Natalie Connor‐Robson
- Neurology top 2%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology top 10%
- Cell Biology top 10%
- Co-authors
- Richard Wade‐MartinsVladimir L. BuchmanNatalia NinkinaOwen M. PetersRebecca L. WallingsTatyana A. ShelkovnikovaHannah K. RobinsonSteven J. Millership
- Topics
- Parkinson's Disease Mechanisms and Treatments (15 papers)Neuroscience and Neuropharmacology Research (6 papers)Alzheimer's disease research and treatments (6 papers)
- Partner nations
- United KingdomRussiaUnited States
In The Last Decade
Natalie Connor‐Robson
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Neurology 690
- Cellular and Molecular Neuroscience 371
- Molecular Biology 350
- Physiology 261
- Cell Biology 153
Countries citing papers authored by Natalie Connor‐Robson
This map shows the geographic impact of Natalie Connor‐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 Natalie Connor‐Robson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Connor‐Robson more than expected).
Fields of papers citing papers by Natalie Connor‐Robson
This network shows the impact of papers produced by Natalie Connor‐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 Natalie Connor‐Robson. The network helps show where Natalie Connor‐Robson may publish in the future.
Co-authorship network of co-authors of Natalie Connor‐Robson
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Connor‐Robson. A scholar is included among the top collaborators of Natalie Connor‐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 Natalie Connor‐Robson. Natalie Connor‐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 | 0 | |
| 2 | 13 | |
| 3 | 7 | |
| 4 | 27 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 16 | |
| 8 | 22 | |
| 9 | 100 | |
| 10 | 12 | |
| 11 | 54 | |
| 12 | 45 | |
| 13 | 56 | |
| 14 | 21 | |
| 15 | 53 | |
| 16 | 91 | |
| 17 | 40 | |
| 18 | 42 | |
| 19 | 20 | |
| 20 | 24 |
About Natalie Connor‐Robson
Natalie Connor‐Robson is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (15 papers), Neuroscience and Neuropharmacology Research (6 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Neurology (690 citations), Cellular and Molecular Neuroscience (371 citations) and Neurology (149 citations). Natalie Connor‐Robson has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include Richard Wade‐Martins, Vladimir L. Buchman, Natalia Ninkina, Owen M. Peters, Rebecca L. Wallings, Tatyana A. Shelkovnikova, Hannah K. Robinson, Steven J. Millership, Stephanie J. Cragg and Sarah Threlfell. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.
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.