Martin Davies
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Surgery
- Cognitive Neuroscience
- Pulmonary and Respiratory Medicine
- Co-authors
- Susan M. J. DunnWolfgang EpsteinAlan N. BatesonE SabbadiniIan L. MartinJ. Glen NewellPeter BealeMichelle I. Arnot
- Topics
- Neuroscience and Neuropharmacology Research (12 papers)Receptor Mechanisms and Signaling (7 papers)Nicotinic Acetylcholine Receptors Study (7 papers)
- Journals
- Nucleic Acids ResearchJournal of Biological ChemistryJNCI Journal of the National Cancer Institute
- Partner nations
- United KingdomSouth AfricaCanada
In The Last Decade
Martin Davies
63 papers receiving 976 citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 343
- Cellular and Molecular Neuroscience 319
- Surgery 227
- Cognitive Neuroscience 97
- Pulmonary and Respiratory Medicine 77
Countries citing papers authored by Martin Davies
This map shows the geographic impact of Martin Davies'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 Martin Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Davies more than expected).
Fields of papers citing papers by Martin Davies
This network shows the impact of papers produced by Martin Davies. 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 Martin Davies. The network helps show where Martin Davies may publish in the future.
Co-authorship network of co-authors of Martin Davies
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Davies. A scholar is included among the top collaborators of Martin Davies 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 Martin Davies. Martin Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 49 | |
| 6 | 29 | |
| 7 | 35 | |
| 8 | 23 | |
| 9 | 52 | |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 23 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 20 | |
| 17 | 4 | |
| 18 | 28 | |
| 19 | 15 | |
| 20 | 5 |
About Martin Davies
Martin Davies is a scholar working on Cellular and Molecular Neuroscience, Surgery and Biotechnology, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Receptor Mechanisms and Signaling (7 papers) and Nicotinic Acetylcholine Receptors Study (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (319 citations), Developmental Neuroscience (30 citations) and Biological Psychiatry (17 citations). Martin Davies has collaborated with scholars based in United Kingdom, South Africa and Canada. Frequent co-authors include Susan M. J. Dunn, Wolfgang Epstein, Alan N. Bateson, E Sabbadini, Ian L. Martin, J. Glen Newell, Peter Beale, Michelle I. Arnot, Jeremy J. Lambert and Anna Lisa Muntoni. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and JNCI Journal of the National Cancer Institute.
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.