Li‐Na Kuo

508 total citations
24 papers, 342 citations indexed

About

Li‐Na Kuo is a scholar working on Geriatrics and Gerontology, Surgery and Nephrology. According to data from OpenAlex, Li‐Na Kuo has authored 24 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Geriatrics and Gerontology, 3 papers in Surgery and 3 papers in Nephrology. Recurrent topics in Li‐Na Kuo's work include Pharmaceutical Practices and Patient Outcomes (8 papers), Patient Safety and Medication Errors (3 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Li‐Na Kuo is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (8 papers), Patient Safety and Medication Errors (3 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Li‐Na Kuo collaborates with scholars based in Taiwan, United States and Sweden. Li‐Na Kuo's co-authors include Hsiang‐Yin Chen, Wei‐Chiao Chang, Yun Yen, Hui‐Ju Tsai, Ting-I Lee, Jianmin Sun, Kenichi Abe, Joanna Kitlińska, Chiehfeng Chen and Congyi Lu and has published in prestigious journals such as Oncogene, Journal of Medical Internet Research and Medicine.

In The Last Decade

Li‐Na Kuo

24 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Na Kuo Taiwan 10 80 59 45 41 40 24 342
Oscar Hou In Chou Hong Kong 13 96 1.2× 67 1.1× 15 0.3× 64 1.6× 22 0.6× 56 500
Hua Lu China 14 146 1.8× 54 0.9× 41 0.9× 59 1.4× 39 1.0× 61 705
Ying Xing China 14 91 1.1× 44 0.7× 13 0.3× 18 0.4× 24 0.6× 46 472
Lisa Brown United States 13 79 1.0× 96 1.6× 19 0.4× 65 1.6× 37 0.9× 26 685
Teddy Tai Loy Lee China 11 64 0.8× 35 0.6× 9 0.2× 55 1.3× 17 0.4× 29 338
Jyotsna Mehta United States 11 56 0.7× 84 1.4× 13 0.3× 18 0.4× 34 0.8× 25 712
Sheena Patel United States 14 85 1.1× 32 0.5× 12 0.3× 31 0.8× 35 0.9× 41 671
Jane Gillis Canada 13 152 1.9× 55 0.9× 26 0.6× 13 0.3× 56 1.4× 24 505
Sudarshan Hebbar United States 11 104 1.3× 32 0.5× 17 0.4× 48 1.2× 59 1.5× 17 490
Miyako Kishimoto Japan 18 135 1.7× 73 1.2× 17 0.4× 51 1.2× 14 0.3× 70 849

Countries citing papers authored by Li‐Na Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Na Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Na Kuo. 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 Li‐Na Kuo. The network helps show where Li‐Na Kuo may publish in the future.

Co-authorship network of co-authors of Li‐Na Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Na Kuo. A scholar is included among the top collaborators of Li‐Na Kuo 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 Li‐Na Kuo. Li‐Na Kuo 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.
2.
Huang, Shih‐Hui, Yu‐Chia Hsu, San‐Yuan Wang, et al.. (2022). How platinum-induced nephrotoxicity occurs? Machine learning prediction in non-small cell lung cancer patients. Computer Methods and Programs in Biomedicine. 221. 106839–106839. 7 indexed citations
3.
4.
Kuo, Li‐Na, et al.. (2021). Efficacy of AST-120 for Patients With Chronic Kidney Disease: A Network Meta-Analysis of Randomized Controlled Trials. Frontiers in Pharmacology. 12. 676345–676345. 30 indexed citations
5.
Sarasmita, Made Ary, et al.. (2021). A Computer-Based Interactive Narrative and a Serious Game for Children With Asthma: Development and Content Validity Analysis. Journal of Medical Internet Research. 23(9). e28796–e28796. 11 indexed citations
6.
Kuo, Li‐Na, et al.. (2020). Development of a specialist pharmacist career ladder system and a pharmacy residency program as a result of global partnerships: The experience of Taipei Medical University. JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY. 3(5). 897–904. 3 indexed citations
7.
Kuo, Li‐Na, et al.. (2019). Cancers in Taiwan: Practical insight from epidemiology, treatments, biomarkers, and cost. Journal of the Formosan Medical Association. 119(12). 1731–1741. 63 indexed citations
8.
Lee, Chun-Nin, et al.. (2019). Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques. Computer Methods and Programs in Biomedicine. 188. 105307–105307. 24 indexed citations
9.
Chen, Kai‐Yun, Li‐Na Kuo, Wen‐Chang Wang, et al.. (2018). The association between BDNF Val66Met polymorphism and emotional symptoms after mild traumatic brain injury. BMC Medical Genetics. 19(1). 13–13. 26 indexed citations
10.
Kuo, Li‐Na, et al.. (2018). Prescribing patterns and healthcare costs of gout. Current Medical Research and Opinion. 35(6). 1051–1058. 5 indexed citations
11.
Tseng, Yu‐Ting, et al.. (2017). Preliminary physician and pharmacist survey of the National Health Insurance PharmaCloud system in Taiwan. Computer Methods and Programs in Biomedicine. 149. 69–77. 9 indexed citations
12.
Tang, Chao‐Hsiun, et al.. (2017). Evaluation of healthcare costs and utilization for patients with gout: a population-based matched cohort study. Current Medical Research and Opinion. 34(4). 735–740. 5 indexed citations
13.
Kuo, Li‐Na, et al.. (2016). The effect of medication therapy management service combined with a national PharmaCloud system for polypharmacy patients. Computer Methods and Programs in Biomedicine. 134. 109–119. 11 indexed citations
14.
Kuo, Li‐Na, et al.. (2014). Infection risk in patients with rheumatoid arthritis treated with etanercept or adalimumab. Computer Methods and Programs in Biomedicine. 116(3). 319–327. 16 indexed citations
15.
Chen, Hsiang‐Yin, et al.. (2014). Clinical evaluation of tigecycline in the treatment of nosocomial infection in a hospital in Taiwan. International Journal of Clinical Pharmacology and Therapeutics. 52(12). 1030–1036. 3 indexed citations
16.
Kuo, Li‐Na, et al.. (2013). Pharmacist-conducted medication reconciliation at hospital admission using information technology in Taiwan. International Journal of Medical Informatics. 82(6). 522–527. 9 indexed citations
17.
Kuo, Li‐Na, et al.. (2013). Evaluation of the safety and efficacy of warfarin in Taiwanese patients. International Journal of Clinical Pharmacology and Therapeutics. 51(2). 106–113. 2 indexed citations
18.
Hou, Jingyi, et al.. (2011). Retrospective Evaluation of the Outcomes of Applying the Renal Dosing Monitoring System in a Medical Center. Journal of Experimental & Clinical Medicine. 3(4). 176–180. 2 indexed citations
19.
Lu, Congyi, Jason U. Tilan, Li‐Na Kuo, et al.. (2010). Neuropeptide Y and its Y2 receptor: potential targets in neuroblastoma therapy. Oncogene. 29(41). 5630–5642. 53 indexed citations
20.
Kuo, Li‐Na, et al.. (2010). Evaluation of the Electronic Adverse Drug Event Management System. Journal of Experimental & Clinical Medicine. 2(6). 287–291. 9 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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