Simon Beggs
- Physiology top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Neurology top 0.5%
- Molecular Biology top 5%
- Pediatrics, Perinatology and Child Health top 1%
- Co-authors
- Michael W. SalterTuan TrangYves De KoninckKazuhide InoueMakoto TsudaClaude GravelMelinda FitzgeraldXiang Wan
- Topics
- Pain Mechanisms and Treatments (30 papers)Neuropeptides and Animal Physiology (13 papers)Neuroinflammation and Neurodegeneration Mechanisms (10 papers)
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Simon Beggs
52 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Physiology 3.8k
- Cellular and Molecular Neuroscience 2.8k
- Neurology 1.5k
- Molecular Biology 1.4k
- Pediatrics, Perinatology and Child Health 731
Countries citing papers authored by Simon Beggs
This map shows the geographic impact of Simon Beggs'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 Simon Beggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Beggs more than expected).
Fields of papers citing papers by Simon Beggs
This network shows the impact of papers produced by Simon Beggs. 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 Simon Beggs. The network helps show where Simon Beggs may publish in the future.
Co-authorship network of co-authors of Simon Beggs
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Beggs. A scholar is included among the top collaborators of Simon Beggs 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 Simon Beggs. Simon Beggs 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 | 22 | |
| 3 | 72 | |
| 4 | 26 | |
| 5 | 36 | |
| 6 | 162 | |
| 7 | 3 | |
| 8 | 29 | |
| 9 | 97 | |
| 10 | 34 | |
| 11 | 122 | |
| 12 | 143 | |
| 13 | 392 | |
| 14 | 10 | |
| 15 | 65 | |
| 16 | 87 | |
| 17 | 60 | |
| 18 | 99 | |
| 19 | Withdrawal of A beta fibres from substantia gelatinosa during normal postnatal development is an activity-dependent process | 2 |
| 20 | 143 |
About Simon Beggs
Simon Beggs is a scholar working on Developmental Neuroscience, Physiology and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 6.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (30 papers), Neuropeptides and Animal Physiology (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). The work is most often cited by research in Neurology (1.5k citations), Cellular and Molecular Neuroscience (2.8k citations) and Physiology (3.8k citations). Simon Beggs has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Michael W. Salter, Tuan Trang, Yves De Koninck, Kazuhide Inoue, Makoto Tsuda, Claude Gravel, Melinda Fitzgerald, Xiang Wan, Josiane C.S. Mapplebeck and Suellen M. Walker. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.
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.