Ju‐Lan Chao

469 total citations
11 papers, 340 citations indexed

About

Ju‐Lan Chao is a scholar working on Molecular Biology, Plant Science and Parasitology. According to data from OpenAlex, Ju‐Lan Chao has authored 11 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Parasitology. Recurrent topics in Ju‐Lan Chao's work include Protist diversity and phylogeny (6 papers), Chromosomal and Genetic Variations (4 papers) and Parasitic Infections and Diagnostics (4 papers). Ju‐Lan Chao is often cited by papers focused on Protist diversity and phylogeny (6 papers), Chromosomal and Genetic Variations (4 papers) and Parasitic Infections and Diagnostics (4 papers). Ju‐Lan Chao collaborates with scholars based in Taiwan, United States and Germany. Ju‐Lan Chao's co-authors include Meng-Chao Yao, Yu-Chen Tsai, Yi Sun, Harmit S. Malik, Janet M. Young, Wan-Chen Li, Ruey-Shyang Chen, Ting‐Fang Wang, Chia‐Ling Chen and Hsin-Nan Lin and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and PLoS ONE.

In The Last Decade

Ju‐Lan Chao

11 papers receiving 337 citations

Peers

Ju‐Lan Chao

MB

PS

ECOLO

CB

CMN

Eva‐Maria Ladenburger Germany

Anne Le Mouël France

Xiaona Tang United States

Khaled Bouhouche France

Silvia N. Bocca Argentina

Franziska Jönsson Germany

Aidan J. Peterson United States

Stephen Butcher United States

Mara Schvarzstein United States

Marcella D. Cervantes United States

Eva‐Maria Ladenburger Germany

Ju‐Lan Chao

364 ×1.3

MB

33 ×0.3

PS

31 ×0.4

ECOLO

88 ×1.6

CB

34 ×0.9

CMN

Citations per year, relative to Ju‐Lan Chao Ju‐Lan Chao (= 1×) peers Eva‐Maria Ladenburger

Countries citing papers authored by Ju‐Lan Chao

Since Specialization

Citations

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

Fields of papers citing papers by Ju‐Lan Chao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju‐Lan Chao. 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 Ju‐Lan Chao. The network helps show where Ju‐Lan Chao may publish in the future.

Co-authorship network of co-authors of Ju‐Lan Chao

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

All Works

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11 of 11 papers shown

1.

Chao, Ju‐Lan, et al.. (2023). Noncanonical usage of stop codons in ciliates expands proteins with structurally flexible Q-rich motifs. eLife. 12. 1 indexed citations

2.

Li, Wan-Chen, Chia‐Ling Chen, Hsin-Nan Lin, et al.. (2021). Complete Genome Sequences and Genome-Wide Characterization of Trichoderma Biocontrol Agents Provide New Insights into their Evolution and Variation in Genome Organization, Sexual Development, and Fungal-Plant Interactions. Microbiology Spectrum. 9(3). e0066321–e0066321. 18 indexed citations

3.

Chao, Ju‐Lan, et al.. (2019). Setting boundaries for genome-wide heterochromatic DNA deletions through flanking inverted repeats in Tetrahymena thermophila. Nucleic Acids Research. 47(10). 5181–5192. 7 indexed citations

4.

Young, Janet M., et al.. (2016). The piggyBac transposon-derived genes TPB1 and TPB6 mediate essential transposon-like excision during the developmental rearrangement of key genes in Tetrahymena thermophila. Genes & Development. 30(24). 2724–2736. 33 indexed citations

5.

Chao, Ju‐Lan, et al.. (2016). Dynamic distributions of long double-stranded RNA in Tetrahymena during nuclear development and genome rearrangements. Journal of Cell Science. 129(5). 1046–1058. 9 indexed citations

6.

Tsai, Yu-Chen, Stefan Grimm, Ju‐Lan Chao, et al.. (2015). Optomotor-Blind Negatively Regulates Drosophila Eye Development by Blocking Jak/STAT Signaling. PLoS ONE. 10(3). e0120236–e0120236. 8 indexed citations

7.

Yao, Meng-Chao, et al.. (2014). Programmed Genome Rearrangements in Tetrahymena. Microbiology Spectrum. 2(6). 29 indexed citations

8.

Chao, Ju‐Lan, et al.. (2012). An essential role for the DNA breakage-repair protein Ku80 in programmed DNA rearrangements in Tetrahymena thermophila. Molecular Biology of the Cell. 23(11). 2213–2225. 37 indexed citations

9.

Lin, Jyun‐Liang, et al.. (2012). New phenotypes generated by the G57R mutation of BUD23 in Saccharomyces cerevisiae. Yeast. 29(12). 537–546. 5 indexed citations

10.

Yao, Meng-Chao & Ju‐Lan Chao. (2005). RNA-Guided DNA Deletion in Tetrahymena: An RNAi-Based Mechanism for Programmed Genome Rearrangements. Annual Review of Genetics. 39(1). 537–559. 82 indexed citations

11.

Chao, Ju‐Lan, et al.. (2004). Localized Notch signal acts througheygandupdto promote global growth inDrosophilaeye. Development. 131(16). 3839–3847. 111 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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