Shengjun Chang
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
- Co-authors
- Yadong Huang (5 shared papers)Robert W. Mahley (4 shared papers)Tony Wyss‐Coray (4 shared papers)Ran Tian (1 shared paper)R. Dennis Miranda (1 shared paper)Maureen E. Balestra (1 shared paper)Qin Xu (2 shared papers)Walter J. Brecht (3 shared papers)
- Journals
- American Journal Of Pathology (1 paper)Neurobiology of Aging (1 paper)Proceedings of the National Academy of Sciences (1 paper)Annals of Neurology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Shengjun Chang
7 papers receiving 870 citations
Peers
Comparison fields: 5 of 71
- Physiology 554
- Neurology 135
- Biological Psychiatry 26
- Cellular and Molecular Neuroscience 196
- Developmental Neuroscience 34
Countries citing papers authored by Shengjun Chang
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 334 | |
| 2 | 2005 | 262 | |
| 3 | 2004 | 115 | |
| 4 | 2010 | 67 | |
| 5 | 2008 | 57 | |
| 6 | 2008 | 51 | |
| 7 | 2004 | 1 | |
| 8 | 2021 | 0 |
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 887 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 (554 citations), Neurology (135 citations), Biological Psychiatry (26 citations), Cellular and Molecular Neuroscience (196 citations) and Developmental Neuroscience (34 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, Ran Tian, R. Dennis Miranda, Maureen E. Balestra, Qin Xu, Walter J. Brecht, Faith M. Harris and Ina Tesseur. Their work appears in journals such as American Journal Of Pathology, Neurobiology of Aging, Proceedings of the National Academy of Sciences, Annals of Neurology and Journal of Neuroscience.
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.