Wen‐Dar Lin

2.4k total citations
42 papers, 1.9k citations indexed

About

Wen‐Dar Lin is a scholar working on Molecular Biology, Plant Science and Computer Networks and Communications. According to data from OpenAlex, Wen‐Dar Lin has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 21 papers in Plant Science and 4 papers in Computer Networks and Communications. Recurrent topics in Wen‐Dar Lin's work include Plant Molecular Biology Research (14 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (11 papers). Wen‐Dar Lin is often cited by papers focused on Plant Molecular Biology Research (14 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (11 papers). Wen‐Dar Lin collaborates with scholars based in Taiwan, United States and Italy. Wen‐Dar Lin's co-authors include Wolfgang Schmidt, Wenfeng Li, Ping Lan, Paul E. Verslues, Wolfgang Schmidt, Shih‐Long Tu, Tuan‐Nan Wen, Chiung‐Yun Chang, Joji Grace Villamor and Javier Abadı́a and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and The Plant Cell.

In The Last Decade

Wen‐Dar Lin

41 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Dar Lin Taiwan 21 1.4k 947 60 44 41 42 1.9k
David J. Fairbairn Australia 15 805 0.6× 546 0.6× 37 0.6× 72 1.6× 69 1.7× 23 1.2k
Darren C. J. Wong Australia 27 1.8k 1.2× 1.5k 1.6× 65 1.1× 45 1.0× 46 1.1× 56 2.4k
Leslie A. Wanner United States 23 1.4k 1.0× 781 0.8× 54 0.9× 37 0.8× 23 0.6× 36 1.8k
Ing‐Feng Chang Taiwan 19 1.2k 0.8× 1.1k 1.2× 33 0.6× 54 1.2× 14 0.3× 29 1.7k
Minviluz G. Stacey United States 21 2.0k 1.5× 859 0.9× 65 1.1× 85 1.9× 47 1.1× 32 2.3k
Pedro Piedras Spain 19 1.5k 1.1× 751 0.8× 35 0.6× 40 0.9× 24 0.6× 39 1.8k
Hélène Zuber France 17 1.0k 0.7× 792 0.8× 39 0.7× 56 1.3× 29 0.7× 28 1.5k
Margit Menges United Kingdom 19 2.5k 1.8× 2.1k 2.3× 88 1.5× 26 0.6× 25 0.6× 20 2.9k

Countries citing papers authored by Wen‐Dar Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Dar Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Dar Lin. 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 Wen‐Dar Lin. The network helps show where Wen‐Dar Lin may publish in the future.

Co-authorship network of co-authors of Wen‐Dar Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Dar Lin. A scholar is included among the top collaborators of Wen‐Dar Lin 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 Wen‐Dar Lin. Wen‐Dar Lin 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.
Vélez‐Bermúdez, Isabel Cristina, Wen‐Dar Lin, Shu‐Jen Chou, Aiping Chen, & Wolfgang Schmidt. (2025). Transcriptome and translatome comparison of tissues from Arabidopsis thaliana. Scientific Data. 12(1). 504–504. 1 indexed citations
2.
Vélez‐Bermúdez, Isabel Cristina, Shu‐Jen Chou, Aiping Chen, Wen‐Dar Lin, & Wolfgang Schmidt. (2023). Protocol to measure ribosome density along mRNA transcripts of Arabidopsis thaliana tissues using Ribo-seq. STAR Protocols. 4(3). 102520–102520. 2 indexed citations
3.
4.
Radjacommare, R., et al.. (2023). The Arabidopsis Deubiquitylase OTU5 Suppresses Flowering by Histone Modification-Mediated Activation of the Major Flowering Repressors FLC, MAF4, and MAF5. International Journal of Molecular Sciences. 24(7). 6176–6176. 2 indexed citations
5.
Lin, Wen‐Dar, et al.. (2022). Transcriptomic Analysis Suggests Auxin Regulation in Dorsal-Ventral Petal Asymmetry of Wild Progenitor Sinningia speciosa. International Journal of Molecular Sciences. 23(4). 2073–2073. 2 indexed citations
6.
Huang, Chun-Kai, Wen‐Dar Lin, & Shu‐Hsing Wu. (2022). An improved repertoire of splicing variants and their potential roles in Arabidopsis photomorphogenic development. Genome biology. 23(1). 50–50. 22 indexed citations
7.
Hsieh, En‐Jung, Wen‐Dar Lin, & Wolfgang Schmidt. (2022). Genomically Hardwired Regulation of Gene Activity Orchestrates Cellular Iron Homeostasis in Arabidopsis. RNA Biology. 19(1). 143–161. 7 indexed citations
8.
Kuo, Hsion-Wen, Wen‐Dar Lin, Chenwei Li, et al.. (2021). From simple and specific zymographic detections to the annotation of a fungus Daldinia caldariorum D263 that encodes a wide range of highly bioactive cellulolytic enzymes. Biotechnology for Biofuels. 14(1). 120–120. 4 indexed citations
9.
Bhaskara, Govinal Badiger, et al.. (2019). Phosphoproteomics of Arabidopsis Highly ABA-Induced1 identifies AT-Hook–Like10 phosphorylation required for stress growth regulation. Proceedings of the National Academy of Sciences. 116(6). 2354–2363. 88 indexed citations
10.
Matzke, A. J. M., Wen‐Dar Lin, & Marjori Matzke. (2019). Evidence That Ion-Based Signaling Initiating at the Cell Surface Can Potentially Influence Chromatin Dynamics and Chromatin-Bound Proteins in the Nucleus. Frontiers in Plant Science. 10. 1267–1267. 8 indexed citations
11.
Kanno, Tatsuo, et al.. (2017). A genetic screen implicates a CWC16/Yju2/CCDC130 protein and SMU1 in alternative splicing in Arabidopsis thaliana. RNA. 23(7). 1068–1079. 18 indexed citations
12.
Kanno, Tatsuo, et al.. (2017). A Genetic Screen for Pre-mRNA Splicing Mutants of Arabidopsis thaliana Identifies Putative U1 snRNP Components RBM25 and PRP39a. Genetics. 207(4). 1347–1359. 21 indexed citations
13.
Shinde, Suhas, Joji Grace Villamor, Wen‐Dar Lin, Sandeep Sharma, & Paul E. Verslues. (2016). Proline coordination with fatty acid synthesis and redox metabolism of chloroplast and mitochondria. PLANT PHYSIOLOGY. 172(2). pp.01097.2016–pp.01097.2016. 74 indexed citations
14.
Sasaki, Taku, Tatsuo Kanno, Pao‐Yang Chen, et al.. (2015). An Rtf2 Domain-Containing Protein Influences Pre-mRNA Splicing and Is Essential for Embryonic Development in Arabidopsis thaliana. Genetics. 200(2). 523–535. 32 indexed citations
15.
Li, Wenfeng, Wen‐Dar Lin, Prasun Ray, Ping Lan, & Wolfgang Schmidt. (2013). Genome-Wide Detection of Condition-Sensitive Alternative Splicing in Arabidopsis Roots. PLANT PHYSIOLOGY. 162(3). 1750–1763. 93 indexed citations
16.
Rodríguez-Celma, Jorge, et al.. (2013). Mutually Exclusive Alterations in Secondary Metabolism Are Critical for the Uptake of Insoluble Iron Compounds by Arabidopsis and Medicago truncatula. PLANT PHYSIOLOGY. 162(3). 1473–1485. 188 indexed citations
17.
Lasky, Jesse R., Joji Grace Villamor, David L. Des Marais, et al.. (2012). Intron-mediated alternative splicing of Arabidopsis P5CS1 and its association with natural variation in proline and climate adaptation. Proceedings of the National Academy of Sciences. 109(23). 9197–9202. 106 indexed citations
18.
Lin, Wen‐Dar, et al.. (2006). GOBU : Toward an integration interface for biological objects. Journal of information science and engineering. 22(1). 19–29. 26 indexed citations
19.
Hwang, F. K. & Wen‐Dar Lin. (2002). A general construction for nonblocking crosstalk-free photonic switching networks. 297–301. 3 indexed citations
20.
Hwang, Frank K., Lirong Cui, Jen-Chun Chang, & Wen‐Dar Lin. (2000). Comments on “Reliability and component importance of a consecutive-k-out-of-n system” by Zuo. Microelectronics Reliability. 40(6). 1061–1063. 16 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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