Liang-Yu Fu

602 total citations
13 papers, 395 citations indexed

About

Liang-Yu Fu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Liang-Yu Fu has authored 13 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Genetics. Recurrent topics in Liang-Yu Fu's work include Genomics and Phylogenetic Studies (4 papers), Genomics and Chromatin Dynamics (3 papers) and Computational Drug Discovery Methods (2 papers). Liang-Yu Fu is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Genomics and Chromatin Dynamics (3 papers) and Computational Drug Discovery Methods (2 papers). Liang-Yu Fu collaborates with scholars based in China, Germany and United Kingdom. Liang-Yu Fu's co-authors include Dijun Chen, Kerstin Kaufmann, Wenhao Yan, Hongyu Zhang, Zhongyi Wang, Ming Chen, Bin‐Guang Ma, Zhaohui He, Zhi-Luo Deng and Pengfei Dong and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Biochemical and Biophysical Research Communications.

In The Last Decade

Liang-Yu Fu

13 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liang-Yu Fu China	12	309	194	50	33	18	13	395
Shigeo Fujimori Japan	8	272 0.9×	94 0.5×	63 1.3×	15 0.5×	13 0.7×	11	346
Birgit Pils Germany	7	329 1.1×	205 1.1×	79 1.6×	22 0.7×	19 1.1×	8	440
Maxim S. Belenikin Russia	12	177 0.6×	196 1.0×	37 0.7×	21 0.6×	7 0.4×	41	393
Robert Ietswaart United States	10	338 1.1×	176 0.9×	50 1.0×	47 1.4×	43 2.4×	13	449
Wenwei Xiong China	14	342 1.1×	243 1.3×	63 1.3×	8 0.2×	15 0.8×	22	470
Noreen F. Rizvi United States	12	471 1.5×	111 0.6×	23 0.5×	61 1.8×	29 1.6×	15	512
Franz Gruber United Kingdom	6	358 1.2×	253 1.3×	47 0.9×	17 0.5×	14 0.8×	12	453
Juan Antonio García-Martín Spain	13	340 1.1×	79 0.4×	77 1.5×	9 0.3×	6 0.3×	20	418
Annette Höglund Germany	7	498 1.6×	81 0.4×	20 0.4×	8 0.2×	22 1.2×	8	551
Élodie Ubrig France	10	278 0.9×	103 0.5×	21 0.4×	28 0.8×	3 0.2×	14	337

Countries citing papers authored by Liang-Yu Fu

Since Specialization

Citations

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

Fields of papers citing papers by Liang-Yu Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang-Yu Fu. 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 Liang-Yu Fu. The network helps show where Liang-Yu Fu may publish in the future.

Co-authorship network of co-authors of Liang-Yu Fu

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

All Works

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13 of 13 papers shown

He, Zhaohui, Xinkai Zhou, Fa Yang, et al.. (2023). Single-cell transcriptome analysis dissects lncRNA-associated gene networks in Arabidopsis. Plant Communications. 5(2). 100717–100717. 13 indexed citations

He, Zhaohui, Ruidong Chen, Liang-Yu Fu, et al.. (2023). scPlant: A versatile framework for single-cell transcriptomic data analysis in plants. Plant Communications. 4(5). 100631–100631. 17 indexed citations

Fu, Liang-Yu, Tao Zhu, Zhaohui He, et al.. (2022). ChIP-Hub provides an integrative platform for exploring plant regulome. Nature Communications. 13(1). 3413–3413. 44 indexed citations

Chen, Dijun, Wenhao Yan, Liang-Yu Fu, & Kerstin Kaufmann. (2018). Architecture of gene regulatory networks controlling flower development in Arabidopsis thaliana. Nature Communications. 9(1). 4534–4534. 135 indexed citations

Chen, Dijun, et al.. (2018). The HTPmod Shiny application enables modeling and visualization of large-scale biological data. Communications Biology. 1(1). 89–89. 13 indexed citations

Liu, Yongjing, Liang-Yu Fu, Kerstin Kaufmann, Dijun Chen, & Ming Chen. (2018). A practical guide for DNase-seq data analysis: from data management to common applications. Briefings in Bioinformatics. 20(5). 1865–1877. 13 indexed citations

Xie, Ting, Liang-Yu Fu, Qingyong Yang, et al.. (2015). Spatial features for Escherichia coli genome organization. BMC Genomics. 16(1). 37–37. 16 indexed citations

Chen, Dijun, Liang-Yu Fu, Zhao Zhang, et al.. (2013). Dissecting the chromatin interactome of microRNA genes. Nucleic Acids Research. 42(5). 3028–3043. 26 indexed citations

Sun, Huiyong, et al.. (2013). Structural and Energetic Analyses of SNPs in Drug Targets and Implications for Drug Therapy. Journal of Chemical Information and Modeling. 53(12). 3343–3351. 23 indexed citations

10.

Peng, Cheng, Liang-Yu Fu, Pengfei Dong, et al.. (2013). The sequencing bias relaxed characteristics of Hi-C derived data and implications for chromatin 3D modeling. Nucleic Acids Research. 41(19). e183–e183. 42 indexed citations

11.

Wang, Zhongyi, Min Xiong, Liang-Yu Fu, & Hongyu Zhang. (2012). Oxidative DNA damage is important to the evolution of antibiotic resistance: evidence of mutation bias and its medicinal implications. Journal of Biomolecular Structure and Dynamics. 31(7). 729–733. 10 indexed citations

12.

Wang, Zhongyi, Liang-Yu Fu, & Hongyu Zhang. (2011). Can medical genetics and evolutionary biology inspire drug target identification?. Trends in Molecular Medicine. 18(2). 69–71. 19 indexed citations

13.

Fu, Liang-Yu, Guang‐Zhong Wang, Bin‐Guang Ma, & Hongyu Zhang. (2011). Exploring the common molecular basis for the universal DNA mutation bias: Revival of Löwdin mutation model. Biochemical and Biophysical Research Communications. 409(3). 367–371. 24 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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