Connie Marras
- Neurology top 0.05%
- Cellular and Molecular Neuroscience top 0.5%
- Psychiatry and Mental health top 0.5%
- Molecular Biology top 5%
- Cognitive Neuroscience top 2%
- Co-authors
- Anthony E. LangCaroline M. TannerPaula A. RochonК. Ray ChaudhuriSamuel M. GoldmanMeike KastenJ. William LangstonG. Webster Ross
- Topics
- Parkinson's Disease Mechanisms and Treatments (174 papers)Neurological disorders and treatments (76 papers)Autism Spectrum Disorder Research (21 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetSHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Connie Marras
224 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Neurology 6.9k
- Cellular and Molecular Neuroscience 1.9k
- Psychiatry and Mental health 1.7k
- Molecular Biology 1.4k
- Cognitive Neuroscience 1.2k
Countries citing papers authored by Connie Marras
This map shows the geographic impact of Connie Marras'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 Connie Marras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connie Marras more than expected).
Fields of papers citing papers by Connie Marras
This network shows the impact of papers produced by Connie Marras. 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 Connie Marras. The network helps show where Connie Marras may publish in the future.
Co-authorship network of co-authors of Connie Marras
This figure shows the co-authorship network connecting the top 25 collaborators of Connie Marras. A scholar is included among the top collaborators of Connie Marras 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 Connie Marras. Connie Marras 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 21 | |
| 10 | 1 | |
| 11 | 36 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | 58 | |
| 16 | 12 | |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 18 | |
| 20 | 20 |
About Connie Marras
Connie Marras is a scholar working on Neurology, Psychiatry and Mental health and Neurology, having authored 237 papers that have together received 10.5k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (174 papers), Neurological disorders and treatments (76 papers) and Autism Spectrum Disorder Research (21 papers). The work is most often cited by research in Neurology (6.9k citations), Neurology (1.1k citations) and Psychiatry and Mental health (1.7k citations). Connie Marras has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Anthony E. Lang, Caroline M. Tanner, Paula A. Rochon, К. Ray Chaudhuri, Samuel M. Goldman, Meike Kasten, J. William Langston, G. Webster Ross, Cheryl Meng and Susan H. Fox. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.
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.