Stephen R. Shaw
- Cellular and Molecular Neuroscience top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Molecular Biology
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Malcolm BurrowsGregory P. SuttonA. C. VailasDonald B. ThomasonRonald F. ZernickeKenneth M. BaldwinGeorge J. HollandSteven F. Loy
- Topics
- Sports Performance and Training (6 papers)Neurobiology and Insect Physiology Research (5 papers)Insect and Arachnid Ecology and Behavior (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceOrthopedics and Sports MedicineEcology, Evolution, Behavior and Systematics
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Stephen R. Shaw
13 papers receiving 525 citations
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 292
- Ecology, Evolution, Behavior and Systematics 119
- Genetics 116
- Molecular Biology 110
- Orthopedics and Sports Medicine 70
Countries citing papers authored by Stephen R. Shaw
This map shows the geographic impact of Stephen R. Shaw'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 Stephen R. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen R. Shaw more than expected).
Fields of papers citing papers by Stephen R. Shaw
This network shows the impact of papers produced by Stephen R. Shaw. 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 Stephen R. Shaw. The network helps show where Stephen R. Shaw may publish in the future.
Co-authorship network of co-authors of Stephen R. Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen R. Shaw. A scholar is included among the top collaborators of Stephen R. Shaw 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 Stephen R. Shaw. Stephen R. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 17 | |
| 3 | 133 | |
| 4 | 36 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 69 | |
| 10 | 91 | |
| 11 | 87 | |
| 12 | 34 | |
| 13 | 57 |
About Stephen R. Shaw
Stephen R. Shaw is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine and Developmental Biology, having authored 13 papers that have together received 562 indexed citations. Recurring topics across this work include Sports Performance and Training (6 papers), Neurobiology and Insect Physiology Research (5 papers) and Insect and Arachnid Ecology and Behavior (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (292 citations), Orthopedics and Sports Medicine (70 citations) and Ecology, Evolution, Behavior and Systematics (119 citations). Stephen R. Shaw has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Malcolm Burrows, Gregory P. Sutton, A. C. Vailas, Donald B. Thomason, Ronald F. Zernicke, Kenneth M. Baldwin, George J. Holland, Steven F. Loy, William J. Vincent and J Borycz. Their work appears in journals such as Nature, Science and PLoS ONE.
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.