Jennifer M. Gilson
- Developmental Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Neurology top 5%
- Co-authors
- Robin J.M. FranklinWilliam F. BlakemoreW. F. BlakemoreA. J. CrangIsabelle FranceschiniSusan C. BarnettSimon ShieldsDivya M. Chari
- Topics
- Neurogenesis and neuroplasticity mechanisms (15 papers)Nerve injury and regeneration (6 papers)Mesenchymal stem cell research (3 papers)
- Partner nations
- United KingdomBelgiumPortugal
In The Last Decade
Jennifer M. Gilson
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Developmental Neuroscience 895
- Cellular and Molecular Neuroscience 570
- Pathology and Forensic Medicine 340
- Molecular Biology 306
- Neurology 272
Countries citing papers authored by Jennifer M. Gilson
This map shows the geographic impact of Jennifer M. Gilson'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 Jennifer M. Gilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Gilson more than expected).
Fields of papers citing papers by Jennifer M. Gilson
This network shows the impact of papers produced by Jennifer M. Gilson. 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 Jennifer M. Gilson. The network helps show where Jennifer M. Gilson may publish in the future.
Co-authorship network of co-authors of Jennifer M. Gilson
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Gilson. A scholar is included among the top collaborators of Jennifer M. Gilson 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 Jennifer M. Gilson. Jennifer M. Gilson 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 | 61 | |
| 3 | 20 | |
| 4 | The expression of somatostatin receptors in human granulosa cells | 1 |
| 5 | 51 | |
| 6 | 35 | |
| 7 | 53 | |
| 8 | 69 | |
| 9 | 33 | |
| 10 | 23 | |
| 11 | 39 | |
| 12 | 221 | |
| 13 | 38 | |
| 14 | 153 | |
| 15 | 248 | |
| 16 | 12 | |
| 17 | 86 |
About Jennifer M. Gilson
Jennifer M. Gilson is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (15 papers), Nerve injury and regeneration (6 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Developmental Neuroscience (895 citations), Neurology (272 citations) and Cellular and Molecular Neuroscience (570 citations). Jennifer M. Gilson has collaborated with scholars based in United Kingdom, Belgium and Portugal. Frequent co-authors include Robin J.M. Franklin, William F. Blakemore, W. F. Blakemore, A. J. Crang, Isabelle Franceschini, Susan C. Barnett, Simon Shields, Divya M. Chari, Wen‐Wu Li and Siddharthan Chandran. Their work appears in journals such as Brain, European Journal of Neuroscience and Experimental 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.