P. D. Molyneux
- Pathology and Forensic Medicine top 1%
- Neurology top 5%
- Rheumatology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Co-authors
- Gareth J. BarkerD. H. MillerMassimo FilippiFrederik BarkhofKlaus WagnerTarek YousryCarlo PozzilliDeirdre MacManus
- Topics
- Multiple Sclerosis Research Studies (12 papers)Ultrasound Imaging and Elastography (4 papers)Ultrasound and Hyperthermia Applications (4 papers)
- Journals
- BrainNeurologyAnnals of Neurology
- Partner nations
- United KingdomNetherlandsItaly
In The Last Decade
P. D. Molyneux
16 papers receiving 949 citations
Peers
Comparison fields: 5 of 65
- Pathology and Forensic Medicine 789
- Neurology 362
- Rheumatology 300
- Radiology, Nuclear Medicine and Imaging 174
- Oncology 142
Countries citing papers authored by P. D. Molyneux
This map shows the geographic impact of P. D. Molyneux'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 P. D. Molyneux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. D. Molyneux more than expected).
Fields of papers citing papers by P. D. Molyneux
This network shows the impact of papers produced by P. D. Molyneux. 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 P. D. Molyneux. The network helps show where P. D. Molyneux may publish in the future.
Co-authorship network of co-authors of P. D. Molyneux
This figure shows the co-authorship network connecting the top 25 collaborators of P. D. Molyneux. A scholar is included among the top collaborators of P. D. Molyneux 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 P. D. Molyneux. P. D. Molyneux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 72 | |
| 3 | 46 | |
| 4 | 48 | |
| 5 | 13 | |
| 6 | Lesion heterogeneity in MS: a study of the relationships between appearances on T1-weighted images, T1 relaxation times and metabilite concentrations | 2 |
| 7 | 14 | |
| 8 | 186 | |
| 9 | 123 | |
| 10 | 24 | |
| 11 | 174 | |
| 12 | The effect of section thickness on magnetic resonance lesion detection and quantification in multiple sclerosis | 5 |
| 13 | 47 | |
| 14 | 142 | |
| 15 | 5 | |
| 16 | 24 |
About P. D. Molyneux
P. D. Molyneux is a scholar working on Pathology and Forensic Medicine, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 980 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (12 papers), Ultrasound Imaging and Elastography (4 papers) and Ultrasound and Hyperthermia Applications (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (789 citations), Neurology (362 citations) and Rheumatology (300 citations). P. D. Molyneux has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include Gareth J. Barker, D. H. Miller, Massimo Filippi, Frederik Barkhof, Klaus Wagner, Tarek Yousry, Carlo Pozzilli, Deirdre MacManus, Alan J. Thompson and I. F. Moseley. Their work appears in journals such as Brain, Neurology and Annals of 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.