Liang-Yu Fu

19 total papers · 592 total citations
13 papers, 389 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 389 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 RNA and protein synthesis mechanisms (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 RNA and protein synthesis mechanisms (2 papers). Liang-Yu Fu collaborates with scholars based in China, Germany and United States. 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 Guang‐Zhong Wang 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 381 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Liang-Yu Fu 305 188 50 33 18 13 389
Birgit Pils 328 1.1× 203 1.1× 79 1.6× 22 0.7× 19 1.1× 8 439
Jong Bhak 293 1.0× 74 0.4× 54 1.1× 50 1.5× 19 1.1× 15 416
Sean Davey 319 1.0× 110 0.6× 78 1.6× 33 1.0× 3 0.2× 15 440
Shigeo Fujimori 271 0.9× 94 0.5× 63 1.3× 15 0.5× 13 0.7× 11 346
Jaroslav Kozák 222 0.7× 179 1.0× 17 0.3× 35 1.1× 6 0.3× 23 369
Chunjiao Xia 172 0.6× 212 1.1× 79 1.6× 16 0.5× 5 0.3× 15 353
Robert Ietswaart 334 1.1× 176 0.9× 50 1.0× 47 1.4× 42 2.3× 13 444
Brent V. Edington 287 0.9× 118 0.6× 24 0.5× 25 0.8× 3 0.2× 10 375
Juan Antonio García-Martín 333 1.1× 77 0.4× 77 1.5× 9 0.3× 6 0.3× 20 408
Hung-Chi Liu 287 0.9× 207 1.1× 32 0.6× 9 0.3× 3 0.2× 10 435

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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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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