Linda E. Robson
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Physiology top 5%
- Social Psychology top 5%
- Behavioral Neuroscience top 5%
- Co-authors
- H. W. KosterlitzSue PatersonMaureen Gc GillanA.T. McKnightA.D. CorbettAlessandra TavaniR. MaurerPaola Petrillo
- Topics
- Neuropeptides and Animal Physiology (21 papers)Pharmacological Receptor Mechanisms and Effects (17 papers)Receptor Mechanisms and Signaling (16 papers)
- Partner nations
- United KingdomItalySwitzerland
In The Last Decade
Linda E. Robson
24 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Cellular and Molecular Neuroscience 1.7k
- Molecular Biology 1.4k
- Physiology 402
- Social Psychology 192
- Behavioral Neuroscience 85
Countries citing papers authored by Linda E. Robson
This map shows the geographic impact of Linda E. Robson'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 Linda E. Robson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda E. Robson more than expected).
Fields of papers citing papers by Linda E. Robson
This network shows the impact of papers produced by Linda E. Robson. 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 Linda E. Robson. The network helps show where Linda E. Robson may publish in the future.
Co-authorship network of co-authors of Linda E. Robson
This figure shows the co-authorship network connecting the top 25 collaborators of Linda E. Robson. A scholar is included among the top collaborators of Linda E. Robson 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 Linda E. Robson. Linda E. Robson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 21 | |
| 4 | 81 | |
| 5 | 6 | |
| 6 | 56 | |
| 7 | 28 | |
| 8 | 89 | |
| 9 | 44 | |
| 10 | 148 | |
| 11 | 19 | |
| 12 | 94 | |
| 13 | CLASSIFICATION OF OPIOID RECEPTORSbreakdown → | 654 |
| 14 | 1 | |
| 15 | 13 | |
| 16 | 5 | |
| 17 | 104 | |
| 18 | 362 | |
| 19 | 82 | |
| 20 | 34 |
About Linda E. Robson
Linda E. Robson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Anesthesiology and Pain Medicine, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (21 papers), Pharmacological Receptor Mechanisms and Effects (17 papers) and Receptor Mechanisms and Signaling (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Behavioral Neuroscience (85 citations) and Molecular Biology (1.4k citations). Linda E. Robson has collaborated with scholars based in United Kingdom, Italy and Switzerland. Frequent co-authors include H. W. Kosterlitz, Sue Paterson, Maureen Gc Gillan, A.T. McKnight, A.D. Corbett, Alessandra Tavani, R. Maurer, Paola Petrillo, Davide Verotta and Angela A. Waterfield. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuroscience and Journal of Neurochemistry.
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.