Sui Fang

14 total papers · 494 total citations
10 papers, 227 citations indexed

About

Sui Fang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Sui Fang has authored 10 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Sui Fang's work include Neuroscience and Neuropharmacology Research (3 papers), Epilepsy research and treatment (2 papers) and Computational Drug Discovery Methods (2 papers). Sui Fang is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Epilepsy research and treatment (2 papers) and Computational Drug Discovery Methods (2 papers). Sui Fang collaborates with scholars based in China and Israel. Sui Fang's co-authors include Zhaobing Gao, Bingqing Xia, Xueqin Chen, Hong Hu, Huayi Wang, Qiang Ding, Xueqin Chen, Yan Wu, Jianrong Xu and Xin Xie and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Cell Research.

In The Last Decade

Sui Fang

10 papers receiving 227 citations

Author Peers

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

Author						Papers	Cites
Sui Fang	151	53	34	27	24	10	227
Shuhui Guo	147 1.0×	46 0.9×	54 1.6×	22 0.8×	8 0.3×	10	296
Lucia Nikolaia López-Bojórquez	156 1.0×	53 1.0×	18 0.5×	28 1.0×	10 0.4×	8	313
Madhu Prasad	228 1.5×	23 0.4×	25 0.7×	21 0.8×	16 0.7×	12	319
Eiji Otsubo	209 1.4×	25 0.5×	19 0.6×	16 0.6×	17 0.7×	10	328
Adélie Dumont	104 0.7×	58 1.1×	39 1.1×	28 1.0×	21 0.9×	7	251
Da-Jung Jung	106 0.7×	125 2.4×	12 0.4×	23 0.9×	35 1.5×	13	296
Yuxiang Gu	116 0.8×	37 0.7×	25 0.7×	12 0.4×	15 0.6×	15	258
Weixia Sun	145 1.0×	17 0.3×	36 1.1×	23 0.9×	38 1.6×	8	263
Yu-Fen Huang	137 0.9×	42 0.8×	20 0.6×	9 0.3×	19 0.8×	15	289
Marietta M. Budai	124 0.8×	102 1.9×	66 1.9×	25 0.9×	12 0.5×	9	286

Countries citing papers authored by Sui Fang

Since Specialization

Citations

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

Fields of papers citing papers by Sui Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sui Fang

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