Xiaojun Shi

52 total papers · 965 total citations
19 papers, 714 citations indexed

About

Xiaojun Shi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Xiaojun Shi has authored 19 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Xiaojun Shi's work include Axon Guidance and Neuronal Signaling (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Receptor Mechanisms and Signaling (3 papers). Xiaojun Shi is often cited by papers focused on Axon Guidance and Neuronal Signaling (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Receptor Mechanisms and Signaling (3 papers). Xiaojun Shi collaborates with scholars based in United States and China. Xiaojun Shi's co-authors include Adam W. Smith, Xiong Gong, Chao Yi, Megan J. Kaliszewski, Yifan Ge, Sivakumar Boopathy, Luke H. Chao, Chang Liu, Kai Wang and Alan J. Heeger and has published in prestigious journals such as Science, Accounts of Chemical Research and Advanced Functional Materials.

In The Last Decade

Xiaojun Shi

18 papers receiving 707 citations

Author Peers

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

Author						Papers	Cites
Xiaojun Shi	357	233	172	127	80	19	714
Steven Alvarez	453 1.3×	200 0.9×	84 0.5×	24 0.2×	128 1.6×	17	761
Eric G.B. Evans	362 1.0×	215 0.9×	167 1.0×	30 0.2×	23 0.3×	18	749
Takanori Hayashi	349 1.0×	64 0.3×	60 0.3×	68 0.5×	56 0.7×	49	755
Kazuyuki Yamamoto	335 0.9×	49 0.2×	99 0.6×	94 0.7×	52 0.7×	46	851
Kaisa Kisko	347 1.0×	101 0.4×	153 0.9×	42 0.3×	53 0.7×	20	708
Takatoshi Kaya	343 1.0×	176 0.8×	69 0.4×	75 0.6×	17 0.2×	24	800
Ethan S. Karp	436 1.2×	78 0.3×	131 0.8×	182 1.4×	101 1.3×	13	818
Hisao Shimizu	321 0.9×	130 0.6×	290 1.7×	55 0.4×	27 0.3×	34	863
Ignacy Gryczynski	324 0.9×	92 0.4×	144 0.8×	59 0.5×	36 0.5×	24	639
Lee A. Solomon	490 1.4×	62 0.3×	198 1.2×	63 0.5×	80 1.0×	22	744

Countries citing papers authored by Xiaojun Shi

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojun Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Shi

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