Suzanne M. Clerkin

18 total papers · 774 total citations
15 papers, 609 citations indexed

About

Suzanne M. Clerkin is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Clinical Psychology. According to data from OpenAlex, Suzanne M. Clerkin has authored 15 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 7 papers in Psychiatry and Mental health and 2 papers in Clinical Psychology. Recurrent topics in Suzanne M. Clerkin's work include Neural and Behavioral Psychology Studies (11 papers), Functional Brain Connectivity Studies (11 papers) and Attention Deficit Hyperactivity Disorder (7 papers). Suzanne M. Clerkin is often cited by papers focused on Neural and Behavioral Psychology Studies (11 papers), Functional Brain Connectivity Studies (11 papers) and Attention Deficit Hyperactivity Disorder (7 papers). Suzanne M. Clerkin collaborates with scholars based in United States, United Kingdom and China. Suzanne M. Clerkin's co-authors include Jin Fan, Jeffrey H. Newcorn, Kurt P. Schulz, Jeffrey M. Halperin, Jeffrey M. Halperin, Cheuk Y. Tang, David J. Marks, Anne‐Claude Bedard, Iliyan Ivanov and Olga G. Berwid and has published in prestigious journals such as NeuroImage, American Journal of Psychiatry and Biological Psychiatry.

In The Last Decade

Suzanne M. Clerkin

15 papers receiving 589 citations

Author Peers

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

Author Last Decade Papers Cites
Suzanne M. Clerkin 393 323 170 60 47 15 609
Norbert Skokauskas 384 1.0× 186 0.6× 286 1.7× 48 0.8× 36 0.8× 25 645
Boong Nyun Kim 233 0.6× 332 1.0× 199 1.2× 59 1.0× 26 0.6× 10 526
Bergljót Gyða Guðmundsdóttir 339 0.9× 431 1.3× 128 0.8× 77 1.3× 36 0.8× 21 613
Patrick W. L. Leung 255 0.6× 326 1.0× 165 1.0× 107 1.8× 60 1.3× 26 560
Umberto Provenzani 255 0.6× 354 1.1× 174 1.0× 82 1.4× 80 1.7× 26 579
Shih-Kai Liu 247 0.6× 190 0.6× 185 1.1× 30 0.5× 39 0.8× 19 667
Deborah Tamlyn 332 0.8× 339 1.0× 91 0.5× 46 0.8× 58 1.2× 17 606
Leticia Boada 349 0.9× 283 0.9× 160 0.9× 35 0.6× 29 0.6× 21 515
Jason Royal 381 1.0× 267 0.8× 156 0.9× 89 1.5× 27 0.6× 9 636
Adina S. Fischer 237 0.6× 150 0.5× 113 0.7× 136 2.3× 36 0.8× 20 544

Countries citing papers authored by Suzanne M. Clerkin

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne M. Clerkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne M. Clerkin

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne M. Clerkin. A scholar is included among the top collaborators of Suzanne M. Clerkin 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 Suzanne M. Clerkin. Suzanne M. Clerkin 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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