Wan-Lin Wu

1.4k total citations
12 papers, 377 citations indexed

About

Wan-Lin Wu is a scholar working on Molecular Biology, Plant Science and Materials Chemistry. According to data from OpenAlex, Wan-Lin Wu has authored 12 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Plant Science and 3 papers in Materials Chemistry. Recurrent topics in Wan-Lin Wu's work include Plant Molecular Biology Research (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Plant Gene Expression Analysis (2 papers). Wan-Lin Wu is often cited by papers focused on Plant Molecular Biology Research (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Plant Gene Expression Analysis (2 papers). Wan-Lin Wu collaborates with scholars based in Taiwan, United States and China. Wan-Lin Wu's co-authors include Ling‐Jun Ho, Ching‐Yu Huang, Fuchen Liu, Yong‐Jin Pu, Chin‐Sheng Lin, T. C. Peterson, S. A. Schwarz, Jonathan Sokolov, M. H. Rafailovich and Zhao-Jun Pan and has published in prestigious journals such as Physical Review Letters, Macromolecules and Journal of Agricultural and Food Chemistry.

In The Last Decade

Wan-Lin Wu

12 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wan-Lin Wu Taiwan 10 167 95 68 48 38 12 377
Yingjie Lu China 15 188 1.1× 30 0.3× 28 0.4× 37 0.8× 16 0.4× 44 695
Meiyu Wang China 14 240 1.4× 58 0.6× 177 2.6× 9 0.2× 18 0.5× 30 561
Yujia Jin China 11 67 0.4× 43 0.5× 75 1.1× 7 0.1× 6 0.2× 43 496
Shijie Zheng China 12 115 0.7× 10 0.1× 22 0.3× 25 0.5× 13 0.3× 38 454
Satoshi Miyamoto Japan 10 76 0.5× 12 0.1× 47 0.7× 54 1.1× 111 2.9× 35 398
Xiaoqin Li China 9 98 0.6× 32 0.3× 35 0.5× 5 0.1× 6 0.2× 27 302
Wei‐Tse Hsu Taiwan 12 131 0.8× 30 0.3× 82 1.2× 10 0.2× 15 0.4× 17 378
Zuzana Hájková Czechia 12 149 0.9× 17 0.2× 91 1.3× 5 0.1× 8 0.2× 41 459
Qiuping Huang China 13 219 1.3× 14 0.1× 28 0.4× 13 0.3× 18 0.5× 26 476
Yuya Yamaguchi Japan 13 139 0.8× 19 0.2× 45 0.7× 6 0.1× 16 0.4× 56 462

Countries citing papers authored by Wan-Lin Wu

Since Specialization
Citations

This map shows the geographic impact of Wan-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 Wan-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 Wan-Lin Wu more than expected).

Fields of papers citing papers by Wan-Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

12 of 12 papers shown
1.
2.
Chen, Sy‐Jou, Feng‐Yen Lin, Shih-Ming Huang, et al.. (2019). Carvedilol Ameliorates Experimental Atherosclerosis by Regulating Cholesterol Efflux and Exosome Functions. International Journal of Molecular Sciences. 20(20). 5202–5202. 19 indexed citations
3.
Chen, Sy‐Jou, Yung-Hsi Kao, Wan-Lin Wu, et al.. (2017). Epigallocatechin-3-gallate Reduces Scavenger Receptor A Expression and Foam Cell Formation in Human Macrophages. Journal of Agricultural and Food Chemistry. 65(15). 3141–3150. 25 indexed citations
4.
Lin, Chih‐Lung, et al.. (2016). P‐35: New Voltage‐Programmed AMOLED Pixel Circuit Employing In‐Pixel Compensation Scheme for Mobility Variation. SID Symposium Digest of Technical Papers. 47(1). 1254–1256. 5 indexed citations
5.
Pan, Zhao-Jun, Hsiang-Chia Lu, Hsin‐Hung Yeh, et al.. (2013). Virus-induced gene silencing unravels multiple transcription factors involved in floral growth and development in Phalaenopsis orchids. Journal of Experimental Botany. 64(12). 3869–3884. 37 indexed citations
6.
Chen, You‐Yi, Yu‐Yun Hsiao, Wan-Lin Wu, et al.. (2012). C- and D-class MADS-Box Genes from Phalaenopsis equestris (Orchidaceae) Display Functions in Gynostemium and Ovule Development. Plant and Cell Physiology. 53(6). 1053–1067. 52 indexed citations
7.
Lin, Chin‐Sheng, Feng‐Yen Lin, Ling‐Jun Ho, et al.. (2012). PKCδ signalling regulates SR-A and CD36 expression and foam cell formation. Cardiovascular Research. 95(3). 346–355. 57 indexed citations
8.
9.
Sun, Kai, et al.. (2004). Acidic-rich region of amyloid precursor protein induces glial cell apoptosis. APOPTOSIS. 9(6). 833–841. 3 indexed citations
10.
Tang, Shye-Jye, et al.. (2003). A transformation system for the nonuniversal CUGSer codon usage species Candida rugosa. Journal of Microbiological Methods. 52(2). 231–238. 9 indexed citations
11.
Pu, Yong‐Jin, M. H. Rafailovich, Jonathan Sokolov, et al.. (2001). Mobility of Polymer Chains Confined at a Free Surface. Physical Review Letters. 87(20). 206101–206101. 64 indexed citations
12.
Pu, Yong‐Jin, Hilary White, Miriam Rafailovich, et al.. (2001). Probe Diffusion in Thin PS Free-Standing Films. Macromolecules. 34(24). 8518–8522. 22 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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