Paul K. Reardon

1.5k citations
15 papers · 844 indexed · 1 hit paper · h-index 12

Paul K. Reardon

15 papers receiving 837 citations

Hit Papers

Morphometric Similarity Networks Detect Microscale Cortic...284201720262020202350100150200250

Peers

Paul K. Reardon
Comparison fields: 5 of 96
  • Cognitive Neuroscience 433
  • Behavioral Neuroscience 47
  • Radiology, Nuclear Medicine and Imaging 228
  • Biological Psychiatry 20
  • Experimental and Cognitive Psychology 100
Replace Emma Neilson with:
Emma Neilson United Kingdom
Clara Alloza United Kingdom
Gabriëlla A.M. Blokland United States
Budhachandra Khundrakpam Canada
Lisette J. van der Knaap Netherlands
Mohammad Khaledy United States
Barbara Gelao Italy
Mira M. Raman United States
Kevin Anderson United States
I.L.C. van Soelen Netherlands
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Citations per year

Countries citing papers authored by Paul K. Reardon

Since Specialization
Citations

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

Fields of papers citing papers by Paul K. Reardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul K. Reardon. 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 Paul K. Reardon. The network helps show where Paul K. Reardon may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Paul K. Reardon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul K. Reardon Line = papers co-authored together Paul K. Reardon links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202312
2 20229
3 202133
4 20211
5 202123
6 201931
7 2018136
8 201819
9 2018122
10 201750
11
Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variationbreakdown →
2017284
12 201650
13 201641
14 198310
15
Secondary amenorrhea associated with balanced X-autosome translocation.
197723

About Paul K. Reardon

Paul K. Reardon is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Neurology, having authored 15 papers that have together received 844 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Genomic variations and chromosomal abnormalities (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Stress Responses and Cortisol (2 papers), Pluripotent Stem Cells Research (2 papers), Neural dynamics and brain function (2 papers), CAR-T cell therapy research (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (433 citations), Behavioral Neuroscience (47 citations) and Radiology, Nuclear Medicine and Imaging (228 citations). Paul K. Reardon has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Liv Clasen, Armin Raznahan, Jonathan D. Blumenthal, Jakob Seidlitz, Siyuan Liu, M. Mallar Chakravarty, Jay N. Giedd, François Lalonde, Jason P. Lerch and Deanna Greenstein.

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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