Sisi Shen

34 total papers · 871 total citations
27 papers, 468 citations indexed

About

Sisi Shen is a scholar working on Psychiatry and Mental health, Molecular Biology and Neurology. According to data from OpenAlex, Sisi Shen has authored 27 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Psychiatry and Mental health, 5 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Sisi Shen's work include Epilepsy research and treatment (7 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Autoimmune Neurological Disorders and Treatments (3 papers). Sisi Shen is often cited by papers focused on Epilepsy research and treatment (7 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Autoimmune Neurological Disorders and Treatments (3 papers). Sisi Shen collaborates with scholars based in China, United Kingdom and Netherlands. Sisi Shen's co-authors include Dong Zhou, Josemir W. Sander, Lu Lu, Hui Gao, Jie Mu, Jianfei Luo, Lei Chen, Yingying Zhang, Jian Guo and Mintao Lin and has published in prestigious journals such as Annals of Neurology, Brain Research and Cerebral Cortex.

In The Last Decade

Sisi Shen

21 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Sisi Shen	203	196	89	81	81	27	468
A. Bonnet	168 0.8×	80 0.4×	59 0.7×	104 1.3×	53 0.7×	25	471
Tarek Kashour	157 0.8×	155 0.8×	111 1.2×	48 0.6×	25 0.3×	19	450
Man Wang	66 0.3×	137 0.7×	95 1.1×	53 0.7×	44 0.5×	36	427
Wendy Vargas	140 0.7×	179 0.9×	74 0.8×	32 0.4×	16 0.2×	35	488
Bjarni á Steig	199 1.0×	289 1.5×	42 0.5×	55 0.7×	14 0.2×	23	469
N. Yu. Semenova	275 1.4×	173 0.9×	107 1.2×	69 0.9×	29 0.4×	45	540
Yaya Zhou	214 1.1×	235 1.2×	149 1.7×	29 0.4×	40 0.5×	16	467
Nathanaël Beeker	209 1.0×	232 1.2×	196 2.2×	19 0.2×	34 0.4×	26	524
Siew‐Wai Fong	298 1.5×	172 0.9×	71 0.8×	36 0.4×	15 0.2×	22	470
Yulia Zinchenko	191 0.9×	92 0.5×	44 0.5×	85 1.0×	131 1.6×	33	472

Countries citing papers authored by Sisi Shen

Since Specialization

Citations

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

Fields of papers citing papers by Sisi Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sisi Shen

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