David S. Race

699 total citations
8 papers, 464 citations indexed

About

David S. Race is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Psychiatry and Mental health. According to data from OpenAlex, David S. Race has authored 8 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Developmental and Educational Psychology and 2 papers in Psychiatry and Mental health. Recurrent topics in David S. Race's work include Neurobiology of Language and Bilingualism (8 papers), Reading and Literacy Development (6 papers) and Language Development and Disorders (3 papers). David S. Race is often cited by papers focused on Neurobiology of Language and Bilingualism (8 papers), Reading and Literacy Development (6 papers) and Language Development and Disorders (3 papers). David S. Race collaborates with scholars based in United States and United Kingdom. David S. Race's co-authors include Maryellen C. MacDonald, Morten H. Christiansen, Daniel J. Acheson, Argye E. Hillis, Richard Leigh, Yessenia Gomez, Cameron Davis, Andréia V. Faria, Rebecca F. Gottesman and Melissa Newhart and has published in prestigious journals such as Stroke, Neuropsychologia and Cognitive Psychology.

In The Last Decade

David S. Race

8 papers receiving 442 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David S. Race United States 8 382 260 87 74 60 8 464
Francesca M. Branzi United Kingdom 13 730 1.9× 472 1.8× 65 0.7× 143 1.9× 33 0.6× 20 781
Daniel Kleinman United States 10 404 1.1× 280 1.1× 58 0.7× 111 1.5× 35 0.6× 21 444
Mikael Roll Sweden 18 582 1.5× 405 1.6× 77 0.9× 274 3.7× 65 1.1× 57 701
Aya Meltzer‐Asscher Israel 15 521 1.4× 339 1.3× 140 1.6× 105 1.4× 105 1.8× 39 626
Esti Blanco-Elorrieta United States 13 634 1.7× 452 1.7× 70 0.8× 151 2.0× 40 0.7× 19 715
Hannelore Lee-Jahnke Switzerland 7 353 0.9× 235 0.9× 92 1.1× 67 0.9× 20 0.3× 18 449
Alina Leminen Finland 13 423 1.1× 297 1.1× 31 0.4× 107 1.4× 23 0.4× 29 480
Frédéric Isel France 13 407 1.1× 265 1.0× 46 0.5× 122 1.6× 24 0.4× 39 467
Esther Ruigendijk Germany 16 566 1.5× 316 1.2× 108 1.2× 160 2.2× 30 0.5× 54 641
María Mercedes Piñango United States 14 651 1.7× 498 1.9× 238 2.7× 187 2.5× 107 1.8× 30 811

Countries citing papers authored by David S. Race

Since Specialization
Citations

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

Fields of papers citing papers by David S. Race

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Race. 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 David S. Race. The network helps show where David S. Race may publish in the future.

Co-authorship network of co-authors of David S. Race

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

All Works

8 of 8 papers shown
1.
Faria, Andréia V., David S. Race, Kevin Kim, & Argye E. Hillis. (2018). The eyes reveal uncertainty about object distinctions in semantic variant primary progressive aphasia. Cortex. 103. 372–381. 14 indexed citations
2.
Sebastian, Rajani, Jeremy J. Purcell, Andréia V. Faria, et al.. (2016). Imaging network level language recovery after left PCA stroke. Restorative Neurology and Neuroscience. 34(4). 473–489. 34 indexed citations
3.
Race, David S., Kyrana Tsapkini, Jenny Crinion, et al.. (2013). An area essential for linking word meanings to word forms: Evidence from primary progressive aphasia. Brain and Language. 127(2). 167–176. 27 indexed citations
4.
Varma, Daniel D., Yessenia Gomez, David S. Race, et al.. (2013). Chronic Apraxia of Speech and Broca’s Area. Stroke. 44(3). 740–744. 37 indexed citations
5.
Race, David S., et al.. (2012). Lesion analysis of cortical regions associated with the comprehension of Nonreversible and Reversible yes/no questions. Neuropsychologia. 50(8). 1946–1953. 18 indexed citations
6.
Newhart, Melissa, Yessenia Gomez, Lauren Cloutman, et al.. (2011). Asyntactic comprehension, working memory, and acute ischemia in Broca’s area versus angular gyrus. Cortex. 48(10). 1288–1297. 42 indexed citations
7.
Christiansen, Morten H., et al.. (2008). Experience and sentence processing: Statistical learning and relative clause comprehension. Cognitive Psychology. 58(2). 250–271. 258 indexed citations
8.
Race, David S. & Maryellen C. MacDonald. (2003). The use of "that" in the Production and Comprehension of Object Relative Clauses. eScholarship (California Digital Library). 25(25). 34 indexed citations

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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