J. W. Shek
- Plant Science top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Molecular Biology
- Nutrition and Dietetics top 10%
- Co-authors
- Henryk M. Wı́sniewskiJohn A. SturmanH. M. WisniewskiG. Y. WenAusma RabeM DambskaPiotr B. KozlowskiY. H. Loo
- Topics
- Aluminum toxicity and tolerance in plants and animals (5 papers)Alzheimer's disease research and treatments (4 papers)Medicinal Plants and Neuroprotection (2 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- United States
In The Last Decade
J. W. Shek
17 papers receiving 574 citations
Peers
Comparison fields: 5 of 88
- Plant Science 224
- Cellular and Molecular Neuroscience 169
- Physiology 160
- Molecular Biology 89
- Nutrition and Dietetics 88
Countries citing papers authored by J. W. Shek
This map shows the geographic impact of J. W. Shek'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 J. W. Shek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. W. Shek more than expected).
Fields of papers citing papers by J. W. Shek
This network shows the impact of papers produced by J. W. Shek. 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 J. W. Shek. The network helps show where J. W. Shek may publish in the future.
Co-authorship network of co-authors of J. W. Shek
This figure shows the co-authorship network connecting the top 25 collaborators of J. W. Shek. A scholar is included among the top collaborators of J. W. Shek 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 J. W. Shek. J. W. Shek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | A comparative study of the tapetum, retina and skull of the ferret, dog and cat. | 29 |
| 5 | Atlas of the Rabbit Brain and Spinal Cord | 169 |
| 6 | 1 | |
| 7 | 35 | |
| 8 | 14 | |
| 9 | 49 | |
| 10 | 61 | |
| 11 | 46 | |
| 12 | 16 | |
| 13 | 116 | |
| 14 | 31 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 5 |
About J. W. Shek
J. W. Shek is a scholar working on Developmental Neuroscience, Clinical Biochemistry and Complementary and alternative medicine, having authored 17 papers that have together received 594 indexed citations. Recurring topics across this work include Aluminum toxicity and tolerance in plants and animals (5 papers), Alzheimer's disease research and treatments (4 papers) and Medicinal Plants and Neuroprotection (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (169 citations), Developmental Neuroscience (37 citations) and Endocrine and Autonomic Systems (53 citations). J. W. Shek has collaborated with scholars based in United States. Frequent co-authors include Henryk M. Wı́sniewski, John A. Sturman, H. M. Wisniewski, G. Y. Wen, Ausma Rabe, M Dambska, Piotr B. Kozlowski, Y. H. Loo, H. M. Wiśniewski and R. C. Moretz. Their work appears in journals such as Annals of Neurology, Annals of the New York Academy of Sciences and Experimental Neurology.
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.