F. R. Wells
- Neurology top 0.5%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Neurology top 1%
- Co-authors
- C. D. MarsdenDavid T. DexterYves AgidAndrew J. LeesF. Javoy‐AgidPeter JennerF. AgidChristopher Carter
- Topics
- Parkinson's Disease Mechanisms and Treatments (6 papers)Trace Elements in Health (2 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Journals
- NatureBrainAnnals of Neurology
- Partner nations
- United KingdomFranceGhana
In The Last Decade
F. R. Wells
16 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Neurology 2.2k
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 1.2k
- Physiology 787
- Neurology 785
Countries citing papers authored by F. R. Wells
This map shows the geographic impact of F. R. Wells'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 F. R. Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. R. Wells more than expected).
Fields of papers citing papers by F. R. Wells
This network shows the impact of papers produced by F. R. Wells. 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 F. R. Wells. The network helps show where F. R. Wells may publish in the future.
Co-authorship network of co-authors of F. R. Wells
This figure shows the co-authorship network connecting the top 25 collaborators of F. R. Wells. A scholar is included among the top collaborators of F. R. Wells 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 F. R. Wells. F. R. Wells is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 251 | |
| 2 | 105 | |
| 3 | ALTERATIONS IN THE LEVELS OF IRON, FERRITIN AND OTHER TRACE METALS IN PARKINSON'S DISEASE AND OTHER NEURODEGENERATIVE DISEASES AFFECTING THE BASAL GANGLIAbreakdown → | 858 |
| 4 | 207 | |
| 5 | 374 | |
| 6 | Basal Lipid Peroxidation in Substantia Nigra Is Increased in Parkinson's Diseasebreakdown → | 1142 |
| 7 | Increased Nigral Iron Content and Alterations in Other Metal Ions Occurring in Brain in Parkinson's Diseasebreakdown → | 924 |
| 8 | Cortical muscarinic receptors in demented patients with Alzheimer's disease or Parkinson's disease. | 1 |
| 9 | 3 | |
| 10 | Distribution and localization of sites of gamma aminobutyric acid metabolism in the adult rat brain. | 41 |
| 11 | 3 | |
| 12 | Cosmetics and the skin | 14 |
| 13 | 58 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 25 |
About F. R. Wells
F. R. Wells is a scholar working on Neurology, Immunology and Allergy and Biochemistry, having authored 16 papers that have together received 4.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Trace Elements in Health (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Neurology (2.2k citations), Neurology (785 citations) and Cellular and Molecular Neuroscience (1.2k citations). F. R. Wells has collaborated with scholars based in United Kingdom, France and Ghana. Frequent co-authors include C. D. Marsden, David T. Dexter, Yves Agid, Andrew J. Lees, F. Javoy‐Agid, Peter Jenner, F. Agid, Christopher Carter, Peter Jenner and P. Jenner. Their work appears in journals such as Nature, Brain 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.