David Duggan

20.5k citations
111 papers · 6.0k indexed · 2 hit papers · h-index 37

Impact in

Papers in

David Duggan

105 papers receiving 5.8k citations

Hit Papers

Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays 2008 · 757 citations
75719992026200820172505007501000

Peers

David Duggan
Comparison fields: 5 of 169
  • Genetics 1.5k
  • Cancer Research 817
  • Molecular Biology 3.3k
  • Pathology and Forensic Medicine 556
  • Cellular and Molecular Neuroscience 412
Replace Anil G. Jegga with:
Anil G. Jegga United States
Gregory W. Gundersen United States
Sherry L. Jenkins United States
Marina Sirota United States
Jennifer M. Lee United States
Caroline D. Monteiro United States
Ken Matsumoto Japan
Kenichi Matsubara Japan
Mary J. Emond United States
Maxim V. Kuleshov United States
David Duggan relative to Anil G. Jegga United States Anil G. Jegga's profile →
Citations per field
00.5×1.5×1.8×
Anil G. Jegga · 1×
Citations per year

Countries citing papers authored by David Duggan

Since Specialization
Citations

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

Fields of papers citing papers by David Duggan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Duggan. 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 David Duggan. The network helps show where David Duggan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201914
3 201918
4 20196
5 201720
6 201617
7 20147
8 201225
9 201224
10 201125
11 201132
12 201051
13 201032
14 201040
15 200936
16 200958
17 200951
18 200879
19 199542
20 199320

About David Duggan

David Duggan is a scholar working on Genetics, Pathology and Forensic Medicine, Cancer Research, Rheumatology and Molecular Biology, having authored 111 papers that have together received 6.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (31 papers), Genetic factors in colorectal cancer (19 papers), Muscle Physiology and Disorders (11 papers), Prostate Cancer Treatment and Research (11 papers), BRCA gene mutations in cancer (9 papers), Folate and B Vitamins Research (9 papers), Epigenetics and DNA Methylation (9 papers) and Molecular Biology Techniques and Applications (7 papers). The work is most often cited by research in Genetics (1.5k citations), Cancer Research (817 citations), Molecular Biology (3.3k citations), Pathology and Forensic Medicine (556 citations) and Cellular and Molecular Neuroscience (412 citations). David Duggan has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Michael Bittner, Paul S. Meltzer, Yidong Chen, J.M. Trent, Eric P. Hoffman, Jill Muehling, Stanley F. Nelson, Nils Homer, David W. Craig and John V. Pearson. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, The Prostate, Cancer Research, Nature Genetics and Journal of Nutrition.

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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