David E. Breiding

771 citations
13 papers · 652 · h-index 11

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research
    • Viral-associated cancers and disorders

Papers in

    • RNA Research and Splicing 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • RNA modifications and cancer 2
    • Virus-based gene therapy research 7

David E. Breiding

13 papers receiving 637 citations

Peers

David E. Breiding
Comparison fields: 5 of 55
  • Genetics 288
  • Oncology 213
  • Immunology 154
  • Epidemiology 228
  • Molecular Biology 362
Replace Tutik Ristriani with:
Tutik Ristriani France
S Palmieri United States
Nicole I. Orazio United States
J. S. Rhim United States
C F Barth United States
Kathy Shire Canada
C. Schatz France
Germán Rosas-Acosta United States
Josephine N. Harada United States
Shu‐Ru Kuo United States
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Citations per field
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Citations per year

Countries citing papers authored by David E. Breiding

Since Specialization
Citations

This map shows the geographic impact of David E. Breiding'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. Breiding 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. Breiding more than expected).

Fields of papers citing papers by David E. Breiding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside David E. Breiding, 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. Breiding Line = papers co-authored together David E. Breiding links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 199896
2 198596
3 199082
4 199774
5 200068
6 199853
7 200150
8 199638
9 199638
10 198827
11 198820
12 19999
13 19901

About David E. Breiding

David E. Breiding is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Agronomy and Crop Science, having authored 13 papers that have together received 652 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), T-cell and Retrovirus Studies (5 papers), RNA Research and Splicing (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Animal Disease Management and Epidemiology (2 papers), Cancer-related Molecular Pathways (2 papers), Algal biology and biofuel production (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Genetics (288 citations), Oncology (213 citations), Immunology (154 citations), Epidemiology (228 citations) and Molecular Biology (362 citations). David E. Breiding has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Elliot J. Androphy, Francis M. Sverdrup, Martha J. Grossel, James O. Berry, Daniel F. Klessig, Jim Williams, Edward C. Goodwin, Lisa K. Naeger, Daniel DiMaio and N Moscufo. Their work appears in journals such as Journal of Virology, Virology, Molecular and Cellular Biology, The Plant Cell and Virus 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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