Fu‐Jin Wei

1.4k total citations
22 papers, 498 citations indexed

About

Fu‐Jin Wei is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Fu‐Jin Wei has authored 22 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 11 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Fu‐Jin Wei's work include Genetic Mapping and Diversity in Plants and Animals (10 papers), GABA and Rice Research (6 papers) and Plant Reproductive Biology (5 papers). Fu‐Jin Wei is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), GABA and Rice Research (6 papers) and Plant Reproductive Biology (5 papers). Fu‐Jin Wei collaborates with scholars based in Taiwan, Japan and United States. Fu‐Jin Wei's co-authors include Yue‐Ie Hsing, Cheng‐Chieh Wu, Hshin‐Ping Wu, Yann‐Rong Lin, Yong‐Pei Wu, Anthony H. C. Huang, Ming‐Der Huang, Emmanuel Guiderdoni, Gaëtan Droc and Christel Llauro and has published in prestigious journals such as Nature Communications, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Fu‐Jin Wei

22 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fu‐Jin Wei Taiwan	14	424	253	168	36	28	22	498
Shiveta Sharma India	11	480 1.1×	146 0.6×	131 0.8×	15 0.4×	24 0.9×	20	527
Ruci Wang China	9	482 1.1×	183 0.7×	210 1.3×	13 0.4×	15 0.5×	11	540
Sandra Giancola France	12	574 1.4×	481 1.9×	151 0.9×	12 0.3×	41 1.5×	13	720
Yinghua Ling China	16	836 2.0×	452 1.8×	288 1.7×	10 0.3×	24 0.9×	57	878
B. C. Viraktamath India	13	532 1.3×	132 0.5×	241 1.4×	13 0.4×	22 0.8×	28	567
Lifeng Gao China	14	648 1.5×	193 0.8×	275 1.6×	8 0.2×	27 1.0×	25	705
Rajender Singh India	13	422 1.0×	80 0.3×	125 0.7×	11 0.3×	25 0.9×	36	460
Piotr Masojć Poland	15	809 1.9×	145 0.6×	343 2.0×	30 0.8×	31 1.1×	44	841
Mi‐Ok Woo South Korea	13	670 1.6×	224 0.9×	244 1.5×	53 1.5×	17 0.6×	25	728
Pavla Suchánková Czechia	14	726 1.7×	198 0.8×	166 1.0×	7 0.2×	35 1.3×	17	767

Countries citing papers authored by Fu‐Jin Wei

Since Specialization

Citations

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

Fields of papers citing papers by Fu‐Jin Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Jin Wei. 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 Fu‐Jin Wei. The network helps show where Fu‐Jin Wei may publish in the future.

Co-authorship network of co-authors of Fu‐Jin Wei

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

All Works

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20 of 20 papers shown

Wei, Fu‐Jin, et al.. (2021). Construction of a reference transcriptome for the analysis of male sterility in sugi (Cryptomeria japonica D. Don) focusing on MALE STERILITY 1 (MS1). PLoS ONE. 16(2). e0247180–e0247180. 5 indexed citations

Hasegawa, Yoichi, Saneyoshi Ueno, Fu‐Jin Wei, et al.. (2021). Identification and genetic diversity analysis of a male-sterile gene (MS1) in Japanese cedar (Cryptomeria japonica D. Don). Scientific Reports. 11(1). 1496–1496. 21 indexed citations

Wu, Cheng‐Chieh, et al.. (2020). Studies of rice Hd1 haplotypes worldwide reveal adaptation of flowering time to different environments. PLoS ONE. 15(9). e0239028–e0239028. 20 indexed citations

Ueno, Saneyoshi, Fu‐Jin Wei, Asako Matsumoto, et al.. (2020). Development of diagnostic PCR and LAMP markers for MALE STERILITY 1 (MS1) in Cryptomeria japonica D. Don. BMC Research Notes. 13(1). 457–457. 15 indexed citations

Worth, James R. P., Luxian Liu, Fu‐Jin Wei, & Nobuhiro Tomaru. (2019). The complete chloroplast genome of Fagus crenata (subgenus Fagus ) and comparison with F. engleriana (subgenus Engleriana ). PeerJ. 7. e7026–e7026. 14 indexed citations

Ueno, Saneyoshi, Kentaro Uchiyama, Yoshinari Moriguchi, et al.. (2019). Scanning RNA-Seq and RAD-Seq approach to develop SNP markers closely linked to MALE STERILITY 1 (MS1) in Cryptomeria japonica D. Don. Breeding Science. 69(1). 19–29. 15 indexed citations

Carpentier, Marie‐Christine, Fu‐Jin Wei, Hshin‐Ping Wu, et al.. (2018). Retrotranspositional landscape of Asian rice revealed by 3000 genomes. Nature Communications. 10(1). 24–24. 87 indexed citations

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

Wei, Fu‐Jin, Lin‐Yun Kuang, Hshin‐Ping Wu, et al.. (2016). Somaclonal variation does not preclude the use of rice transformants for genetic screening. The Plant Journal. 85(5). 648–659. 28 indexed citations

10.

Chen, Hsuan, et al.. (2015). Distribution of new satellites and simple sequence repeats in annual and perennial Glycine species. Botanical studies. 56(1). 22–22. 4 indexed citations

11.

Wei, Fu‐Jin, Hshin‐Ping Wu, Yu‐Chi Chen, et al.. (2015). Both Hd1 and Ehd1 are important for artificial selection of flowering time in cultivated rice. Plant Science. 242. 187–194. 31 indexed citations

12.

Wu, Yong‐Pei, et al.. (2014). Genetic factors responsible for eating and cooking qualities of rice grains in a recombinant inbred population of an inter-subspecific cross. Molecular Breeding. 34(2). 655–673. 57 indexed citations

13.

Wei, Fu‐Jin, Gaëtan Droc, Emmanuel Guiderdoni, & Yue‐Ie Hsing. (2013). International Consortium of Rice Mutagenesis: resources and beyond. Rice. 6(1). 39–39. 40 indexed citations

14.

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

15.

Ma, Shoucai, et al.. (2011). Identification and expression analysis of genes related to multi-ovary in wheat (Triticum aestivum L.). Seed Science and Technology. 39(1). 54–73. 7 indexed citations

16.

Fan, Ming‐Jen, Su‐May Yu, Fu‐Jin Wei, et al.. (2010). Methods for Rice Phenomics Studies. Methods in molecular biology. 678. 129–138. 4 indexed citations

17.

Shih, Ming‐Der, et al.. (2010). OsLEA1a, a New Em-Like Protein of Cereal Plants. Plant and Cell Physiology. 51(12). 2132–2144. 18 indexed citations

18.

Wu, Yong‐Pei, Wei‐Chia Lee, Fu‐Jin Wei, et al.. (2010). Comparative analyses of linkage maps and segregation distortion of two F2 populations derived from japonica crossed with indica rice. Hereditas. 147(5). 225–236. 25 indexed citations

19.

Huang, Ming‐Der, Fu‐Jin Wei, Cheng‐Chieh Wu, Yue‐Ie Hsing, & Anthony H. C. Huang. (2008). Analyses of Advanced Rice Anther Transcriptomes Reveal Global Tapetum Secretory Functions and Potential Proteins for Lipid Exine Formation . PLANT PHYSIOLOGY. 149(2). 694–707. 60 indexed citations

20.

Hour, Ai‐Ling, et al.. (2007). Detection of SNPs between Tainung 67 and Nipponbare rice cultivars. Botanical studies. 48(3). 243–253. 4 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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