Yann‐Rong Lin

4.5k total citations
40 papers, 2.1k citations indexed

About

Yann‐Rong Lin is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Yann‐Rong Lin has authored 40 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 24 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Yann‐Rong Lin's work include Genetic Mapping and Diversity in Plants and Animals (23 papers), Plant Disease Resistance and Genetics (9 papers) and Chromosomal and Genetic Variations (7 papers). Yann‐Rong Lin is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (23 papers), Plant Disease Resistance and Genetics (9 papers) and Chromosomal and Genetic Variations (7 papers). Yann‐Rong Lin collaborates with scholars based in Taiwan, United States and China. Yann‐Rong Lin's co-authors include Andrew H. Paterson, K. F. Schertz, J. E. Irvine, Keith F. Schertz, Zhikang Li, John Doebley, Sin‐Chieh Liu, J. W. Stansel, Shannon R. M. Pinson and Rod A. Wing and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Yann‐Rong Lin

36 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yann‐Rong Lin Taiwan 19 1.7k 962 510 372 230 40 2.1k
Daryl T. Morishige United States 22 1.6k 0.9× 773 0.8× 913 1.8× 671 1.8× 208 0.9× 33 2.3k
Monique Deu France 27 1.2k 0.7× 914 1.0× 164 0.3× 529 1.4× 197 0.9× 56 1.8k
Punna Ramu United States 21 1.5k 0.9× 955 1.0× 312 0.6× 486 1.3× 59 0.3× 29 2.0k
Jean-Christophe Glaszmann France 30 2.5k 1.5× 832 0.9× 443 0.9× 171 0.5× 738 3.2× 79 2.8k
Samuel P. Hazen United States 30 2.5k 1.5× 400 0.4× 1.7k 3.3× 216 0.6× 308 1.3× 47 3.1k
Chenyang Hao China 30 2.9k 1.7× 1.4k 1.5× 436 0.9× 519 1.4× 60 0.3× 87 3.1k
F. R. Miller United States 21 1.2k 0.7× 492 0.5× 269 0.5× 694 1.9× 139 0.6× 54 1.6k
Kulvinder S. Gill United States 37 4.0k 2.3× 1.5k 1.5× 941 1.8× 480 1.3× 64 0.3× 112 4.4k
Jean‐François Rami France 22 1.3k 0.7× 641 0.7× 203 0.4× 379 1.0× 67 0.3× 44 1.6k
Oscar Riera‐Lizarazu United States 27 2.4k 1.4× 1.1k 1.1× 783 1.5× 373 1.0× 45 0.2× 71 2.7k

Countries citing papers authored by Yann‐Rong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yann‐Rong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yann‐Rong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yann‐Rong Lin. A scholar is included among the top collaborators of Yann‐Rong 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 Yann‐Rong Lin. Yann‐Rong 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.
Lin, Ya‐Tin, et al.. (2025). Progress in the genetics and epigenetics of pelvic floor disorder. Gene. 943. 149277–149277.
2.
Zonneveld, Maarten van, Roeland Kindt, Stepha McMullin, et al.. (2023). Forgotten food crops in sub-Saharan Africa for healthy diets in a changing climate. Proceedings of the National Academy of Sciences. 120(14). e2205794120–e2205794120. 25 indexed citations
3.
4.
Kuo, Yi‐Tzu, et al.. (2021). The Evolutionary Dynamics of Repetitive DNA and Its Impact on the Genome Diversification in the Genus Sorghum. Frontiers in Plant Science. 12. 729734–729734. 9 indexed citations
5.
Mukhtar, Hussnain, et al.. (2019). Relative Abundance of Ammonia Oxidizing Archaea and Bacteria Influences Soil Nitrification Responses to Temperature. Microorganisms. 7(11). 526–526. 18 indexed citations
6.
Chen, Yuru, et al.. (2019). Genetic Variation of Physicochemical Properties and Digestibility of Foxtail Millet (Setaria italica) Landraces of Taiwan. Molecules. 24(23). 4323–4323. 7 indexed citations
7.
Lin, Yann‐Rong, et al.. (2018). Subtropical adaptation of a temperate plant (Brassica oleracea var. italica) utilizes non-vernalization-responsive QTLs. Scientific Reports. 8(1). 13609–13609. 17 indexed citations
8.
Wei, Fu‐Jin, Yuan Chen, Hshin‐Ping Wu, et al.. (2016). Lack of Genotype and Phenotype Correlation in a Rice T-DNA Tagged Line Is Likely Caused by Introgression in the Seed Source. PLoS ONE. 11(5). e0155768–e0155768. 5 indexed citations
9.
Cuevas, Hugo E., Haibao Tang, Sayan Das, et al.. (2016). The Evolution of Photoperiod-Insensitive Flowering in Sorghum, A Genomic Model for Panicoid Grasses. Molecular Biology and Evolution. 33(9). 2417–2428. 35 indexed citations
10.
Wu, Yong‐Pei, Hung‐Ying Lin, Ya-Chen Huang, et al.. (2014). Three novel alleles of FLOURY ENDOSPERM2 ( FLO2 ) confer dull grains with low amylose content in rice. Plant Science. 233. 44–52. 40 indexed citations
11.
Lin, Hung‐Ying, Yong‐Pei Wu, Ai‐Ling Hour, et al.. (2012). Genetic diversity of rice germplasm used in Taiwan breeding programs. Botanical studies. 53(3). 363–376. 23 indexed citations
12.
Lin, Yann‐Rong, et al.. (2011). Mapping of quantitative trait loci for plant height and heading date in two inter-subspecific crosses of rice and comparison across Oryza genus.. Botanical studies. 52(1). 1–14. 13 indexed citations
13.
Lin, Yann‐Rong, et al.. (2006). Two highly representative rice BAC libraries of japonica cv Tainung 67 suitable for rice structural and functional genomic research. Plant Science. 170(4). 889–896. 1 indexed citations
14.
Chao, Ya‐Ting, et al.. (2003). Rice structural and functional genome research in ASPGC, Academia Sinica. 14(4). 201–206.
15.
Paterson, Andrew H., John Bowers, Mark D. Burow, et al.. (2000). Comparative Genomics of Plant Chromosomes. The Plant Cell. 12(9). 1523–1539. 225 indexed citations
16.
Paterson, Andrew H., John Bowers, Mark D. Burow, et al.. (2000). Comparative Genomics of Plant Chromosomes. The Plant Cell. 12(9). 1523–1523. 14 indexed citations
17.
Lin, Yann‐Rong, Li Zhu, Shuxin Ren, et al.. (1999). Lin, Y. et al. A Sorghum propinquum BAC library, suitable for cloning genes associated with loss-of-function mutations during crop domestication. Mol. Breed. 5, 511-520. 9 indexed citations
18.
Paterson, Andrew H., et al.. (1995). The weediness of wild plants: molecular analysis of genes influencing dispersal and persistence of johnsongrass, Sorghum halepense (L.) Pers.. Proceedings of the National Academy of Sciences. 92(13). 6127–6131. 185 indexed citations
19.
Lin, Yann‐Rong, K. F. Schertz, & Andrew H. Paterson. (1995). Comparative analysis of QTLs affecting plant height and maturity across the Poaceae, in reference to an interspecific sorghum population.. Genetics. 141(1). 391–411. 296 indexed citations
20.

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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