G. Campbell
- Cellular and Molecular Neuroscience top 1%
- Developmental Neuroscience top 0.5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- A. R. LiebermanPatrick N. AndersonCJ ShatzYonghui ZhangMelitta SchachnerElisabetta VaudanoKwok‐Fai SoMark Turmaine
- Topics
- Nerve injury and regeneration (21 papers)Neuroscience and Neuropharmacology Research (17 papers)Neurogenesis and neuroplasticity mechanisms (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Comparative Neurology
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
G. Campbell
40 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 1.3k
- Developmental Neuroscience 690
- Molecular Biology 638
- Cognitive Neuroscience 137
- Pathology and Forensic Medicine 134
Countries citing papers authored by G. Campbell
This map shows the geographic impact of G. Campbell'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 G. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Campbell more than expected).
Fields of papers citing papers by G. Campbell
This network shows the impact of papers produced by G. Campbell. 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 G. Campbell. The network helps show where G. Campbell may publish in the future.
Co-authorship network of co-authors of G. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of G. Campbell. A scholar is included among the top collaborators of G. Campbell 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 G. Campbell. G. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 29 | |
| 3 | 97 | |
| 4 | 15 | |
| 5 | 10 | |
| 6 | 23 | |
| 7 | 86 | |
| 8 | 9 | |
| 9 | 21 | |
| 10 | 40 | |
| 11 | 84 | |
| 12 | 8 | |
| 13 | 56 | |
| 14 | 62 | |
| 15 | 85 | |
| 16 | 23 | |
| 17 | 67 | |
| 18 | 46 | |
| 19 | 13 | |
| 20 | 48 |
About G. Campbell
G. Campbell is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Ophthalmology, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nerve injury and regeneration (21 papers), Neuroscience and Neuropharmacology Research (17 papers) and Neurogenesis and neuroplasticity mechanisms (15 papers). The work is most often cited by research in Developmental Neuroscience (690 citations), Cellular and Molecular Neuroscience (1.3k citations) and Neurology (109 citations). G. Campbell has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include A. R. Lieberman, Patrick N. Anderson, CJ Shatz, Yonghui Zhang, Melitta Schachner, Elisabetta Vaudano, Kwok‐Fai So, Mark Turmaine, Rudolf Martini and Douglas O. Frost. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Comparative Neurology.
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.