M. Meredith Gillis

10 total papers · 430 total citations
8 papers, 317 citations indexed

About

M. Meredith Gillis is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, M. Meredith Gillis has authored 8 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Psychiatry and Mental health and 1 paper in Molecular Biology. Recurrent topics in M. Meredith Gillis's work include Dementia and Cognitive Impairment Research (3 papers), Memory and Neural Mechanisms (2 papers) and Memory Processes and Influences (2 papers). M. Meredith Gillis is often cited by papers focused on Dementia and Cognitive Impairment Research (3 papers), Memory and Neural Mechanisms (2 papers) and Memory Processes and Influences (2 papers). M. Meredith Gillis collaborates with scholars based in United States. M. Meredith Gillis's co-authors include Elizabeth A. Phelps, Mauricio R. Delgado, Benjamin M. Hampstead, Anthony Y. Stringer, Sarah García, Reem A. Tarazi and Divya S. Khurana and has published in prestigious journals such as Nature Neuroscience, Behavioural Brain Research and Journal of the International Neuropsychological Society.

In The Last Decade

M. Meredith Gillis

8 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
M. Meredith Gillis 197 83 82 42 33 8 317
Keisha Novak 237 1.2× 104 1.3× 57 0.7× 39 0.9× 42 1.3× 9 297
Scott F. Perkins 142 0.7× 75 0.9× 31 0.4× 64 1.5× 62 1.9× 10 314
Teresa M. Karrer 177 0.9× 46 0.6× 43 0.5× 18 0.4× 57 1.7× 8 308
Olivia Plant 186 0.9× 76 0.9× 86 1.0× 16 0.4× 70 2.1× 14 335
Paula Lopez-Gamundi 107 0.5× 68 0.8× 29 0.4× 45 1.1× 52 1.6× 12 237
Phoebe S.‐H. Neo 195 1.0× 122 1.5× 32 0.4× 44 1.0× 25 0.8× 13 276
Tanja Müller 226 1.1× 68 0.8× 41 0.5× 12 0.3× 35 1.1× 12 356
Davide Francesco Stramaccia 244 1.2× 117 1.4× 42 0.5× 40 1.0× 19 0.6× 9 332
Kainan S. Wang 158 0.8× 79 1.0× 24 0.3× 31 0.7× 26 0.8× 12 236
Samantha J. Fede 173 0.9× 52 0.6× 31 0.4× 66 1.6× 38 1.2× 19 329

Countries citing papers authored by M. Meredith Gillis

Since Specialization
Citations

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

Fields of papers citing papers by M. Meredith Gillis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Meredith Gillis. 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 M. Meredith Gillis. The network helps show where M. Meredith Gillis may publish in the future.

Co-authorship network of co-authors of M. Meredith Gillis

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

All Works

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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.

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