Daniel E. Gustavson

81 papers receiving 2.6k citations

Daniel E. Gustavson's Hit Papers

Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function 2018 · 493 citations
4930+2+5Years since publication100200300400

Peers

Daniel E. Gustavson
Comparison fields: 5 of 131
  • Psychiatry and Mental health 722
  • Cognitive Neuroscience 568
  • Experimental and Cognitive Psychology 468
  • Neuropsychology and Physiological Psychology 64
  • Clinical Psychology 439
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Citations per year

Countries citing papers authored by Daniel E. Gustavson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Gustavson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Gustavson. 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 Daniel E. Gustavson. The network helps show where Daniel E. Gustavson may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel E. Gustavson, 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 Daniel E. Gustavson Line = papers co-authored together Daniel E. Gustavson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function
Hit paper breakdown →
2018493
2 2014134
3 2019123
4 2016112
5 2019112
6 201884
7 202177
8 201573
9 201568
10 201768
11 201767
12 201867
13 202265
14 202163
15 201862
16 202162
17 201957
18 201855
19 202048
20 202242

About Daniel E. Gustavson

Daniel E. Gustavson is a scholar working on Psychiatry and Mental health, Experimental and Cognitive Psychology, Cognitive Neuroscience, Genetics and Clinical Psychology, having authored 87 papers that have together received 2.7k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (28 papers), Cognitive Abilities and Testing (20 papers), Genetic Associations and Epidemiology (15 papers), Neural and Behavioral Psychology Studies (8 papers), Neuroscience and Music Perception (8 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Language Development and Disorders (4 papers) and Substance Abuse Treatment and Outcomes (4 papers). The work is most often cited by research in Psychiatry and Mental health (722 citations), Cognitive Neuroscience (568 citations), Experimental and Cognitive Psychology (468 citations), Neuropsychology and Physiological Psychology (64 citations) and Clinical Psychology (439 citations). Daniel E. Gustavson has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Akira Miyake, Naomi P. Friedman, John K. Hewitt, William S. Kremen, Carol E. Franz, Michael J. Lyons, Matthew S. Panizzon, Chandra A. Reynolds, Jeremy A. Elman and Robin P. Corley. Their work appears in journals such as Journal of Experimental Psychology General, Alzheimer s & Dementia, Nature Communications, Clinical Psychological Science and Journal of the International Neuropsychological Society.

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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