Yu‐Ru Lin

3.1k total citations · 1 hit paper
16 papers, 2.1k citations indexed

About

Yu‐Ru Lin is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Yu‐Ru Lin has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Yu‐Ru Lin's work include Identification and Quantification in Food (3 papers), Genomics and Phylogenetic Studies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Yu‐Ru Lin is often cited by papers focused on Identification and Quantification in Food (3 papers), Genomics and Phylogenetic Studies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Yu‐Ru Lin collaborates with scholars based in China, United States and Taiwan. Yu‐Ru Lin's co-authors include Bin Wang, Xiucai Zhao, Qinlong Zhu, Yuanling Chen, Yao‐Guang Liu, Jingxin Guo, Yongyao Xie, Rongxin Shen, Heying Li and Qunyu Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Yu‐Ru Lin

15 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Robust CRISPR/Cas9 System for Convenient, High-Efficiency Multiplex Genome Editing in Monocot and Dicot Plants

2015 1.7k citations Xingliang Ma, Qunyu Zhang et al. Molecular Plant profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu‐Ru Lin China	10	1.5k	1.3k	201	133	93	16	2.1k
Yuan Cheng China	23	1.1k 0.8×	1.4k 1.0×	80 0.4×	93 0.7×	86 0.9×	61	2.0k
Sang Hee Kim South Korea	25	845 0.6×	1.7k 1.3×	83 0.4×	79 0.6×	100 1.1×	89	2.3k
Hongyang Du China	16	448 0.3×	713 0.5×	42 0.2×	48 0.4×	53 0.6×	35	1.0k
Jie Zhao China	26	1.6k 1.1×	1.9k 1.4×	292 1.5×	36 0.3×	66 0.7×	111	2.5k
Zhonglin Mou United States	32	2.3k 1.6×	4.5k 3.4×	62 0.3×	332 2.5×	98 1.1×	75	5.4k
Mustapha Aouida Qatar	18	913 0.6×	395 0.3×	86 0.4×	62 0.5×	54 0.6×	43	1.1k
Sadanandam Abbagani India	18	728 0.5×	546 0.4×	51 0.3×	33 0.2×	119 1.3×	60	1.1k
Soichi Inagaki Japan	20	1.2k 0.8×	1.3k 1.0×	69 0.3×	28 0.2×	53 0.6×	34	1.7k
Marina Franceschetti United Kingdom	27	1.4k 1.0×	1.9k 1.4×	67 0.3×	71 0.5×	197 2.1×	51	2.7k
Yoriko Sawano Japan	16	989 0.7×	904 0.7×	86 0.4×	61 0.5×	71 0.8×	43	1.7k

Countries citing papers authored by Yu‐Ru Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Ru Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Ru Lin

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

All Works

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16 of 16 papers shown

Zhan, Ke, Chuanfei Li, Li Gan, et al.. (2025). Long non-coding RNA ANRIL/p65 negative feedback loop protects intestinal barrier function in inflammatory bowel disease. Non-coding RNA Research. 12. 167–179. 1 indexed citations

Zhang, Lin, Li Gan, Yu‐Ru Lin, Zhechuan Mei, & Shengtao Liao. (2025). FTO Promotes Hepatocellular Carcinoma Progression by Mediating m6A Modification of BUB1 and Targeting TGF-βR1 to Activate the TGF-β Signaling Pathway. Journal of Clinical and Translational Hepatology. 0(0). 0–0.

Li, Chuanfei, Ya Song, Yu‐Ru Lin, et al.. (2023). Long Non-Coding RNA ANRIL Regulates Inflammatory Factor Expression in Ulcerative Colitis Via the miR-191-5p/SATB1 Axis. Inflammation. 47(2). 513–529. 4 indexed citations

Sahtoe, Danny D., Adrian Coscia, Nur Mustafaoğlu, et al.. (2021). Transferrin receptor targeting by de novo sheet extension. Proceedings of the National Academy of Sciences. 118(17). 26 indexed citations

Lin, Yu‐Ru, K. Rachael Parks, Connor Weidle, et al.. (2020). HIV-1 VRC01 Germline-Targeting Immunogens Select Distinct Epitope-Specific B Cell Receptors. Immunity. 53(4). 840–851.e6. 26 indexed citations

Chen, Xuxu, et al.. (2019). Identification and phylogenetic analysis of the mitogenome fromAcrossocheilus wenchowensis. SHILAP Revista de lepidopterología. 4(1). 1277–1279. 1 indexed citations

Romero, Maria Luisa Romero, Fan Yang, Yu‐Ru Lin, et al.. (2018). Simple yet functional phosphate-loop proteins. Proceedings of the National Academy of Sciences. 115(51). E11943–E11950. 71 indexed citations

Lin, Yu‐Ru, Nobuyasu Koga, S.M. Vorobiev, & David Baker. (2017). Cyclic oligomer design with de novo αβ‐proteins. Protein Science. 26(11). 2187–2194. 9 indexed citations

Wu, Jia‐Rong, et al.. (2016). The Arabidopsis heat‐intolerant 5 (hit5)/enhanced response to aba 1 (era1) mutant reveals the crucial role of protein farnesylation in plant responses to heat stress. New Phytologist. 213(3). 1181–1193. 37 indexed citations

10.

Ma, Xingliang, Qunyu Zhang, Qinlong Zhu, et al.. (2015). A Robust CRISPR/Cas9 System for Convenient, High-Efficiency Multiplex Genome Editing in Monocot and Dicot Plants. Molecular Plant. 8(8). 1274–1284. 1671 indexed citations breakdown →

11.

Lin, Yu‐Ru, Nobuyasu Koga, Rie Koga, et al.. (2015). Control over overall shape and size in de novo designed proteins. Proceedings of the National Academy of Sciences. 112(40). E5478–85. 93 indexed citations

12.

Li, Gaopeng, Wenwen Li, Chen Li, et al.. (2015). Identification and phylogenetic analysis of the mitogenome of S arcocheilichthys parvus Nichols (Cypriniformes: Cyprinidae). Mitochondrial DNA Part A. 27(5). 3542–3543. 1 indexed citations

13.

Wang, Heng, et al.. (2014). Identification and description of the mitochondrial genome of Hemibarbus labeo (Cypriniformes: Cyprinidae). Mitochondrial DNA Part A. 27(6). 3886–3887. 1 indexed citations

14.

Tsai, Chia‐Wen, Kai‐Li Liu, Yu‐Ru Lin, & Wen‐Cheng Kuo. (2013). The mechanisms of carnosic acid attenuates tumor necrosis factor‐α‐mediated inflammation and insulin resistance in 3T3‐L1 adipocytes. Molecular Nutrition & Food Research. 58(4). 654–664. 57 indexed citations

15.

Lii, Chong‐Kuei, Chun‐Yin Huang, Haw‐Wen Chen, et al.. (2011). Diallyl trisulfide suppresses the adipogenesis of 3T3-L1 preadipocytes through ERK activation. Food and Chemical Toxicology. 50(3-4). 478–484. 48 indexed citations

16.

Lin, Yu‐Ru, et al.. (2008). Use of Porous Alginate Sponges for Substantial Chondrocyte Expansion and Matrix Production: Effects of Seeding Density. Biotechnology Progress. 24(2). 452–457. 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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