Fang Yu

61 total papers · 1.9k total citations
39 papers, 1.4k citations indexed

About

Fang Yu is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Fang Yu has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Hematology. Recurrent topics in Fang Yu's work include RNA modifications and cancer (13 papers), Ubiquitin and proteasome pathways (7 papers) and Epigenetics and DNA Methylation (6 papers). Fang Yu is often cited by papers focused on RNA modifications and cancer (13 papers), Ubiquitin and proteasome pathways (7 papers) and Epigenetics and DNA Methylation (6 papers). Fang Yu collaborates with scholars based in China, United States and Germany. Fang Yu's co-authors include Ileana M. Cristea, Amanda J. Guise, Todd M. Greco, Yang Luo, Preeti Joshi, Alexey I. Nesvizhskii, Zhijian Qian, Chunjie Yu, Chuan He and Jiangbo Wei and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Fang Yu

38 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Fang Yu 1.1k 201 191 169 126 39 1.4k
Zechen Chong 1.1k 1.0× 141 0.7× 204 1.1× 252 1.5× 118 0.9× 32 1.5k
Chao Zhang 1.4k 1.2× 159 0.8× 254 1.3× 105 0.6× 191 1.5× 63 1.8k
Yanxiao Zhang 1.4k 1.2× 106 0.5× 293 1.5× 159 0.9× 170 1.3× 37 1.8k
Vinod Kumar Yadav 1.2k 1.1× 166 0.8× 328 1.7× 147 0.9× 205 1.6× 37 1.6k
Haibo Wang 1.2k 1.1× 142 0.7× 137 0.7× 110 0.7× 112 0.9× 31 1.5k
Hervé Menoni 1.3k 1.1× 136 0.7× 155 0.8× 122 0.7× 161 1.3× 24 1.4k
Lihua Ding 1.1k 1.0× 201 1.0× 388 2.0× 73 0.4× 131 1.0× 68 1.6k
Hongtao Chen 1.1k 1.0× 170 0.8× 171 0.9× 108 0.6× 127 1.0× 36 1.7k
Alexander Rapp 1.2k 1.1× 179 0.9× 271 1.4× 90 0.5× 189 1.5× 56 1.7k
Mirta Mittelstedt Leal de Sousa 967 0.9× 79 0.4× 159 0.8× 103 0.6× 151 1.2× 36 1.2k

Countries citing papers authored by Fang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yu. A scholar is included among the top collaborators of Fang Yu 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 Fang Yu. Fang Yu 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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