David D. Draper

2.1k citations
38 papers · 1.4k · h-index 23

Impact in

  • Aging top 10%
  • Genetics top 5%
    • Genomics and Rare Diseases
    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genomics and Rare Diseases 14
    • Genetics and Neurodevelopmental Disorders 5
    • RNA regulation and disease 5
    • Biomedical Text Mining and Ontologies 4
    • RNA Research and Splicing 3
    • CRISPR and Genetic Engineering 2

David D. Draper

38 papers receiving 1.4k citations

Peers

David D. Draper
Comparison fields: 5 of 94
  • Aging 43
  • Genetics 626
  • Molecular Biology 773
  • Physiology 40
  • Cell Biology 126
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Citations per field
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Citations per year

Countries citing papers authored by David D. Draper

Since Specialization
Citations

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

Fields of papers citing papers by David D. Draper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside David D. Draper, 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 D. Draper Line = papers co-authored together David D. Draper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017162
2 2017133
3 201884
4 201582
5 201880
6 201976
7 201870
8 201669
9 201862
10 201953
11 202050
12 201942
13 202042
14 201940
15 201739
16 201737
17 202134
18 202032
19 202027
20 202226

About David D. Draper

David D. Draper is a scholar working on Genetics, Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine and Genetics, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (14 papers), Genetics and Neurodevelopmental Disorders (5 papers), RNA regulation and disease (5 papers), Biomedical Text Mining and Ontologies (4 papers), RNA Research and Splicing (3 papers), Cellular transport and secretion (3 papers), CRISPR and Genetic Engineering (2 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Aging (43 citations), Genetics (626 citations), Molecular Biology (773 citations), Physiology (40 citations) and Cell Biology (126 citations). David D. Draper has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Elizabeth Lee, Murat Sincan, Zaheer M. Valivullah, William Allen Gahl, Guoyun Yu and David R. Adams. Their work appears in journals such as The American Journal of Human Genetics, Genetics in Medicine, Frontiers in Medicine, Proceedings of the National Academy of Sciences and Brain.

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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