Shaojun Liu

48 total papers · 563 total citations
28 papers, 398 citations indexed

About

Shaojun Liu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shaojun Liu has authored 28 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shaojun Liu's work include Neuropeptides and Animal Physiology (7 papers), Nerve injury and regeneration (6 papers) and Signaling Pathways in Disease (4 papers). Shaojun Liu is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Nerve injury and regeneration (6 papers) and Signaling Pathways in Disease (4 papers). Shaojun Liu collaborates with scholars based in China, Russia and Germany. Shaojun Liu's co-authors include Gong Ju, Dan Zhu, Tingting Yu, Chao Zhang, Wei Feng, Handong Wei, Dongyu Li, Fuchu He, Yun Zhai and Shuqian Jing and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Analytical Chemistry.

In The Last Decade

Shaojun Liu

25 papers receiving 396 citations

Author Peers

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

Author						Papers	Cites
Shaojun Liu	184	133	48	47	45	28	398
Ayako Ishida	100 0.5×	131 1.0×	31 0.6×	43 0.9×	30 0.7×	24	368
Gülgün Şengül	130 0.7×	54 0.4×	37 0.8×	43 0.9×	58 1.3×	26	415
Alexis Lebon	162 0.9×	165 1.2×	27 0.6×	10 0.2×	14 0.3×	22	415
Lyudmyla Borysova	74 0.4×	151 1.1×	23 0.5×	31 0.7×	102 2.3×	20	426
Viktória Dénes	232 1.3×	239 1.8×	16 0.3×	14 0.3×	26 0.6×	29	417
Francesca Morello	111 0.6×	147 1.1×	9 0.2×	30 0.6×	28 0.6×	19	377
Robert D. Rose	133 0.7×	82 0.6×	14 0.3×	10 0.2×	76 1.7×	16	429
Han Zhou	80 0.4×	142 1.1×	14 0.3×	32 0.7×	28 0.6×	22	332
Leon Zăgrean	60 0.3×	79 0.6×	15 0.3×	22 0.5×	84 1.9×	24	356
Jennifer D. Deem	59 0.3×	115 0.9×	20 0.4×	12 0.3×	120 2.7×	13	427

Countries citing papers authored by Shaojun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shaojun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Liu

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