Chris Oliver

371 total papers · 14.1k total citations
268 papers, 9.3k citations indexed

About

Chris Oliver is a scholar working on Cognitive Neuroscience, Genetics and Clinical Psychology. According to data from OpenAlex, Chris Oliver has authored 268 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Cognitive Neuroscience, 118 papers in Genetics and 57 papers in Clinical Psychology. Recurrent topics in Chris Oliver's work include Autism Spectrum Disorder Research (119 papers), Genetics and Neurodevelopmental Disorders (77 papers) and Genetic Syndromes and Imprinting (56 papers). Chris Oliver is often cited by papers focused on Autism Spectrum Disorder Research (119 papers), Genetics and Neurodevelopmental Disorders (77 papers) and Genetic Syndromes and Imprinting (56 papers). Chris Oliver collaborates with scholars based in United Kingdom, United States and Australia. Chris Oliver's co-authors include S. Quegan, Scott S. Hall, Joanna Moss, Caroline Richards, Karen A. McClintock, Anthony Holland, Kate Arron, Glynis H. Murphy, Katy Berg and Kate Woodcock and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biological Psychiatry.

In The Last Decade

Chris Oliver

263 papers receiving 8.9k citations

Hit Papers

Understanding Synthetic A... 1998 2026 2007 2016 1998 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Chris Oliver 3.9k 2.9k 2.4k 1.6k 1.3k 268 9.3k
Martin Styner 4.6k 1.2× 1.6k 0.5× 938 0.4× 1.6k 1.0× 2.0k 1.6× 475 17.7k
Robert A. King 4.3k 1.1× 327 0.1× 9.1k 3.8× 2.1k 1.3× 429 0.3× 252 15.8k
Lawrence H. Staib 3.8k 1.0× 290 0.1× 2.6k 1.1× 1.5k 1.0× 553 0.4× 219 14.2k
Nicholas Lange 5.9k 1.5× 1.5k 0.5× 555 0.2× 1.6k 1.0× 1.6k 1.2× 156 12.7k
Margaret J. Wright 4.1k 1.0× 2.3k 0.8× 887 0.4× 1.2k 0.7× 1.4k 1.1× 377 11.5k
John H. Gilmore 6.7k 1.7× 1.3k 0.4× 1.3k 0.5× 1.6k 1.0× 1.9k 1.5× 344 17.7k
Jianfeng Feng 6.0k 1.5× 333 0.1× 410 0.2× 1.0k 0.6× 831 0.7× 357 12.8k
Mert R. Sabuncu 16.0k 4.1× 462 0.2× 605 0.3× 2.7k 1.7× 723 0.6× 162 21.6k
Katherine L. Narr 6.5k 1.7× 787 0.3× 1.5k 0.6× 3.7k 2.3× 839 0.7× 259 13.5k
Joy Hirsch 9.1k 2.3× 323 0.1× 1.6k 0.7× 1.1k 0.7× 1.0k 0.8× 269 18.6k

Countries citing papers authored by Chris Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Chris Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Oliver

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Oliver. A scholar is included among the top collaborators of Chris Oliver 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 Chris Oliver. Chris Oliver 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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