Kai‐Ren Luo

408 total citations
10 papers, 302 citations indexed

About

Kai‐Ren Luo is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Kai‐Ren Luo has authored 10 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Kai‐Ren Luo's work include Plant Molecular Biology Research (5 papers), Pain Mechanisms and Treatments (3 papers) and Plant Virus Research Studies (2 papers). Kai‐Ren Luo is often cited by papers focused on Plant Molecular Biology Research (5 papers), Pain Mechanisms and Treatments (3 papers) and Plant Virus Research Studies (2 papers). Kai‐Ren Luo collaborates with scholars based in Taiwan and United States. Kai‐Ren Luo's co-authors include Tien‐Shin Yu, Nien‐Chen Huang, Sung‐Tsang Hsieh, Chi‐Chao Chao, Chen‐Jee Hong, Ying‐Jay Liou, Shih‐Jen Tsai, Hung‐Wei Kan, June‐Horng Lue and Whei‐Min Lin and has published in prestigious journals such as Diabetes Care, PLANT PHYSIOLOGY and Annals of Neurology.

In The Last Decade

Kai‐Ren Luo

10 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai‐Ren Luo Taiwan	8	126	88	81	46	34	10	302
Zuchra Zakirova United States	10	150 1.2×	33 0.4×	62 0.8×	85 1.8×	94 2.8×	10	396
Eun-Jung Kim South Korea	10	138 1.1×	15 0.2×	55 0.7×	49 1.1×	22 0.6×	14	394
Aditi Phadke United States	8	226 1.8×	13 0.1×	85 1.0×	76 1.7×	29 0.9×	10	407
Meysam Hassani Moghaddam Iran	10	144 1.1×	15 0.2×	44 0.5×	76 1.7×	83 2.4×	39	413
Xinfa Lou China	11	71 0.6×	13 0.1×	95 1.2×	35 0.8×	18 0.5×	24	347
Jacob W. Skovira United States	10	65 0.5×	241 2.7×	48 0.6×	85 1.8×	43 1.3×	13	513
Wei Di China	12	182 1.4×	72 0.8×	82 1.0×	68 1.5×	29 0.9×	13	468
Xixia Chu China	7	128 1.0×	45 0.5×	70 0.9×	31 0.7×	10 0.3×	10	288
Taihung Duong United States	11	100 0.8×	59 0.7×	262 3.2×	65 1.4×	48 1.4×	13	442

Countries citing papers authored by Kai‐Ren Luo

Since Specialization

Citations

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

Fields of papers citing papers by Kai‐Ren Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Ren Luo. 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 Kai‐Ren Luo. The network helps show where Kai‐Ren Luo may publish in the future.

Co-authorship network of co-authors of Kai‐Ren Luo

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

All Works

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10 of 10 papers shown

1.

Luo, Kai‐Ren, et al.. (2024). Arabidopsis cyclophilins direct intracellular transport of mobile mRNA via organelle hitchhiking. Nature Plants. 10(1). 161–171. 8 indexed citations

2.

Huang, Nien‐Chen, Kai‐Ren Luo, & Tien‐Shin Yu. (2022). Development of a split fluorescent protein-based RNA live-cell imaging system to visualize mRNA distribution in plants. Plant Methods. 18(1). 15–15. 4 indexed citations

3.

Luo, Kai‐Ren, Nien‐Chen Huang, & Tien‐Shin Yu. (2020). In Vivo Imaging of Mobile mRNAs in Plants Using MS2. Methods in molecular biology. 2166. 145–155. 1 indexed citations

4.

Huang, Nien‐Chen, Kai‐Ren Luo, & Tien‐Shin Yu. (2018). Mobility of Antiflorigen and PEBP mRNAs in Tomato-Tobacco Heterografts. PLANT PHYSIOLOGY. 178(2). 783–794. 35 indexed citations

5.

Luo, Kai‐Ren, Nien‐Chen Huang, & Tien‐Shin Yu. (2018). Selective Targeting of Mobile mRNAs to Plasmodesmata for Cell-to-Cell Movement. PLANT PHYSIOLOGY. 177(2). 604–614. 50 indexed citations

6.

Chao, Chi‐Chao, Kai‐Ren Luo, Hung‐Wei Kan, et al.. (2015). Sudomotor innervation in transthyretin amyloid neuropathy: Pathology and functional correlates. Annals of Neurology. 78(2). 272–283. 49 indexed citations

7.

Luo, Kai‐Ren, et al.. (2012). Effect of Glycemic Control on Sudomotor Denervation in Type 2 Diabetes. Diabetes Care. 35(3). 612–616. 41 indexed citations

8.

Luo, Kai‐Ren, et al.. (2011). Quantitation of Sudomotor Innervation in Skin Biopsies of Patients With Diabetic Neuropathy. Journal of Neuropathology & Experimental Neurology. 70(10). 930–938. 31 indexed citations

9.

Luo, Kai‐Ren, et al.. (2010). Differential regulation of neurotrophin S100B and BDNF in two rat models of depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 34(8). 1433–1439. 63 indexed citations

10.

Lin, Yen‐Yu, To-Jung Tseng, Yu‐Lin Hsieh, et al.. (2008). Depletion of peptidergic innervation in the gastric mucosa of streptozotocin-induced diabetic rats. Experimental Neurology. 213(2). 388–396. 20 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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