C. S. Ying

1.5k total citations
9 papers, 1.2k citations indexed

About

C. S. Ying is a scholar working on Plant Science, Genetics and Cell Biology. According to data from OpenAlex, C. S. Ying has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 7 papers in Genetics and 1 paper in Cell Biology. Recurrent topics in C. S. Ying's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Rice Cultivation and Yield Improvement (5 papers) and Genetics and Plant Breeding (3 papers). C. S. Ying is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Rice Cultivation and Yield Improvement (5 papers) and Genetics and Plant Breeding (3 papers). C. S. Ying collaborates with scholars based in China, United States and Philippines. C. S. Ying's co-authors include Hanwei Mei, Lijun Luo, Andrew H. Paterson, J. W. Stansel, Rodante E. Tabien, Xinqiao Yu, Longbiao Guo, Z. K. Li, G. S. Khush and Qingyao Shu and has published in prestigious journals such as Genetics, Theoretical and Applied Genetics and Molecular and General Genetics MGG.

In The Last Decade

C. S. Ying

9 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. S. Ying China	7	1.1k	995	106	66	33	9	1.2k
Q. Zhang China	9	1.1k 1.0×	773 0.8×	148 1.4×	45 0.7×	24 0.7×	11	1.1k
Z. K. Li China	13	1.2k 1.1×	928 0.9×	76 0.7×	50 0.8×	16 0.5×	16	1.2k
C. D. Gustus United States	8	692 0.6×	424 0.4×	224 2.1×	48 0.7×	84 2.5×	9	817
Xianrong Zhao China	8	656 0.6×	337 0.3×	249 2.3×	101 1.5×	37 1.1×	11	770
Barbara Meisel Kenya	10	521 0.5×	327 0.3×	161 1.5×	79 1.2×	62 1.9×	14	643
Katherine Houchins United States	11	537 0.5×	385 0.4×	192 1.8×	37 0.6×	14 0.4×	11	676
Giorgio Pea Italy	11	1.1k 0.9×	503 0.5×	448 4.2×	62 0.9×	75 2.3×	13	1.1k
Mary A. Rupe United States	8	840 0.8×	472 0.5×	381 3.6×	51 0.8×	9 0.3×	9	972
Bhoja R. Basnet Mexico	20	1.2k 1.1×	483 0.5×	255 2.4×	198 3.0×	53 1.6×	35	1.3k
Hanyong Yu China	15	670 0.6×	446 0.4×	126 1.2×	18 0.3×	13 0.4×	30	727

Countries citing papers authored by C. S. Ying

Since Specialization

Citations

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

Fields of papers citing papers by C. S. Ying

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. S. Ying. 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 C. S. Ying. The network helps show where C. S. Ying may publish in the future.

Co-authorship network of co-authors of C. S. Ying

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

All Works

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9 of 9 papers shown

Mei, Hanwei, Jianlong Xu, Z. K. Li, et al.. (2005). QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.). Theoretical and Applied Genetics. 112(4). 648–656. 87 indexed citations

Mei, Hanwei, Z. K. Li, Qingyao Shu, et al.. (2005). Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two backcross populations. Theoretical and Applied Genetics. 110(4). 649–659. 160 indexed citations

Mei, Hanwei, Lijun Luo, C. S. Ying, et al.. (2003). Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two testcross populations. Theoretical and Applied Genetics. 107(1). 89–101. 240 indexed citations

Guo, Longbiao, Lijun Luo, Yongzhong Xing, et al.. (2002). QTL Mapping and Interaction Analysis for the Important Agronomic Traits of Shanyou 63 Recombinant Inbred Lines in Rice. Journal of Pharmaceutical and Biomedical Sciences. 10(4). 327–333. 4 indexed citations

Mei, Hanwei, Lijun Luo, Longbiao Guo, et al.. (2002). [Molecular mapping of QTLs for rice milling yield traits].. PubMed. 29(9). 791–7. 13 indexed citations

Luo, Lijun, Hanwei Mei, Qi Shu, et al.. (2001). Overdominant Epistatic Loci Are the Primary Genetic Basis of Inbreeding Depression and Heterosis in Rice. II. Grain Yield Components. Genetics. 158(4). 1755–1771. 239 indexed citations

Li, Zhikang, Lijun Luo, Hanwei Mei, et al.. (2001). Overdominant Epistatic Loci Are the Primary Genetic Basis of Inbreeding Depression and Heterosis in Rice. I. Biomass and Grain Yield. Genetics. 158(4). 1737–1753. 355 indexed citations

Luo, Lijun, Hanwei Mei, Andrew H. Paterson, et al.. (1999). A “defeated” rice resistance gene acts as a QTL against a virulent strain of Xanthomonas oryzae pv. oryzae. Molecular and General Genetics MGG. 261(1). 58–63. 130 indexed citations

Luo, Lijun, Hanwei Mei, Xinhua Zhao, et al.. (1998). RFLP mapping and race specificity of bacterial blight resistance genes (QTLs) in rice. Science in China Series C Life Sciences. 41(5). 542–547. 2 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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