Linqian Han

543 total citations
14 papers, 270 citations indexed

About

Linqian Han is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Linqian Han has authored 14 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Linqian Han's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Genomics and Phylogenetic Studies (4 papers) and Chromosomal and Genetic Variations (3 papers). Linqian Han is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Genomics and Phylogenetic Studies (4 papers) and Chromosomal and Genetic Variations (3 papers). Linqian Han collaborates with scholars based in China and United States. Linqian Han's co-authors include Lin Li, Hongwei Zhang, Fang� Yang, Guoying Wang, Qing Li, Zi Wei Luo, Qingchun Pan, Xi Wang, Liang Dong and Lulu Deng and has published in prestigious journals such as Nature Communications, Genome biology and Cell Reports.

In The Last Decade

Linqian Han

13 papers receiving 263 citations

Peers

Linqian Han

GENET

ACS

Haiying Guan China

April Leonard United States

Yourong Fan China

Shan Meng China

Felix Seifert Germany

Wenjing Meng China

Zhenxing Wang China

Carolina Ballén‐Taborda United States

Sanyang Liu China

H. Busra Cagirici United States

Haiying Guan China

Linqian Han

303 ×1.4

129 ×1.0

118 ×1.0

GENET

22 ×1.1

ACS

11 ×0.6

Citations per year, relative to Linqian Han Linqian Han (= 1×) peers Haiying Guan

Countries citing papers authored by Linqian Han

Since Specialization

Citations

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

Fields of papers citing papers by Linqian Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linqian Han

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

All Works

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14 of 14 papers shown

Han, Linqian, et al.. (2025). Deep neural networks autonomously learn and utilize critical environmental conditions to capture the impacts of weather on spring wheat performance. Computers and Electronics in Agriculture. 237. 110665–110665.

Han, Linqian, Xiaoming Wang, Laura E. Tibbs‐Cortes, et al.. (2025). Integrated phenomic and genomic analyses unveil modes of altered phenotypic plasticity during wheat improvement. Genome biology. 26(1). 256–256. 1 indexed citations

Wang, Xi, Juan Li, Linqian Han, et al.. (2023). QTG-Miner aids rapid dissection of the genetic base of tassel branch number in maize. Nature Communications. 14(1). 5232–5232. 7 indexed citations

Feng, Jia‐Wu, Linqian Han, Hao Liu, et al.. (2023). MaizeNetome: A multi-omics network database for functional genomics in maize. Molecular Plant. 16(8). 1229–1231. 6 indexed citations

Chen, Sijia, et al.. (2023). A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize. Genome biology. 24(1). 60–60. 16 indexed citations

Wang, Xi, Linqian Han, Juan Li, et al.. (2023). Next-generation bulked segregant analysis for Breeding 4.0. Cell Reports. 42(9). 113039–113039. 12 indexed citations

Zhao, Li, Linqian Han, Zi Wei Luo, & Lin Li. (2021). Single‐molecule long‐read sequencing reveals extensive genomic and transcriptomic variation between maize and its wild relative teosinte (Zea mays ssp. parviglumis). Molecular Ecology Resources. 22(1). 272–282. 3 indexed citations

Wu, Leiming, Linqian Han, Qing Li, et al.. (2020). Using Interactome Big Data to Crack Genetic Mysteries and Enhance Future Crop Breeding. Molecular Plant. 14(1). 77–94. 35 indexed citations

Dong, Liang, Ying Zhang, Da Lin, et al.. (2020). 3D genome architecture coordinates trans and cis regulation of differentially expressed ear and tassel genes in maize. Genome biology. 21(1). 143–143. 75 indexed citations

10.

Luo, Zi Wei, et al.. (2019). Circular RNAs exhibit extensive intraspecific variation in maize. Planta. 250(1). 69–78. 15 indexed citations

11.

Han, Linqian, Li Lin, Gary J. Muehlbauer, John E. Fowler, & Matthew M. S. Evans. (2019). RNA Isolation and Analysis of LncRNAs from Gametophytes of Maize. Methods in molecular biology. 1933. 67–86. 1 indexed citations

12.

Zhang, Hongwei, Xi Wang, Qingchun Pan, et al.. (2018). QTG-Seq Accelerates QTL Fine Mapping through QTL Partitioning and Whole-Genome Sequencing of Bulked Segregant Samples. Molecular Plant. 12(3). 426–437. 78 indexed citations

13.

Han, Linqian, et al.. (2018). New lncRNA annotation reveals extensive functional divergence of the transcriptome in maize. Journal of Integrative Plant Biology. 61(4). 394–405. 16 indexed citations

14.

Han, Linqian, et al.. (2016). HYBRID MATRIX FACTORIZATION FOR RECOMMENDER SYSTEMS IN SOCIAL NETWORKS. Neural Network World. 26(6). 559–569. 5 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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