Richard J. Mead
- Neurology top 1%
- Molecular Biology top 10%
- Genetics top 1%
- Neurology top 2%
- Physiology top 10%
- Co-authors
- Pamela J. ShawSiân C. BarberB. Paul MorganTim G. AndrewsAndrew J. GriersonNing ShanFiona H. MarshallLaura Ferraiuolo
- Topics
- Amyotrophic Lateral Sclerosis Research (22 papers)Neurogenetic and Muscular Disorders Research (11 papers)Cholinesterase and Neurodegenerative Diseases (7 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Richard J. Mead
44 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Neurology 989
- Molecular Biology 903
- Genetics 655
- Neurology 313
- Physiology 262
Countries citing papers authored by Richard J. Mead
This map shows the geographic impact of Richard J. Mead'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 Richard J. Mead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. Mead more than expected).
Fields of papers citing papers by Richard J. Mead
This network shows the impact of papers produced by Richard J. Mead. 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 Richard J. Mead. The network helps show where Richard J. Mead may publish in the future.
Co-authorship network of co-authors of Richard J. Mead
This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Mead. A scholar is included among the top collaborators of Richard J. Mead 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 Richard J. Mead. Richard J. Mead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translationbreakdown → | 248 |
| 7 | 6 | |
| 8 | Applications of machine learning to diagnosis and treatment of neurodegenerative diseasesbreakdown → | 350 |
| 9 | 9 | |
| 10 | 13 | |
| 11 | 55 | |
| 12 | 80 | |
| 13 | 239 | |
| 14 | Managing cultural differences | 116 |
| 15 | International management : culture and beyond | 8 |
| 16 | 168 | |
| 17 | 5 | |
| 18 | Deletion of the gene encoding C3 decreases disease severity in a murine model of rheumatoid arthritis | 1 |
| 19 | Cases and projects in international management | 1 |
| 20 | Statistical methods for dividing sites into recommendation domains on the basis of experimental results | 1 |
About Richard J. Mead
Richard J. Mead is a scholar working on Neurology, Genetics and Biophysics, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (22 papers), Neurogenetic and Muscular Disorders Research (11 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). The work is most often cited by research in Neurology (989 citations), Genetics (655 citations) and Neurology (313 citations). Richard J. Mead has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Pamela J. Shaw, Siân C. Barber, B. Paul Morgan, Tim G. Andrews, Andrew J. Grierson, Ning Shan, Fiona H. Marshall, Laura Ferraiuolo, James Neal and Hans Lassmann. Their work appears in journals such as Nature Communications, The Journal of Immunology 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.