Zechuan Lin

915 total citations
20 papers, 303 citations indexed

About

Zechuan Lin is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Zechuan Lin has authored 20 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 15 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Zechuan Lin's work include Genetic Mapping and Diversity in Plants and Animals (15 papers), Rice Cultivation and Yield Improvement (10 papers) and Genetic and phenotypic traits in livestock (5 papers). Zechuan Lin is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (15 papers), Rice Cultivation and Yield Improvement (10 papers) and Genetic and phenotypic traits in livestock (5 papers). Zechuan Lin collaborates with scholars based in China, Australia and United States. Zechuan Lin's co-authors include Hang He, Xing Wang Deng, Liyong Cao, Feng Yue, Renbo Yu, Shihua Cheng, Rongrong Zhai, Xinghua Wei, Haodong Chen and Xiaodeng Zhan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Zechuan Lin

20 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zechuan Lin China 12 271 168 66 15 14 20 303
Sukumar Mesapogu India 9 324 1.2× 148 0.9× 41 0.6× 12 0.8× 6 0.4× 14 356
Yosuke Kuroda Japan 11 284 1.0× 104 0.6× 92 1.4× 36 2.4× 5 0.4× 26 335
Junghyun Shim Philippines 11 282 1.0× 139 0.8× 75 1.1× 9 0.6× 5 0.4× 20 301
Tiffany Jamann United States 13 438 1.6× 220 1.3× 67 1.0× 8 0.5× 10 0.7× 32 474
Yuange Wang China 10 382 1.4× 129 0.8× 135 2.0× 12 0.8× 10 0.7× 10 431
Teresa B. De Leon United States 9 407 1.5× 186 1.1× 62 0.9× 5 0.3× 24 1.7× 12 424
Alejandro Beltr n Ortega United States 3 185 0.7× 128 0.8× 48 0.7× 11 0.7× 20 1.4× 4 222
Zhengyuan Dai China 11 392 1.4× 196 1.2× 98 1.5× 6 0.4× 5 0.4× 18 415
Eguru Sreenivasa Rao India 10 259 1.0× 113 0.7× 45 0.7× 18 1.2× 10 0.7× 41 291

Countries citing papers authored by Zechuan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Zechuan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zechuan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Zechuan Lin. A scholar is included among the top collaborators of Zechuan 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 Zechuan Lin. Zechuan 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.
Cheng, Jia, Chih‐Jen Yang, Le Zhang, et al.. (2025). The competitive effects of crop straw return and nitrogen fertilization on soil acidification. Agriculture Ecosystems & Environment. 388. 109638–109638. 3 indexed citations
2.
Fu, Jun, Yilin Zhang, Yanfeng Li, et al.. (2022). Transcriptome profiling of two super hybrid rice provides insights into the genetic basis of heterosis. BMC Plant Biology. 22(1). 314–314. 18 indexed citations
3.
Wen, Xiaoxia, Peng Xu, Zechuan Lin, et al.. (2022). qHD5 encodes an AP2 factor that suppresses rice heading by down-regulating Ehd2 expression. Plant Science. 324. 111446–111446. 2 indexed citations
4.
Cui, Di, Han Zhou, Xiaoding Ma, et al.. (2022). Genomic insights on the contribution of introgressions from Xian/Indica to the genetic improvement of Geng/Japonica rice cultivars. Plant Communications. 3(3). 100325–100325. 15 indexed citations
5.
Lin, Zechuan, Peng Qin, Zhen Huang, et al.. (2020). Divergent selection and genetic introgression shape the genome landscape of heterosis in hybrid rice. Proceedings of the National Academy of Sciences. 117(9). 4623–4631. 52 indexed citations
6.
Wang, Xiaoyi, Renbo Yu, Jiajun Wang, et al.. (2020). The Asymmetric Expression of SAUR Genes Mediated by ARF7/19 Promotes the Gravitropism and Phototropism of Plant Hypocotyls. Cell Reports. 31(3). 107529–107529. 44 indexed citations
7.
Li, Hong, Shuqin Jiang, Chen Li, et al.. (2019). The hybrid protein interactome contributes to rice heterosis as epistatic effects. The Plant Journal. 102(1). 116–128. 11 indexed citations
8.
Wang, Xiaoyi, Renbo Yu, Jiajun Wang, et al.. (2019). The Asymmetric Expression of <i>SAUR</i> Genes Mediated by ARF7/19 Promotes the Gravitropism and Phototropism of Plant Hypocotyls. SSRN Electronic Journal. 1 indexed citations
9.
Chen, Shaoxia, Zechuan Lin, Degui Zhou, et al.. (2017). Genome-wide study of an elite rice pedigree reveals a complex history of genetic architecture for breeding improvement. Scientific Reports. 7(1). 45685–45685. 10 indexed citations
10.
Zhan, Xiaodeng, Zechuan Lin, Weixun Wu, et al.. (2016). Fine mapping and candidate gene analysis of qHD5, a novel major QTL with pleiotropism for yield-related traits in rice (Oryza sativa L.). Theoretical and Applied Genetics. 130(1). 247–258. 15 indexed citations
11.
Zhan, Xiaodeng, Zechuan Lin, Ping Yu, et al.. (2015). Genetic mapping of a QTL controlling source–sink size and heading date in rice. Gene. 571(2). 263–270. 16 indexed citations
12.
Zhou, Degui, Wei Chen, Zechuan Lin, et al.. (2015). Pedigree‐based analysis of derivation of genome segments of an elite rice reveals key regions during its breeding. Plant Biotechnology Journal. 14(2). 638–648. 30 indexed citations
13.
Yue, Feng, et al.. (2015). Quantitative Trait Locus Analysis for Rice Yield Traits under Two Nitrogen Levels. Rice Science. 22(3). 108–115. 25 indexed citations
14.
Lin, Zechuan, et al.. (2014). QTL mapping of heading date and yield-related traits in rice using a recombination inbred lines (RILs) population derived from BG1/XLJ.. Zhongguo shuidao kexue. 28(6). 570–580. 5 indexed citations
15.
Zhai, Rongrong, Feng Yue, Xiaodeng Zhan, et al.. (2013). Identification of Transcriptome SNPs for Assessing Allele-Specific Gene Expression in a Super-Hybrid Rice Xieyou9308. PLoS ONE. 8(4). e60668–e60668. 13 indexed citations
17.
Yue, Feng, Rongrong Zhai, Liyong Cao, et al.. (2011). QTL Analysis for Plant Height and Heading Date in Rice under Two Nitrogen Levels. ACTA AGRONOMICA SINICA. 37(9). 1525–1532. 2 indexed citations
18.
Zhan, Xiaodeng, Zechuan Lin, Yinxin Zhang, et al.. (2011). Mapping of QTLs associated with important agronomic traits using three populations derived from a super hybrid rice Xieyou9308. Euphytica. 184(1). 1–13. 14 indexed citations
19.
Yue, Feng, Rongrong Zhai, Liyong Cao, et al.. (2011). QTLs for Plant Height and Heading Date in Rice Under Two Nitrogen Levels. Acta Agronomica Sinica. 37(9). 1525–1532. 7 indexed citations
20.
Lin, Zechuan, et al.. (1994). A study on the damage and economic threshold of the soyabean aphid at the seedling stage.. 20(4). 12–13. 17 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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