Xiaonan Fu

46 total papers · 1.1k total citations
19 papers, 658 citations indexed

About

Xiaonan Fu is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaonan Fu has authored 19 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaonan Fu's work include MicroRNA in disease regulation (5 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Xiaonan Fu is often cited by papers focused on MicroRNA in disease regulation (5 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Xiaonan Fu collaborates with scholars based in United States, China and Singapore. Xiaonan Fu's co-authors include Jinsong Zhu, Yijie Han, Yulan Zhao, Pengcheng Liu, Xiaoli Zhu, Feng Mao, Xuelian He, Xin Lü, Wei Zhang and George Dimopoulos and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaonan Fu

18 papers receiving 648 citations

Author Peers

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

Author						Papers	Cites
Xiaonan Fu	390	227	134	93	65	19	658
Jikhyon Han	477 1.2×	198 0.9×	140 1.0×	63 0.7×	37 0.6×	27	729
Kazutaka Akagi	216 0.6×	116 0.5×	117 0.9×	118 1.3×	41 0.6×	23	584
Monika Deshpande	366 0.9×	187 0.8×	55 0.4×	84 0.9×	52 0.8×	23	742
Hironori Matsuura	250 0.6×	72 0.3×	97 0.7×	76 0.8×	46 0.7×	24	692
Wan Hee Yoon	420 1.1×	107 0.5×	132 1.0×	100 1.1×	24 0.4×	18	732
Fu Yang	319 0.8×	73 0.3×	58 0.4×	89 1.0×	27 0.4×	28	607
Keun Jae Ahn	222 0.6×	105 0.5×	49 0.4×	81 0.9×	33 0.5×	29	582
Karin Álvarez	322 0.8×	91 0.4×	176 1.3×	68 0.7×	39 0.6×	30	678
Jason Baum	347 0.9×	52 0.2×	256 1.9×	44 0.5×	109 1.7×	30	651
Liying Fan	422 1.1×	68 0.3×	89 0.7×	40 0.4×	35 0.5×	30	650

Countries citing papers authored by Xiaonan Fu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaonan Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaonan Fu

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