Megan Williams
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Rheumatology top 5%
- Genetics
- Co-authors
- Richard J. TraystmanKevin PangDavid S. OltonPatricia D. HurnLouise D. McCulloughNabil J. AlkayedHoward E. EgethNicola Dalbeth
- Topics
- Rheumatoid Arthritis Research and Therapies (5 papers)Musculoskeletal synovial abnormalities and treatments (4 papers)Spondyloarthritis Studies and Treatments (3 papers)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Megan Williams
27 papers receiving 856 citations
Peers
Comparison fields: 5 of 108
- Cellular and Molecular Neuroscience 201
- Cognitive Neuroscience 199
- Molecular Biology 184
- Rheumatology 179
- Genetics 116
Countries citing papers authored by Megan Williams
This map shows the geographic impact of Megan Williams'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 Megan Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Williams more than expected).
Fields of papers citing papers by Megan Williams
This network shows the impact of papers produced by Megan Williams. 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 Megan Williams. The network helps show where Megan Williams may publish in the future.
Co-authorship network of co-authors of Megan Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Megan Williams. A scholar is included among the top collaborators of Megan Williams 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 Megan Williams. Megan Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 39 | |
| 3 | 7 | |
| 4 | 46 | |
| 5 | 10 | |
| 6 | 11 | |
| 7 | 47 | |
| 8 | 78 | |
| 9 | 35 | |
| 10 | 22 | |
| 11 | 51 | |
| 12 | Investigation of the behavior of a ventilated supercavity | 5 |
| 13 | The spondyloarthritis research consortium of Canada (SPARCC) magnetic resonance imaging (MRI) index: A new scoring system for the evaluation of sacroiliac joint inflammation in spondyloarthritis | 4 |
| 14 | 36 | |
| 15 | 100 | |
| 16 | 27 | |
| 17 | 55 | |
| 18 | 68 | |
| 19 | Comparison of selected lift and sideslip characteristics of the Ayres Thrush S2R-800, winglets off and winglets on, to full-scale wind-tunnel data | 0 |
| 20 | 2 |
About Megan Williams
Megan Williams is a scholar working on Rheumatology, Neurology and Speech and Hearing, having authored 28 papers that have together received 877 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (5 papers), Musculoskeletal synovial abnormalities and treatments (4 papers) and Spondyloarthritis Studies and Treatments (3 papers). The work is most often cited by research in Rheumatology (179 citations), Cellular and Molecular Neuroscience (201 citations) and Cognitive Neuroscience (199 citations). Megan Williams has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Richard J. Traystman, Kevin Pang, David S. Olton, Patricia D. Hurn, Louise D. McCullough, Nabil J. Alkayed, Howard E. Egeth, Nicola Dalbeth, Fiona McQueen and David J. Bucci. Their work appears in journals such as Stroke, Brain Research and Journal of Applied Physiology.
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.