Jim Shaw
Impact in
- Occupational Therapy top 5%
- Occupational Health and Performance
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
Papers in
-
- Genomics and Phylogenetic Studies 11
- Gut microbiota and health 2
- Machine Learning in Bioinformatics 1
- Ecology 6
- Bacteriophages and microbial interactions 5
- Microbial Community Ecology and Physiology 2
- Co-authors
- Yun William Yu (9 shared papers)Veronica Jamnik (3 shared papers)Norman Gledhill (3 shared papers)Scott Thomas (1 shared paper)Niranjan Nagarajan (2 shared papers)M. S. Binoj Kumar (1 shared paper)Kalisvar Marimuthu (1 shared paper)Chenhao Li (1 shared paper)
- Journals
- Bioinformatics (4 papers)Genome Research (2 papers)Nature Biotechnology (2 papers)Nature Methods (1 paper)Medicine & Science in Sports & Exercise (1 paper)
- Partner nations
- CanadaUnited StatesSingapore
In The Last Decade
Jim Shaw
14 papers receiving 426 citations
Peers
Comparison fields: 5 of 81
- Occupational Therapy 56
- Ecology 159
- Molecular Medicine 27
- Orthopedics and Sports Medicine 40
- Molecular Biology 262
Countries citing papers authored by Jim Shaw
This map shows the geographic impact of Jim 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 Jim Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Shaw more than expected).
Fields of papers citing papers by Jim Shaw
This network shows the impact of papers produced by Jim 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 Jim Shaw. The network helps show where Jim Shaw may publish in the future.
Co-authors
The 22 scholars most cited alongside Jim Shaw, 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 | 2019 | 214 | |
| 2 | 2023 | 65 | |
| 3 | 2010 | 54 | |
| 4 | 2021 | 25 | |
| 5 | 2024 | 19 | |
| 6 | 2010 | 19 | |
| 7 | 2018 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2000 | 2 | |
| 15 | 2025 | 0 |
About Jim Shaw
Jim Shaw is a scholar working on Molecular Biology, Ecology, Occupational Therapy, Artificial Intelligence and Genetics, having authored 15 papers that have together received 433 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Bacteriophages and microbial interactions (5 papers), Occupational Health and Performance (3 papers), Algorithms and Data Compression (3 papers), Microbial Community Ecology and Physiology (2 papers), Gut microbiota and health (2 papers), Sports Performance and Training (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Occupational Therapy (56 citations), Ecology (159 citations), Molecular Medicine (27 citations), Orthopedics and Sports Medicine (40 citations) and Molecular Biology (262 citations). Jim Shaw has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Yun William Yu, Veronica Jamnik, Norman Gledhill, Scott Thomas, Niranjan Nagarajan, M. S. Binoj Kumar, Kalisvar Marimuthu, Chenhao Li, Timothy Barkham and Kern Rei Chng. Their work appears in journals such as Bioinformatics, Genome Research, Nature Biotechnology, Nature Methods and Medicine & Science in Sports & Exercise.
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.