Xiao Fu

72 total papers · 1.7k total citations
37 papers, 1.2k citations indexed

About

Xiao Fu is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Xiao Fu has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Organic Chemistry. Recurrent topics in Xiao Fu's work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers) and Asymmetric Synthesis and Catalysis (6 papers). Xiao Fu is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers) and Asymmetric Synthesis and Catalysis (6 papers). Xiao Fu collaborates with scholars based in China, Singapore and France. Xiao Fu's co-authors include Choon‐Hong Tan, Dasheng Leow, Shishi Lin, Santhosh Kumar Chittimalla, Zhiyong Jiang, Tao Tian, Juan Shen, Yujuan Yang, Weiping Ye and Thanh-Truc Nguyen and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Xiao Fu

34 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Xiao Fu 659 467 246 241 71 37 1.2k
Qingqing Zhang 525 0.8× 484 1.0× 121 0.5× 285 1.2× 110 1.5× 58 1.3k
Xilin Du 557 0.8× 511 1.1× 103 0.4× 241 1.0× 168 2.4× 58 1.5k
Chris Dockendorff 948 1.4× 456 1.0× 229 0.9× 71 0.3× 45 0.6× 50 1.5k
Masayuki Hasegawa 574 0.9× 428 0.9× 125 0.5× 107 0.4× 177 2.5× 45 1.3k
Nello Mainolfi 621 0.9× 426 0.9× 108 0.4× 123 0.5× 70 1.0× 33 1.1k
Xiaoliang Gao 827 1.3× 378 0.8× 509 2.1× 225 0.9× 131 1.8× 56 1.4k
Thomas Albers 252 0.4× 377 0.8× 236 1.0× 100 0.4× 166 2.3× 45 1.1k
Pradeep K. Singh 384 0.6× 665 1.4× 113 0.5× 179 0.7× 146 2.1× 30 1.3k
Juanjuan Huang 252 0.4× 686 1.5× 133 0.5× 300 1.2× 140 2.0× 41 1.2k
Paul M. Wehn 1.0k 1.5× 339 0.7× 150 0.6× 103 0.4× 83 1.2× 15 1.3k

Countries citing papers authored by Xiao Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Fu

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