Matthew C. Tate

161 total papers · 4.0k total citations
88 papers, 2.3k citations indexed

About

Matthew C. Tate is a scholar working on Genetics, Epidemiology and Neurology. According to data from OpenAlex, Matthew C. Tate has authored 88 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 23 papers in Epidemiology and 16 papers in Neurology. Recurrent topics in Matthew C. Tate's work include Glioma Diagnosis and Treatment (32 papers), Meningioma and schwannoma management (19 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Matthew C. Tate is often cited by papers focused on Glioma Diagnosis and Treatment (32 papers), Meningioma and schwannoma management (19 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Matthew C. Tate collaborates with scholars based in United States, France and Italy. Matthew C. Tate's co-authors include Michelle C. LaPlaca, Manish K. Aghi, David R. Archer, Hugues Duffau, Deborah A. Shear, Donald G. Stein, Sylvie Moritz‐Gasser, Guillaume Herbet, Marc W. Slutzky and Joseph Euzebe Tate and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Matthew C. Tate

75 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Matthew C. Tate 727 572 446 392 373 88 2.3k
Juan A. Barcia 446 0.6× 261 0.5× 701 1.6× 217 0.6× 188 0.5× 108 2.3k
Carlo Giussani 724 1.0× 725 1.3× 185 0.4× 535 1.4× 753 2.0× 108 2.7k
Roland Coras 345 0.5× 517 0.9× 807 1.8× 142 0.4× 297 0.8× 112 2.7k
Enrica Fava 775 1.1× 815 1.4× 197 0.4× 529 1.3× 900 2.4× 47 2.3k
J. Romstöck 360 0.5× 356 0.6× 470 1.1× 640 1.6× 482 1.3× 37 2.2k
Sungyoung Auh 454 0.6× 470 0.8× 638 1.4× 431 1.1× 300 0.8× 82 3.0k
Ludovico D’Incerti 553 0.8× 264 0.5× 527 1.2× 257 0.7× 446 1.2× 87 2.7k
Minoru Fujiki 311 0.4× 308 0.5× 511 1.1× 442 1.1× 188 0.5× 154 2.6k
Keith G. Davies 1.0k 1.4× 227 0.4× 930 2.1× 176 0.4× 163 0.4× 72 3.1k
Masazumi Fujii 211 0.3× 456 0.8× 235 0.5× 404 1.0× 313 0.8× 123 2.1k

Countries citing papers authored by Matthew C. Tate

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Tate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Tate. 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 Matthew C. Tate. The network helps show where Matthew C. Tate may publish in the future.

Co-authorship network of co-authors of Matthew C. Tate

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Tate. A scholar is included among the top collaborators of Matthew C. Tate 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 Matthew C. Tate. Matthew C. Tate 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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