Fang Yu

42 total papers · 590 total citations
22 papers, 438 citations indexed

About

Fang Yu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fang Yu has authored 22 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fang Yu's work include Cardiac electrophysiology and arrhythmias (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Animal Virus Infections Studies (3 papers). Fang Yu is often cited by papers focused on Cardiac electrophysiology and arrhythmias (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Animal Virus Infections Studies (3 papers). Fang Yu collaborates with scholars based in China, United States and Pakistan. Fang Yu's co-authors include Wanhong Liu, Biwen Peng, Yuqiang Liu, Tongqing An, Xuehui Cai, Zhi‐Jun Tian, Yongbo Yang, Di Liu, Xiaohua He and Xinyi Huang and has published in prestigious journals such as Nano Letters, PLoS ONE and Journal of Virology.

In The Last Decade

Fang Yu

18 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Fang Yu	177	129	127	92	89	22	438
Keiko Nakagaki	145 0.8×	79 0.6×	70 0.6×	73 0.8×	77 0.9×	24	472
Erlinda Fernández	119 0.7×	167 1.3×	46 0.4×	47 0.5×	48 0.5×	16	383
Joyce A. Feller	102 0.6×	146 1.1×	45 0.4×	125 1.4×	32 0.4×	19	444
Nadine Jarousse	76 0.4×	184 1.4×	109 0.9×	38 0.4×	52 0.6×	21	472
K. H. Witte	96 0.5×	173 1.3×	90 0.7×	43 0.5×	35 0.4×	15	399
Hans‐Peter Ottiger	77 0.4×	184 1.4×	95 0.7×	73 0.8×	55 0.6×	20	393
Ren Huang	84 0.5×	96 0.7×	78 0.6×	58 0.6×	14 0.2×	39	433
John N. Davis	158 0.9×	174 1.3×	38 0.3×	95 1.0×	68 0.8×	15	477
Ad de Groof	53 0.3×	189 1.5×	143 1.1×	72 0.8×	37 0.4×	11	475
Hongning Wang	60 0.3×	122 0.9×	85 0.7×	22 0.2×	22 0.2×	33	379

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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