Shengjun Chang

1.0k total citations
8 papers, 851 citations indexed

About

Shengjun Chang is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shengjun Chang has authored 8 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shengjun Chang's work include Alzheimer's disease research and treatments (4 papers), Neonatal and fetal brain pathology (2 papers) and Mitochondrial Function and Pathology (2 papers). Shengjun Chang is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Neonatal and fetal brain pathology (2 papers) and Mitochondrial Function and Pathology (2 papers). Shengjun Chang collaborates with scholars based in United States, China and France. Shengjun Chang's co-authors include Yadong Huang, Robert W. Mahley, Tony Wyss‐Coray, R. Dennis Miranda, Ran Tian, Maureen E. Balestra, Ina Tesseur, Qin Xu, Walter J. Brecht and Faith M. Harris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Shengjun Chang

7 papers receiving 840 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shengjun Chang United States 6 590 376 205 147 133 8 851
Afshin Safavi United States 6 573 1.0× 362 1.0× 165 0.8× 137 0.9× 110 0.8× 9 837
Deanna Koger United States 6 681 1.2× 269 0.7× 254 1.2× 322 2.2× 116 0.9× 9 902
Teemu Natunen Finland 18 481 0.8× 453 1.2× 168 0.8× 215 1.5× 112 0.8× 44 1.1k
Evelyn Nwabuisi‐Heath United States 6 489 0.8× 196 0.5× 167 0.8× 177 1.2× 92 0.7× 6 630
Hassibullah Akeefe United States 7 460 0.8× 296 0.8× 179 0.9× 93 0.6× 88 0.7× 7 846
Bracie Watson United States 7 473 0.8× 364 1.0× 96 0.5× 93 0.6× 96 0.7× 9 831
Kevin P. Koster United States 11 395 0.7× 236 0.6× 135 0.7× 182 1.2× 59 0.4× 17 697
Valérie Suain Belgium 17 608 1.0× 324 0.9× 209 1.0× 210 1.4× 140 1.1× 22 882
Jens Brodbeck United States 12 602 1.0× 732 1.9× 538 2.6× 137 0.9× 178 1.3× 18 1.3k
Petra Mäkinen Finland 18 422 0.7× 271 0.7× 146 0.7× 192 1.3× 71 0.5× 32 807

Countries citing papers authored by Shengjun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shengjun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengjun Chang. A scholar is included among the top collaborators of Shengjun Chang 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 Shengjun Chang. Shengjun Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
2.
Buttini, Manuel, Eliezer Masliah, Gui-Qiu Yu, et al.. (2010). Cellular Source of Apolipoprotein E4 Determines Neuronal Susceptibility to Excitotoxic Injury in Transgenic Mice. American Journal Of Pathology. 177(2). 563–569. 64 indexed citations
3.
Chang, Shengjun, Xiangning Jiang, Chong Zhao, Christina Lee, & Donna M. Ferriero. (2008). Exogenous low dose hydrogen peroxide increases hypoxia-inducible factor-1alpha protein expression and induces preconditioning protection against ischemia in primary cortical neurons. Neuroscience Letters. 441(1). 134–138. 53 indexed citations
4.
Jiang, Xiangning, Dezhi Mu, Valérie Biran, et al.. (2008). Activated Src kinases interact with the N‐methyl‐D‐aspartate receptor after neonatal brain ischemia. Annals of Neurology. 63(5). 632–641. 47 indexed citations
5.
Chang, Shengjun, Ran Tian, R. Dennis Miranda, et al.. (2005). Lipid- and receptor-binding regions of apolipoprotein E4 fragments act in concert to cause mitochondrial dysfunction and neurotoxicity. Proceedings of the National Academy of Sciences. 102(51). 18694–18699. 254 indexed citations
6.
Brecht, Walter J., Faith M. Harris, Shengjun Chang, et al.. (2004). Neuron-Specific Apolipoprotein E4 Proteolysis Is Associated with Increased Tau Phosphorylation in Brains of Transgenic Mice. Journal of Neuroscience. 24(10). 2527–2534. 323 indexed citations
7.
Brecht, Walter J., Faith M. Harris, Shengjun Chang, et al.. (2004). P2-292 Neuron-specific apoE4 proteolysis is associated with increased tau phosphorylation in the brains of transgenic mice. Neurobiology of Aging. 25. S316–S316. 1 indexed citations
8.
Harris, Faith M., Ina Tesseur, Walter J. Brecht, et al.. (2004). Astroglial Regulation of Apolipoprotein E Expression in Neuronal Cells. Journal of Biological Chemistry. 279(5). 3862–3868. 109 indexed citations

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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