David E. Goldgar

21.8k citations
128 papers · 6.7k indexed · 2 hit papers · h-index 45

David E. Goldgar

126 papers receiving 6.5k citations

Hit Papers

Associations Betwee...3931988202620002013100200300400500

Peers

David E. Goldgar
Comparison fields: 5 of 138
  • Genetics 3.1k
  • Cancer Research 1.3k
  • Pathology and Forensic Medicine 1.3k
  • Oncology 1.7k
  • Orthopedics and Sports Medicine 528
Replace Shuji Takada with:
Shuji Takada Japan
Clair A. Francomano United States
Bruce D. Gelb United States
Elaine Spector United States
Nazneen Aziz United States
Egbert Bakker Netherlands
Arupa Ganguly United States
Miikka Vikkula Belgium
Madhuri Hegde United States
Bruce G. Robinson Australia
David E. Goldgar relative to Shuji Takada Japan Shuji Takada's profile →
Citations per field
00.5×1.5×2.3×
Shuji Takada · 1×
Citations per year

Countries citing papers authored by David E. Goldgar

Since Specialization
Citations

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

Fields of papers citing papers by David E. Goldgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 20227
3 20228
4 20183
5 20175
6 201361
7 201235
8 2010132
9 200990
10 2008159
11 1996219
12 19952
13
Test of linkage between candidate loci and a prostate cancer susceptibility locus in a set of high risk kindreds
19941
14 199476
15 19924
16 1991153
17 198998
18 19897
19 198991
20 19855

About David E. Goldgar

David E. Goldgar is a scholar working on Genetics, Cancer Research, Pathology and Forensic Medicine, Oncology and Orthopedics and Sports Medicine, having authored 128 papers that have together received 6.7k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (51 papers), Cancer Genomics and Diagnostics (28 papers), Genetic factors in colorectal cancer (24 papers), Genomics and Rare Diseases (18 papers), DNA Repair Mechanisms (17 papers), Genomic variations and chromosomal abnormalities (15 papers), Cutaneous Melanoma Detection and Management (13 papers) and Genetic Associations and Epidemiology (10 papers). The work is most often cited by research in Genetics (3.1k citations), Cancer Research (1.3k citations), Pathology and Forensic Medicine (1.3k citations), Oncology (1.7k citations) and Orthopedics and Sports Medicine (528 citations). David E. Goldgar has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include John C. Gallagher, Mark H. Skolnick, Lisa Cannon‐Albright, James P. Kushner, Sean V. Tavtigian, Warren T. Kable, Linda M. Griffen, Corwin Q. Edwards, Fergus J. Couch and Bing Feng. Their work appears in journals such as Human Mutation, JNCI Journal of the National Cancer Institute, Genomics, Breast Cancer Research and Treatment and Breast Cancer Research.

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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