Xiaoxue Shi

64 total papers · 901 total citations
39 papers, 305 citations indexed

About

Xiaoxue Shi is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaoxue Shi has authored 39 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 9 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaoxue Shi's work include Parkinson's Disease Mechanisms and Treatments (15 papers), RNA regulation and disease (4 papers) and Neurological disorders and treatments (4 papers). Xiaoxue Shi is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (15 papers), RNA regulation and disease (4 papers) and Neurological disorders and treatments (4 papers). Xiaoxue Shi collaborates with scholars based in China and South Korea. Xiaoxue Shi's co-authors include Lijie Fu, Jianjun Ma, Jinhua Zheng, Mingjian Li, Shiyu Hu, Zhidong Wang, Qi Gu, Dong‐Sheng Li, Hongqi Yang and Siyuan Chen and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Xiaoxue Shi

33 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoxue Shi 115 59 38 32 29 39 305
Huayan Li 69 0.6× 38 0.6× 13 0.3× 43 1.3× 33 1.1× 20 312
Gangqiang Hou 80 0.7× 24 0.4× 35 0.9× 33 1.0× 13 0.4× 41 342
Fausto Rojas-Durán 84 0.7× 60 1.0× 17 0.4× 29 0.9× 24 0.8× 40 297
Yating Ma 76 0.7× 57 1.0× 16 0.4× 35 1.1× 30 1.0× 25 307
Mengyao Zhang 48 0.4× 36 0.6× 10 0.3× 26 0.8× 40 1.4× 26 317
Hui Lian 74 0.6× 54 0.9× 35 0.9× 26 0.8× 20 0.7× 22 340
Л.Р. Ахмадеева 52 0.5× 30 0.5× 29 0.8× 16 0.5× 60 2.1× 54 265
Wenjuan Zhou 117 1.0× 10 0.2× 32 0.8× 42 1.3× 42 1.4× 19 350
Jin Wang 94 0.8× 35 0.6× 18 0.5× 42 1.3× 39 1.3× 30 288
Seung Yeon Ko 129 1.1× 25 0.4× 13 0.3× 74 2.3× 42 1.4× 18 318

Countries citing papers authored by Xiaoxue Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxue Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxue Shi

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