David W. Dyer

5.7k citations
110 papers · 4.5k indexed · h-index 40

Impact in

  • Microbiology top 0.2%
    • Bacterial Infections and Vaccines
  • Periodontics top 0.5%
    • Oral microbiology and periodontitis research

Papers in

David W. Dyer

110 papers receiving 4.4k citations

Peers

David W. Dyer
Comparison fields: 5 of 125
  • Microbiology 1.1k
  • Periodontics 466
  • Genetics 1.7k
  • Endocrinology 286
  • Infectious Diseases 959
Replace Daniel Nelson with:
Daniel Nelson United States
Jean‐Pierre Claverys France
Gursharan S. Chhatwal Germany
Gunnar Lindahl Sweden
Emiko Isogai Japan
Paul J. Planet United States
Vijay Pancholi United States
Leslie D. Cope United States
Anthony B. Schryvers Canada
Charles W. Penn United Kingdom
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Citations per field
00.5×3.8×
Daniel Nelson · 1×
Citations per year

Countries citing papers authored by David W. Dyer

Since Specialization
Citations

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

Fields of papers citing papers by David W. Dyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202227
2 20228
3 202116
4
OCT4 and YY1 transcription factors regulate gene expression of an adenoviral ocular pathogen
20211
5 201712
6 201712
7 20177
8 201524
9
Proteotyping as a tool to study the evolution of human adenoviruses associated with epidemic keratoconjunctivitis
20151
10 201322
11 201360
12 201246
13 201216
14 20125
15 2010123
16 199631
17 199532
18 199420
19 199218
20 199092

About David W. Dyer

David W. Dyer is a scholar working on Microbiology, Periodontics, Genetics, Endocrinology and Infectious Diseases, having authored 110 papers that have together received 4.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (29 papers), Bacterial Infections and Vaccines (19 papers), Bacterial Genetics and Biotechnology (16 papers), Genomics and Phylogenetic Studies (14 papers), Viral gastroenteritis research and epidemiology (14 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers), Herpesvirus Infections and Treatments (12 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Microbiology (1.1k citations), Periodontics (466 citations), Genetics (1.7k citations), Endocrinology (286 citations) and Infectious Diseases (959 citations). David W. Dyer has collaborated with scholars based in United States, Canada and China. Frequent co-authors include P. Frederick Sparling, James Chodosh, Donald Seto, Lisa A. Lewis, Morris S. Jones, Christopher M. Robinson, Bruce A. Roe, Shoaleh Dehghan, J J Iandolo and Jaya Rajaiya. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Journal of Virology, BMC Genomics and Investigative Ophthalmology & Visual Science.

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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