Maria Curtis

10 total papers · 1.6k total citations
9 papers, 1.2k citations indexed

About

Maria Curtis is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Maria Curtis has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Maria Curtis's work include Nerve injury and regeneration (2 papers), Hemispheric Asymmetry in Neuroscience (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Maria Curtis is often cited by papers focused on Nerve injury and regeneration (2 papers), Hemispheric Asymmetry in Neuroscience (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Maria Curtis collaborates with scholars based in United States, Germany and Sweden. Maria Curtis's co-authors include Karl Zilles, Este Armstrong, Axel Schleicher, Andrew Fairbairn, J. Candy, John Atack, E K Perry, B.E. Tomlinson, Rebecca Perry and G. Blessed and has published in prestigious journals such as Cerebral Cortex, Journal of Neurology Neurosurgery & Psychiatry and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Maria Curtis

9 papers receiving 1.2k citations

Hit Papers

The Ontogeny of Human Gyr... 1995 2026 2005 2015 1995 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maria Curtis 498 279 249 238 212 9 1.2k
Rachel Kelly 728 1.5× 202 0.7× 207 0.8× 299 1.3× 124 0.6× 11 1.3k
Goparlen N. Vythelingum 757 1.5× 199 0.7× 333 1.3× 124 0.5× 365 1.7× 13 1.4k
S. L. Dewey 447 0.9× 527 1.9× 97 0.4× 165 0.7× 301 1.4× 15 1.1k
Jinrong Wei 406 0.8× 580 2.1× 82 0.3× 123 0.5× 184 0.9× 6 1.3k
Linda Patterson 369 0.7× 139 0.5× 77 0.3× 254 1.1× 258 1.2× 16 1.1k
N. Weisenfeld 402 0.8× 812 2.9× 113 0.5× 132 0.6× 368 1.7× 15 1.5k
Harry Vilkman 526 1.1× 693 2.5× 284 1.1× 249 1.0× 476 2.2× 20 1.4k
Khanum Ridler 444 0.9× 144 0.5× 55 0.2× 207 0.9× 232 1.1× 25 1.1k
K.Ranga Rama Krishnan 529 1.1× 156 0.6× 105 0.4× 249 1.0× 292 1.4× 12 999
M. R. C. Psych 256 0.5× 176 0.6× 81 0.3× 110 0.5× 343 1.6× 10 1.1k

Countries citing papers authored by Maria Curtis

Since Specialization
Citations

This map shows the geographic impact of Maria Curtis'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 Maria Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Curtis more than expected).

Fields of papers citing papers by Maria Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Curtis. 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 Maria Curtis. The network helps show where Maria Curtis may publish in the future.

Co-authorship network of co-authors of Maria Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Curtis. A scholar is included among the top collaborators of Maria Curtis 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 Maria Curtis. Maria Curtis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026