Gerald E. McClearn

217 papers receiving 11.6k citations

Gerald E. McClearn's Hit Papers

Substantial Genetic Influence on Cognitive Abilities in Twins 80 or More Years Old 1997 · 541 citations
5410+22+44Years since publication250500750

Peers

Gerald E. McClearn
Comparison fields: 5 of 173
  • Neuropsychology and Physiological Psychology 505
  • Aging 388
  • Experimental and Cognitive Psychology 2.7k
  • Health 762
  • Cellular and Molecular Neuroscience 1.6k
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Countries citing papers authored by Gerald E. McClearn

Since Specialization
Citations

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

Fields of papers citing papers by Gerald E. McClearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Body-Mass Index of Twins Who Have Been Reared Apart
Hit paper breakdown →
1990864
2
Substantial Genetic Influence on Cognitive Abilities in Twins 80 or More Years Old
Hit paper breakdown →
1997541
3 1993414
4
Differences in Alcohol Preference among Inbred Strains of Mice
Hit paper breakdown →
1959394
5 1993343
6 1991251
7 1992241
8 2007239
9 2002237
10 1992220
11 2006192
12 1988187
13 1998184
14 1993169
15 1990166
16 1979157
17 2004152
18 1991147
19 1988146
20 1966140

About Gerald E. McClearn

Gerald E. McClearn is a scholar working on Genetics, Experimental and Cognitive Psychology, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 218 papers that have together received 12.4k indexed citations. Recurring topics across this work include Cognitive Abilities and Testing (53 papers), Genetic Mapping and Diversity in Plants and Animals (43 papers), Genetic and phenotypic traits in livestock (20 papers), Genetic Associations and Epidemiology (19 papers), Adipose Tissue and Metabolism (17 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Health disparities and outcomes (12 papers) and Aging and Gerontology Research (11 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (505 citations), Aging (388 citations), Experimental and Cognitive Psychology (2.7k citations), Health (762 citations) and Cellular and Molecular Neuroscience (1.6k citations). Gerald E. McClearn has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Nancy L. Pedersen, Robert Plomin, David Rodgers, John R. Nesselroade, Boo Johansson, Jennifer R. Harris, Albert J. Stunkard, Stig Berg, C. S. Bergeman and Paul Lichtenstein. Their work appears in journals such as Behavior Genetics, Alcoholism Clinical and Experimental Research, Psychology and Aging, Intelligence and The Journals of Gerontology Series A.

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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