Marek-Marsel Mesulam
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Psychiatry and Mental health top 10%
- Neurology top 10%
- Co-authors
- Douglas L. RoseneGary W. Van HoesenNorman GeschwindDeepak Ν. PandyaSandra WeıntraubEileen H. BigioChangiz GeulaEmily Rogalskı
- Topics
- Alzheimer's disease research and treatments (10 papers)Neurobiology of Language and Bilingualism (7 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Journals
- ScienceNeurologyBrain Research
- Partner nations
- United StatesChinaItaly
In The Last Decade
Marek-Marsel Mesulam
21 papers receiving 743 citations
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 466
- Cellular and Molecular Neuroscience 200
- Physiology 179
- Psychiatry and Mental health 123
- Neurology 110
Countries citing papers authored by Marek-Marsel Mesulam
This map shows the geographic impact of Marek-Marsel Mesulam'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 Marek-Marsel Mesulam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek-Marsel Mesulam more than expected).
Fields of papers citing papers by Marek-Marsel Mesulam
This network shows the impact of papers produced by Marek-Marsel Mesulam. 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 Marek-Marsel Mesulam. The network helps show where Marek-Marsel Mesulam may publish in the future.
Co-authorship network of co-authors of Marek-Marsel Mesulam
This figure shows the co-authorship network connecting the top 25 collaborators of Marek-Marsel Mesulam. A scholar is included among the top collaborators of Marek-Marsel Mesulam 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 Marek-Marsel Mesulam. Marek-Marsel Mesulam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 24 | |
| 3 | 11 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 17 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 50 | |
| 13 | 34 | |
| 14 | 40 | |
| 15 | 21 | |
| 16 | 27 | |
| 17 | 182 | |
| 18 | 104 | |
| 19 | 79 | |
| 20 | 14 |
About Marek-Marsel Mesulam
Marek-Marsel Mesulam is a scholar working on Cognitive Neuroscience, Neurology and Physiology, having authored 21 papers that have together received 776 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Neurobiology of Language and Bilingualism (7 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (466 citations), Neurology (91 citations) and Cellular and Molecular Neuroscience (200 citations). Marek-Marsel Mesulam has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Douglas L. Rosene, Gary W. Van Hoesen, Norman Geschwind, Deepak Ν. Pandya, Sandra Weıntraub, Eileen H. Bigio, Changiz Geula, Emily Rogalskı, Stephan Heckers and Tamar Gefen. Their work appears in journals such as Science, Neurology and Brain 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.