Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The glucose oxidase-DAB-nickel method in peroxidase histochemistry of the nervous system
19881.2k citationsSiyun Shu, Lingzhi Fan et al.Neuroscience Lettersprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Siyun Shu'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 Siyun Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyun Shu more than expected).
This network shows the impact of papers produced by Siyun Shu. 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 Siyun Shu. The network helps show where Siyun Shu may publish in the future.
Co-authorship network of co-authors of Siyun Shu
This figure shows the co-authorship network connecting the top 25 collaborators of Siyun Shu.
A scholar is included among the top collaborators of Siyun Shu 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 Siyun Shu. Siyun Shu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Xuhong, et al.. (2007). [NR2B-pERK1/2-pElk-1 signaling contributes to the avoidance learning and memory of rats].. PubMed. 23(1). 121–5.2 indexed citations
9.
Shu, Siyun, et al.. (2005). Expression of c-fos and c-jun proteins in the marginal division of the rat striatum during learning and memory training.. PubMed. 118(5). 398–403.1 indexed citations
10.
Shu, Siyun. (2004). A differential study on spatial learning function of the marginal division of the neostriatum and the hippocampus in the rat.1 indexed citations
Shu, Siyun, et al.. (2002). [Distribution of substance P and its receptor in the marginal division of rat striatum and its association with the function of learning and memory].. PubMed. 22(2). 102–6.1 indexed citations
13.
Wang, Hong, et al.. (2002). [Expression of immediate-early genes c-fos and c-jun in the marginal division of striatum during learning and memory].. PubMed. 22(1). 9–12.1 indexed citations
14.
Shu, Siyun, et al.. (2002). [Functional connection between the marginal division and hippocampus in rats].. PubMed. 22(8). 684–6.1 indexed citations
15.
Wu, Yongming, Siyun Shu, Xinmin Bao, et al.. (2002). [Role of the marginal division of human neostriatum in working memory capacity for numbers received through hearing: a functional magnetic resonance imaging study].. PubMed. 22(12). 1096–8.2 indexed citations
Shu, Siyun, et al.. (1997). Distribution of neurotensin and somatostatin immunoreactivity in the marginal division of the rat striatum. 6(1). 1–5.4 indexed citations
Shu, Siyun, et al.. (1988). The glucose oxidase-DAB-nickel method in peroxidase histochemistry of the nervous system. Neuroscience Letters. 85(2). 169–171.1154 indexed citations breakdown →
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.