Ming‐Ren Yen

2.2k total citations
39 papers, 1.7k citations indexed

About

Ming‐Ren Yen is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ming‐Ren Yen has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Plant Science and 10 papers in Genetics. Recurrent topics in Ming‐Ren Yen's work include Epigenetics and DNA Methylation (11 papers), RNA modifications and cancer (9 papers) and Plant Molecular Biology Research (7 papers). Ming‐Ren Yen is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), RNA modifications and cancer (9 papers) and Plant Molecular Biology Research (7 papers). Ming‐Ren Yen collaborates with scholars based in Taiwan, United States and Japan. Ming‐Ren Yen's co-authors include Milton H. Saier, Yi-Hsiung Tseng, Pao‐Yang Chen, Milton H. Saier, Kevin Harley, Anthony P. Pugsley, Yong Joon Chung, Christopher Peabody, Dominique Vidal-Ingigliardi and Lothar Eggeling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ming‐Ren Yen

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming‐Ren Yen Taiwan	20	1.2k	546	314	254	128	39	1.7k
Axel Müller United Kingdom	13	807 0.7×	358 0.7×	340 1.1×	185 0.7×	125 1.0×	16	1.3k
R. Schmitt Germany	24	908 0.7×	488 0.9×	480 1.5×	370 1.5×	69 0.5×	46	1.7k
Doreen E. Culham Canada	22	1.1k 0.9×	650 1.2×	297 0.9×	154 0.6×	173 1.4×	40	1.6k
Wieland Steinchen Germany	24	1.1k 0.9×	691 1.3×	166 0.5×	321 1.3×	121 0.9×	61	1.5k
Marc Bramkamp Germany	30	1.5k 1.2×	1.0k 1.9×	179 0.6×	520 2.0×	131 1.0×	79	2.1k
William R. McCleary United States	21	1.6k 1.3×	1.1k 2.0×	259 0.8×	327 1.3×	151 1.2×	23	2.2k
Christina Herrmann Germany	18	971 0.8×	399 0.7×	191 0.6×	188 0.7×	86 0.7×	22	1.4k
Matt Pearce United Kingdom	4	878 0.7×	211 0.4×	251 0.8×	145 0.6×	66 0.5×	8	1.5k
Florian Altegoer Germany	20	735 0.6×	418 0.8×	198 0.6×	204 0.8×	91 0.7×	38	1.0k
Alessandra M. Albertini Italy	22	1.5k 1.3×	569 1.0×	273 0.9×	241 0.9×	52 0.4×	32	1.9k

Countries citing papers authored by Ming‐Ren Yen

Since Specialization

Citations

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

Fields of papers citing papers by Ming‐Ren Yen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Ren Yen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yen, Ming‐Ren, Yaru Li, Chia‐Yi Cheng, Ting‐Ying Wu, & Ming‐Jung Liu. (2025). TISCalling: leveraging machine learning to identify translational initiation sites in plants and viruses. Plant Molecular Biology. 115(4). 102–102.

Yen, Ming‐Ren, et al.. (2024). Epigenetic factors direct synergistic and antagonistic regulation of transposable elements in Arabidopsis. PLANT PHYSIOLOGY. 196(3). 1939–1952.

Yen, Ming‐Ren, et al.. (2024). Predicting protein synergistic effect in Arabidopsis using epigenome profiling. Nature Communications. 15(1). 9160–9160. 1 indexed citations

Chang, Ju‐Chun, et al.. (2023). Whole-genome DNA methylome analysis of different developmental stages of the entomopathogenic fungus Beauveria bassiana NCHU-157 by nanopore sequencing. Frontiers in Genetics. 14. 1085631–1085631. 3 indexed citations

Yen, Ming‐Ren, et al.. (2023). Methylome Imputation by Methylation Patterns. Methods in molecular biology. 2624. 115–126. 1 indexed citations

Lu, Rita Jui-Hsien, et al.. (2023). MethylC-analyzer: a comprehensive downstream pipeline for the analysis of genome-wide DNA methylation. Botanical studies. 64(1). 1–1. 2 indexed citations

Kuo, Feng-Chih, Yu‐Chun Huang, Ming‐Ren Yen, et al.. (2022). Aberrant overexpression of HOTAIR inhibits abdominal adipogenesis through remodelling of genome-wide DNA methylation and transcription. Molecular Metabolism. 60. 101473–101473. 16 indexed citations

Huang, Yu‐Feng, et al.. (2021). Transcriptome-level assessment of the impact of deformed wing virus on honey bee larvae. Scientific Reports. 11(1). 15028–15028. 4 indexed citations

Lu, Rita Jui-Hsien, et al.. (2021). ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq. Frontiers in Genetics. 11. 618478–618478. 11 indexed citations

10.

Nai, Yu‐Shin, Yu‐Chun Huang, Ming‐Ren Yen, & Pao‐Yang Chen. (2021). Diversity of Fungal DNA Methyltransferases and Their Association With DNA Methylation Patterns. Frontiers in Microbiology. 11. 616922–616922. 39 indexed citations

11.

Tran, Phuong, Ming‐Ren Yen, Chen‐Yu Chiang, Hsiao‐Ching Lin, & Pao‐Yang Chen. (2019). Detecting and prioritizing biosynthetic gene clusters for bioactive compounds in bacteria and fungi. Applied Microbiology and Biotechnology. 103(8). 3277–3287. 69 indexed citations

12.

Yen, Ming‐Ren, et al.. (2018). Computational Methods for Assessing Chromatin Hierarchy. Computational and Structural Biotechnology Journal. 16. 43–53. 22 indexed citations

13.

Hsu, Fei‐Man, et al.. (2017). Optimized reduced representation bisulfite sequencing reveals tissue-specific mCHH islands in maize. Epigenetics & Chromatin. 10(1). 42–42. 12 indexed citations

14.

Lee, Serena A., et al.. (2016). Stage-Specific Demethylation in Primordial Germ Cells Safeguards against Precocious Differentiation. Developmental Cell. 39(1). 75–86. 84 indexed citations

15.

Swamy, Krishna B. S., et al.. (2014). Examining the condition-specific antisense transcription in S. cerevisiae and S. paradoxus. BMC Genomics. 15(1). 521–521. 6 indexed citations

16.

Yen, Ming‐Ren, et al.. (2006). Topological Predictions for Integral Membrane Permeases of the Phosphoenolpyruvate:Sugar Phosphotransferase System. Microbial Physiology. 11(6). 345–360. 28 indexed citations

17.

Yen, Ming‐Ren, et al.. (2004). The YedZ Family: Possible Heme Binding Proteins That Can Be Fused to Transporters and Electron Carriers. Microbial Physiology. 8(3). 129–140. 20 indexed citations

18.

Yen, Ming‐Ren, Yi-Hsiung Tseng, Petra Šimić, et al.. (2002). The ubiquitous ThrE family of putative transmembrane amino acid efflux transporters. Research in Microbiology. 153(1). 19–25. 26 indexed citations

19.

Yen, Ming‐Ren, et al.. (2002). . Archives of Microbiology. 177(6). 441–450. 142 indexed citations

20.

Yen, Ming‐Ren, Kevin Harley, Yi-Hsiung Tseng, & Milton H. Saier. (2001). Phylogenetic and structural analyses of the oxa1 family of protein translocases. FEMS Microbiology Letters. 204(2). 223–231. 283 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.

Explore authors with similar magnitude of impact