Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The human disease network
20072.3k citationsK.-I. Goh, Michael E. Cusick et al.Proceedings of the National Academy of Sciencesprofile →
Family history and the risk of prostate cancer
1990476 citationsGary D. Steinberg, Bob S. Carter et al.The Prostateprofile →
DEMONSTRATION OF TWO POPULATIONS OF CELLS IN THE HUMAN FEMALE HETEROZYGOUS FOR GLUCOSE-6-PHOSPHATE DEHYDROGENASE VARIANTS
1963284 citationsBarton Childs et al.Proceedings of the National Academy of Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Barton Childs'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 Barton Childs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barton Childs more than expected).
This network shows the impact of papers produced by Barton Childs. 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 Barton Childs. The network helps show where Barton Childs may publish in the future.
Co-authorship network of co-authors of Barton Childs
This figure shows the co-authorship network connecting the top 25 collaborators of Barton Childs.
A scholar is included among the top collaborators of Barton Childs 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 Barton Childs. Barton Childs is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Goh, K.-I., Michael E. Cusick, David Valle, et al.. (2007). The human disease network. Proceedings of the National Academy of Sciences. 104(21). 8685–8690.2301 indexed citations breakdown →
2.
Cusick, Michael E., et al.. (2007). human disease network.5 indexed citations
Childs, Barton. (1992). Coevolution: Genes, culture, and human diversity.. The American Journal of Human Genetics. 51(4). 913–915.4 indexed citations
7.
Childs, Barton. (1992). Evolutionary genetics and environmental stress. The American Journal of Human Genetics. 50(1). 240–241.52 indexed citations
8.
Pulver, Ann E., Kung‐Yee Liang, C. Hendricks Brown, et al.. (1992). Risk Factors in Schizophrenia. The British Journal of Psychiatry. 160(1). 65–71.56 indexed citations
9.
Steinberg, Gary D., Bob S. Carter, Terri H. Beaty, Barton Childs, & Patrick C. Walsh. (1990). Family history and the risk of prostate cancer. The Prostate. 17(4). 337–347.476 indexed citations breakdown →
10.
Childs, Barton. (1989). Human biology: An introduction to human evolution, variation, growth, and adaptability.. The American Journal of Human Genetics. 44(4). 593–595.50 indexed citations
11.
Childs, Barton. (1988). Human genetics: Problems and approaches. The American Journal of Human Genetics. 42(1). 185–187.5 indexed citations
12.
Finucci, Joan M., Linda S. Gottfredson, & Barton Childs. (1985). A follow-up study of dyslexic boys. Annals of Dyslexia. 35(1). 117–136.63 indexed citations
13.
Childs, Barton. (1983). Why Study Human Genetics?. The American Biology Teacher. 45(1). 42–46.3 indexed citations
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.