Jia-Ling Wu

38 total papers · 971 total citations
35 papers, 754 citations indexed

About

Jia-Ling Wu is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Clinical Psychology. According to data from OpenAlex, Jia-Ling Wu has authored 35 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 9 papers in Public Health, Environmental and Occupational Health and 8 papers in Clinical Psychology. Recurrent topics in Jia-Ling Wu's work include Family and Disability Support Research (8 papers), Down syndrome and intellectual disability research (7 papers) and Chronic Disease Management Strategies (5 papers). Jia-Ling Wu is often cited by papers focused on Family and Disability Support Research (8 papers), Down syndrome and intellectual disability research (7 papers) and Chronic Disease Management Strategies (5 papers). Jia-Ling Wu collaborates with scholars based in Taiwan, Australia and United States. Jia-Ling Wu's co-authors include Jin‐Ding Lin, Lan-Ping Lin, Chia-Feng Yen, Yu‐Tzu Chang, Junne‐Ming Sung, Jung‐Der Wang, Shang-Wei Hsu, Pei-Ying Lin, Cordia Chu and Ching‐Hui Loh and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Scientific Reports.

In The Last Decade

Jia-Ling Wu

35 papers receiving 734 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jia-Ling Wu	205	192	131	129	124	35	754
Maria Cristina de Oliveira Santos Miyazaki	140 0.7×	241 1.3×	74 0.6×	174 1.3×	112 0.9×	60	806
Isabel Vázquez	65 0.3×	141 0.7×	124 0.9×	165 1.3×	185 1.5×	49	899
Christina Karamanidou	88 0.4×	111 0.6×	73 0.6×	210 1.6×	73 0.6×	31	635
Samar Noureddine	135 0.7×	138 0.7×	151 1.2×	50 0.4×	46 0.4×	57	854
Dorothy Fielding	118 0.6×	118 0.6×	64 0.5×	108 0.8×	101 0.8×	27	685
Kimberly Acquaviva	204 1.0×	184 1.0×	32 0.2×	169 1.3×	104 0.8×	32	676
Kwua‐Yun Wang	136 0.7×	113 0.6×	58 0.4×	43 0.3×	37 0.3×	45	678
Michael Blumenfield	92 0.4×	177 0.9×	115 0.9×	103 0.8×	148 1.2×	34	657
Luciane Nascimento Cruz	131 0.6×	91 0.5×	136 1.0×	25 0.2×	92 0.7×	44	878
Martha J. Foxall	134 0.7×	195 1.0×	71 0.5×	61 0.5×	46 0.4×	33	908

Countries citing papers authored by Jia-Ling Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jia-Ling Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia-Ling Wu. 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 Jia-Ling Wu. The network helps show where Jia-Ling Wu may publish in the future.

Co-authorship network of co-authors of Jia-Ling Wu

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

All Works

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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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