Jin G. Sheng
- Physiology top 0.5%
- Neurology top 0.1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Biological Psychiatry top 0.5%
- Co-authors
- W. Sue T. GriffinRobert E. MrakGareth W. RobertsDavid I. GrahamLinda J. Van EldikG.W. RobertsSteve GentlemanJ.E. McKenzie
- Topics
- Alzheimer's disease research and treatments (29 papers)Neuroinflammation and Neurodegeneration Mechanisms (17 papers)S100 Proteins and Annexins (16 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jin G. Sheng
46 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Physiology 2.8k
- Neurology 2.4k
- Molecular Biology 1.9k
- Cellular and Molecular Neuroscience 898
- Biological Psychiatry 714
Countries citing papers authored by Jin G. Sheng
This map shows the geographic impact of Jin G. Sheng'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 Jin G. Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin G. Sheng more than expected).
Fields of papers citing papers by Jin G. Sheng
This network shows the impact of papers produced by Jin G. Sheng. 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 Jin G. Sheng. The network helps show where Jin G. Sheng may publish in the future.
Co-authorship network of co-authors of Jin G. Sheng
This figure shows the co-authorship network connecting the top 25 collaborators of Jin G. Sheng. A scholar is included among the top collaborators of Jin G. Sheng 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 Jin G. Sheng. Jin G. Sheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | An Investigation on Main Traits of Transgenic Silkworm Overexpressing Bmlipase-1 | 3 |
| 3 | Reversion of MDR of HL60/ADR and MCF-7/ADR with curcumin in vitro. | 1 |
| 4 | 23 | |
| 5 | Correlation Migration of Scattered Teleseismic Body Waves With Application to the 1993 Cascadia Experiment | 2 |
| 6 | 330 | |
| 7 | 67 | |
| 8 | 120 | |
| 9 | 40 | |
| 10 | 177 | |
| 11 | 44 | |
| 12 | 158 | |
| 13 | 131 | |
| 14 | 38 | |
| 15 | 149 | |
| 16 | 440 | |
| 17 | 138 | |
| 18 | 159 | |
| 19 | 21 | |
| 20 | 10 |
About Jin G. Sheng
Jin G. Sheng is a scholar working on Neurology, Biological Psychiatry and Physiology, having authored 46 papers that have together received 5.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (29 papers), Neuroinflammation and Neurodegeneration Mechanisms (17 papers) and S100 Proteins and Annexins (16 papers). The work is most often cited by research in Neurology (2.4k citations), Biological Psychiatry (714 citations) and Physiology (2.8k citations). Jin G. Sheng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include W. Sue T. Griffin, Robert E. Mrak, Robert E. Mrak, Gareth W. Roberts, David I. Graham, Linda J. Van Eldik, G.W. Roberts, Steve Gentleman, J.E. McKenzie and M.C. Royston. Their work appears in journals such as Journal of Neuroscience, Scientific Reports and Annals of the New York Academy of Sciences.
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.