Shengjun Chang

1.1k citations
8 papers · 858 · h-index 6

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Mitochondrial Function and Pathology 2
    • Peroxisome Proliferator-Activated Receptors 1
    • S100 Proteins and Annexins 1
    • Alzheimer's disease research and treatments 4

Shengjun Chang

7 papers receiving 847 citations

Peers

Shengjun Chang
Comparison fields: 5 of 70
  • Physiology 541
  • Neurology 130
  • Biological Psychiatry 26
  • Cellular and Molecular Neuroscience 184
  • Developmental Neuroscience 30
Replace Jianting Miao with:
Jianting Miao China
J. K. Blusztajn United States
Afshin Safavi United States
Valérie Suain Belgium
Teemu Natunen Finland
Suzan Aschmies United States
Paul Acton United States
Jordana L. Meyerson United States
Metin Bagli Germany
Deanna Koger United States
Shengjun Chang relative to Jianting Miao China Jianting Miao's profile →
Citations per field
00.5×1.5×
Jianting Miao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shengjun Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shengjun Chang Line = papers co-authored together Shengjun Chang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2004326
2 2005254
3 2004110
4 201065
5 200855
6 200847
7 20041
8 20210

About Shengjun Chang

Shengjun Chang is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Surgery and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 858 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Nuclear Receptors and Signaling (2 papers), Mitochondrial Function and Pathology (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Ideological and Political Education (1 paper), S100 Proteins and Annexins (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Physiology (541 citations), Neurology (130 citations), Biological Psychiatry (26 citations), Cellular and Molecular Neuroscience (184 citations) and Developmental Neuroscience (30 citations). Shengjun Chang has collaborated with scholars based in United States, China and France. Frequent co-authors include Yadong Huang, Robert W. Mahley, Tony Wyss‐Coray, Maureen E. Balestra, Ran Tian, R. Dennis Miranda, Walter J. Brecht, Qin Xu, Ina Tesseur and Faith M. Harris. Their work appears in journals such as Journal of Biological Chemistry, American Journal Of Pathology, Journal of Neuroscience, Proceedings of the National Academy of Sciences and Neurobiology of Aging.

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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