James A. R. Dalton
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Materials Chemistry
- Pulmonary and Respiratory Medicine
- Computational Theory and Mathematics top 10%
- Co-authors
- Jesús GiraldoRichard M. JacksonAmadeu LlebariaJean‐Philippe PinXavier Gómez‐SantacanaIsaías LansXavier RoviraCyril Goudet
- Topics
- Receptor Mechanisms and Signaling (20 papers)Neuroscience and Neuropharmacology Research (9 papers)Neuropeptides and Animal Physiology (9 papers)
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
James A. R. Dalton
27 papers receiving 809 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 591
- Cellular and Molecular Neuroscience 446
- Materials Chemistry 217
- Pulmonary and Respiratory Medicine 57
- Computational Theory and Mathematics 55
Countries citing papers authored by James A. R. Dalton
This map shows the geographic impact of James A. R. Dalton'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 James A. R. Dalton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. R. Dalton more than expected).
Fields of papers citing papers by James A. R. Dalton
This network shows the impact of papers produced by James A. R. Dalton. 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 James A. R. Dalton. The network helps show where James A. R. Dalton may publish in the future.
Co-authorship network of co-authors of James A. R. Dalton
This figure shows the co-authorship network connecting the top 25 collaborators of James A. R. Dalton. A scholar is included among the top collaborators of James A. R. Dalton 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 James A. R. Dalton. James A. R. Dalton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 23 | |
| 5 | 21 | |
| 6 | 19 | |
| 7 | 35 | |
| 8 | 52 | |
| 9 | 15 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 31 | |
| 13 | 11 | |
| 14 | 43 | |
| 15 | 17 | |
| 16 | 16 | |
| 17 | 137 | |
| 18 | 10 | |
| 19 | 23 | |
| 20 | 24 |
About James A. R. Dalton
James A. R. Dalton is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 27 papers that have together received 819 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neuropeptides and Animal Physiology (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (446 citations), Molecular Biology (591 citations) and Physiology (26 citations). James A. R. Dalton has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Jesús Giraldo, Richard M. Jackson, Amadeu Llebaria, Jean‐Philippe Pin, Xavier Gómez‐Santacana, Isaías Lans, Xavier Rovira, Cyril Goudet, Pau Gorostiza and Silvia Pittolo. Their work appears in journals such as Bioinformatics, Journal of Molecular Biology and The Journal of Physical Chemistry B.
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.