Daniel E. Weeks

29.2k citations
214 papers · 10.7k indexed · 1 hit paper · h-index 53

Daniel E. Weeks

206 papers receiving 10.3k citations

Hit Papers

PedCheck: A Program for Identification of Genotype Incomp...1.7k199820262007201650010001.5k

Peers

Daniel E. Weeks
Comparison fields: 5 of 178
  • Genetics 4.6k
  • Ophthalmology 1.3k
  • Periodontics 237
  • Immunology 1.1k
  • Molecular Biology 3.4k
Replace Jeffrey C. Murray with:
Jeffrey C. Murray United States
Alan F. Wright United Kingdom
André Reis Germany
Pamela Sklar United States
Manuel A. R. Ferreira Australia
S.A. Miller United States
Jeffrey C. Barrett United Kingdom
Michael Boehnke United States
Fumihiko Matsuda Japan
Mark Daly United States
Daniel E. Weeks relative to Jeffrey C. Murray United States Jeffrey C. Murray's profile →
Citations per field
00.5×2.9×
Jeffrey C. Murray · 1×
Citations per year

Countries citing papers authored by Daniel E. Weeks

Since Specialization
Citations

This map shows the geographic impact of Daniel E. Weeks'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. Weeks 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. Weeks more than expected).

Fields of papers citing papers by Daniel E. Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20244
4 20224
5 20223
6 202114
7 201373
8 201229
9 201118
10 200961
11 20083
12 20076
13 20065
14 2006121
15 200630
16
International Endogene Study finds strong evidence of susceptibility loci for endometriosis at two genomic regions
20024
17 200217
18 199510
19 198927
20
New mathematical methods for human gene mapping
19882

About Daniel E. Weeks

Daniel E. Weeks is a scholar working on Genetics, Ophthalmology and Periodontics, having authored 214 papers that have together received 10.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (79 papers), Genetic Mapping and Diversity in Plants and Animals (42 papers), Genomic variations and chromosomal abnormalities (23 papers), Genetic and phenotypic traits in livestock (22 papers), Retinal Diseases and Treatments (19 papers), Epigenetics and DNA Methylation (18 papers), Retinal Imaging and Analysis (15 papers) and Bioinformatics and Genomic Networks (14 papers). The work is most often cited by research in Genetics (4.6k citations), Ophthalmology (1.3k citations) and Periodontics (237 citations). Daniel E. Weeks has collaborated with scholars based in United States, United Kingdom and Samoa. Frequent co-authors include Kenneth Lange, Michael B. Gorin, Jeffrey R. O’Connell, Yvette P. Conley, Robert E. Ferrell, Jóhanna Jakobsdóttir, Tammy S. Mah, G. Mark Lathrop, Lynn R. Goldin and Sean Davis. Their work appears in journals such as Genetic Epidemiology, The American Journal of Human Genetics, Human Heredity, Human Molecular Genetics and Nature Genetics.

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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