Yuh-Lin Wu

27 total papers · 751 total citations
26 papers, 632 citations indexed

About

Yuh-Lin Wu is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Yuh-Lin Wu has authored 26 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Genetics. Recurrent topics in Yuh-Lin Wu's work include Estrogen and related hormone effects (6 papers), Inflammatory mediators and NSAID effects (5 papers) and Immune Response and Inflammation (4 papers). Yuh-Lin Wu is often cited by papers focused on Estrogen and related hormone effects (6 papers), Inflammatory mediators and NSAID effects (5 papers) and Immune Response and Inflammation (4 papers). Yuh-Lin Wu collaborates with scholars based in Taiwan, United States and Finland. Yuh-Lin Wu's co-authors include Yu Ru Kou, Tzong‐Shyuan Lee, Milo C. Wiltbank, Kuo‐Hui Su, Gau‐Jun Tang, Song‐Kun Shyue, Sheng-Huang Hsiao, An-Na Chiang, Yuan-Bin Yu and Li‐Chieh Ching and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Yuh-Lin Wu

26 papers receiving 622 citations

Author Peers

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

Author Last Decade Papers Cites
Yuh-Lin Wu 247 106 102 95 92 26 632
Lihua Li 294 1.2× 149 1.4× 77 0.8× 92 1.0× 100 1.1× 42 688
Majid Ghayour‐Mobarhan 213 0.9× 87 0.8× 132 1.3× 99 1.0× 131 1.4× 38 754
Claudio Bardelli 301 1.2× 154 1.5× 84 0.8× 132 1.4× 61 0.7× 32 755
Mani Chopra 364 1.5× 93 0.9× 117 1.1× 50 0.5× 101 1.1× 27 656
Fedra Luciano‐Mateo 249 1.0× 83 0.8× 114 1.1× 136 1.4× 140 1.5× 35 669
Ting Jiang 271 1.1× 81 0.8× 110 1.1× 45 0.5× 90 1.0× 30 667
Rexiati Ruze 240 1.0× 72 0.7× 147 1.4× 171 1.8× 102 1.1× 29 724
Jianlu Song 269 1.1× 73 0.7× 116 1.1× 151 1.6× 105 1.1× 23 716
Julijana Stanimirović 210 0.9× 114 1.1× 114 1.1× 113 1.2× 126 1.4× 24 619
Xuexue Zhu 309 1.3× 100 0.9× 98 1.0× 62 0.7× 106 1.2× 38 651

Countries citing papers authored by Yuh-Lin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuh-Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuh-Lin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuh-Lin Wu. A scholar is included among the top collaborators of Yuh-Lin 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 Yuh-Lin Wu. Yuh-Lin 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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