D. Beard

18 papers receiving 215 citations

Peers

D. Beard
Comparison fields: 5 of 59
  • Animal Science and Zoology 102
  • Virology 16
  • Genetics 92
  • Agronomy and Crop Science 27
  • Infectious Diseases 41
Replace I. Furminger with:
I. Furminger United Kingdom
Alvin S. Levine United States
Lois Ann Salzman United States
B Rada Slovakia
H van der Gulden Netherlands
Firelli V. Alonso-Caplen United States
Kathryn L. Deshpande United States
Marilyn M. Thorén United States
J Ríman Czechia
K. Wetz Germany
D. Beard relative to I. Furminger United Kingdom I. Furminger's profile →
Citations per field
00.5×1.5×2.3×
I. Furminger · 1×
Citations per year

Countries citing papers authored by D. Beard

Since Specialization
Citations

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

Fields of papers citing papers by D. Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside D. Beard, 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 D. Beard Line = papers co-authored together D. Beard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 197956
2 196038
3
Response of bone marrow to MC29 avian leukosis virus in vitro.
196932
4 195225
5 196218
6 197817
7 195715
8
Virus of avian myeloblastosis. XVII. Morphology of progressive virus-myeloblast interactions in vitro.
196011
9
Isolation of a non-focus-forming agent from strain MC29 avian leukosis virus.
197111
10 196610
11 195310
12 19689
13 19548
14 19567
15
Transmission of avian myeloblastosis by BAI strain A virus ribonucleic acid.
19715
16
Singularity of oncogenic activity of strain MC29 avian leukosis viruses.
19704
17 19662
18 20151
19 19940
20 20150

About D. Beard

D. Beard is a scholar working on Animal Science and Zoology, Epidemiology, Molecular Biology, Genetics and Infectious Diseases, having authored 20 papers that have together received 279 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (11 papers), Herpesvirus Infections and Treatments (6 papers), Virus-based gene therapy research (5 papers), Animal Disease Management and Epidemiology (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Viral Infections and Immunology Research (3 papers), RNA and protein synthesis mechanisms (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Animal Science and Zoology (102 citations), Virology (16 citations), Genetics (92 citations), Agronomy and Crop Science (27 citations) and Infectious Diseases (41 citations). D. Beard has collaborated with scholars based in United States. Frequent co-authors include J. W. Beard, G. E. Houts, Christine Ellis, M. Miyagi, R. A. Bonar, A J Langlois, G.S. Beaudreau, Robert B. Fritz, D. G. Sharp and Dani P. Bolognesi. Their work appears in journals such as Experimental Biology and Medicine, JNCI Journal of the National Cancer Institute, Journal of Virology, The Journal of Cell Biology and Journal of Pharmacology and Experimental Therapeutics.

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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