Hua‐Ling Chen

436 total citations
17 papers, 312 citations indexed

About

Hua‐Ling Chen is a scholar working on Molecular Biology, Infectious Diseases and Clinical Psychology. According to data from OpenAlex, Hua‐Ling Chen has authored 17 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Clinical Psychology. Recurrent topics in Hua‐Ling Chen's work include COVID-19 and Mental Health (3 papers), COVID-19 Clinical Research Studies (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Hua‐Ling Chen is often cited by papers focused on COVID-19 and Mental Health (3 papers), COVID-19 Clinical Research Studies (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Hua‐Ling Chen collaborates with scholars based in Taiwan, China and United States. Hua‐Ling Chen's co-authors include Kenneth K. Wu, Chiou‐Hwa Yuh, Tang K. Tang, Chieh-Ju C. Tang, Chiung-Ya Chen, Cheng-Chin Kuo, Hayrettin Guvén, Emilie Flaberg, László Székely and George Klein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The FASEB Journal.

In The Last Decade

Hua‐Ling Chen

16 papers receiving 309 citations

Peers

Hua‐Ling Chen
Lu Cheng China
Hua‐Ling Chen
Citations per year, relative to Hua‐Ling Chen Hua‐Ling Chen (= 1×) peers Lu Cheng

Countries citing papers authored by Hua‐Ling Chen

Since Specialization
Citations

This map shows the geographic impact of Hua‐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 Hua‐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 Hua‐Ling Chen more than expected).

Fields of papers citing papers by Hua‐Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua‐Ling Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hua‐Ling Chen. A scholar is included among the top collaborators of Hua‐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 Hua‐Ling Chen. Hua‐Ling Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Chen, Hua‐Ling, et al.. (2024). Prevalence and factors influencing long COVID among primary healthcare workers after epidemic control policy adjustment in Jiangsu, China. BMC Infectious Diseases. 24(1). 964–964. 2 indexed citations
4.
Wei, Juntong, Xiaoyu Liu, Weimin Xiao, et al.. (2023). Phospholipid remodeling and its derivatives are associated with COVID-19 severity. Journal of Allergy and Clinical Immunology. 151(5). 1259–1268. 16 indexed citations
6.
Chen, Hua‐Ling, et al.. (2022). Microbial composition of carapace, feces, and water column in captive juvenile green sea turtles with carapacial ulcers. Frontiers in Veterinary Science. 9. 1039519–1039519. 4 indexed citations
8.
Cao, Xi, et al.. (2021). Successful treatment of hypervirulent Klebsiella pneumoniae bacteremia with combination carbapenem and rifampicin. IDCases. 26. e01276–e01276. 5 indexed citations
9.
Wuputra, Kenly, Kohsuke Kato, Jia-Bin Pan, et al.. (2021). Dimethyl sulfoxide stimulates the AhR-Jdp2 axis to control ROS accumulation in mouse embryonic fibroblasts. Cell Biology and Toxicology. 38(2). 203–222. 11 indexed citations
10.
Chen, Hua‐Ling, et al.. (2016). Inhibition of cancer cell epithelial mesenchymal transition by normal fibroblasts via production of 5-methoxytryptophan. Oncotarget. 7(21). 31243–31256. 18 indexed citations
11.
Chen, Hua‐Ling, et al.. (2016). Pro‐inflammatory cytokines induce mesenchymal stem cell secretory phenotype by increasing autophagosomes and lysosomes. The FASEB Journal. 30(S1). 1 indexed citations
12.
Chen, Yen‐Chung, et al.. (2013). Prostacyclin and PPARα Agonists Control Vascular Smooth Muscle Cell Apoptosis and Phenotypic Switch through Distinct 14-3-3 Isoforms. PLoS ONE. 8(7). e69702–e69702. 18 indexed citations
13.
Kuo, Cheng-Chin, Hua‐Ling Chen, Kelvin K. Tsai, et al.. (2012). Control of cyclooxygenase-2 expression and tumorigenesis by endogenous 5-methoxytryptophan. Proceedings of the National Academy of Sciences. 109(33). 13231–13236. 73 indexed citations
14.
Chen, Hua‐Ling, Chiou‐Hwa Yuh, & Kenneth K. Wu. (2010). Nestin Is Essential for Zebrafish Brain and Eye Development through Control of Progenitor Cell Apoptosis. PLoS ONE. 5(2). e9318–e9318. 56 indexed citations
15.
Chan, Tzu-Min, William J.R. Longabaugh, Hamid Bolouri, et al.. (2008). Developmental gene regulatory networks in the zebrafish embryo. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1789(4). 279–298. 45 indexed citations
16.
Chen, Hua‐Ling, Chieh-Ju C. Tang, Chiung-Ya Chen, & Tang K. Tang. (2005). Overexpression of an Aurora-C kinase-deficient mutant disrupts the Aurora-B/INCENP complex and induces polyploidy. Journal of Biomedical Science. 12(2). 297–310. 40 indexed citations
17.
Chen, Hua‐Ling, May–Jen Huang, Ching‐Shan Huang, & Tang K. Tang. (1996). G6PD IManKang (517 T→C; 173 Phe→Leu): A New Chinese G6PD Variant Associated with Neonatal Jaundice. Human Heredity. 46(4). 201–204. 17 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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