. 1052132–1052132. 6 indexed citations
9.
Liu, Chien‐Ying, et al.. (2021). Trajectory of smoking behaviour during the first 6 months after diagnosis of lung cancer: A study from Taiwan. Journal of Advanced Nursing. 77(5). 2363–2373. 3 indexed citations
10.
11.
Chen, Mei‐Ling, et al.. (2018). Effect of sertraline on negative emotion and adverse cardiovascular events in patients with coronary heart disease complicated with depression. Chin J Postgrad Med. 41(7). 605–608. 1 indexed citations
12.
Leu, Jia-Shiun, et al.. (2018). Functional domains of SP110 that modulate its transcriptional regulatory function and cellular translocation. Journal of Biomedical Science. 25(1). 34–34. 9 indexed citations
13.
Liu, Li‐Ni, Yung‐Chang Lin, Christine Miaskowski, Shin‐Cheh Chen, & Mei‐Ling Chen. (2017). Association between changes in body fat and disease progression after breast cancer surgery is moderated by menopausal status. BMC Cancer. 17(1). 863–863. 18 indexed citations
14.
Chen, Sung‐Lang, Wen‐Wei Sung, Hung‐Wen Lai, et al.. (2016). The Prognostic Role of STEAP1 Expression Determined via Immunohistochemistry Staining in Predicting Prognosis of Primary Colorectal Cancer: A Survival Analysis. International Journal of Molecular Sciences. 17(4). 592–592. 15 indexed citations
15.
Li, Chia‐Chun, et al.. (2015). Social support buffers the effect of self-esteem on quality of life of early-stage cervical cancer survivors in Taiwan. European Journal of Oncology Nursing. 19(5). 486–494. 51 indexed citations
16.
Liu, Li‐Ni, et al.. (2009). Cancer pain as the presenting problem in emergency departments: incidence and related factors. Supportive Care in Cancer. 18(1). 57–65. 32 indexed citations
17.
Wang, Jong‐Shyan, et al.. (2007). Effects of moderate and severe intermittent hypoxia on vascular endothelial function and haemodynamic control in sedentary men. European Journal of Applied Physiology. 100(2). 127–135. 47 indexed citations
18.
Lai, Yeur‐Hur, Mei‐Ling Chen, Li‐Yun Tsai, et al.. (2003). Are nurses prepared to manage cancer pain? A national survey of nurses' knowledge about pain control in Taiwan. Journal of Pain and Symptom Management. 26(5). 1016–1025. 44 indexed citations
19.
Chen, Mei‐Ling. (2003). Pain and Hope in Patients With Cancer. Cancer Nursing. 26(1). 61–67. 62 indexed citations
20.
Chen, Mei‐Ling. (1999). Validation of the structure of the perceived meanings of cancer pain inventory. Journal of Advanced Nursing. 30(2). 344–351. 11 indexed citations

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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