J. W. Beard

108 papers receiving 1.6k citations

Peers

J. W. Beard
Comparison fields: 5 of 102
  • Animal Science and Zoology 768
  • Genetics 673
  • Infectious Diseases 320
  • Epidemiology 503
  • Virology 71
Replace Robert M. Dougherty with:
Robert M. Dougherty United States
Kendall O. Smith United States
Morio Homma Japan
Erwin Fleissner United States
Richard A. Consigli United States
Albert S. Kaplan United States
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Citations per field
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Citations per year

Countries citing papers authored by J. W. Beard

Since Specialization
Citations

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

Fields of papers citing papers by J. W. Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1963115
2
Ribonucleic acid components of BAI strain A (myeloblastosis) avian tumor virus.
196782
3 196770
4 195968
5 197961
6 195758
7 195249
8 197048
9
Isolation of a transplantable cell line induced by the MC29 avian leukosis virus.
197448
10 195247
11 196446
12
Mesotheliomas of peritoneum, epicardium, and pericardium induced by strain MC29 avian leukosis virus.
197046
13 196745
14 197144
15 196042
16 196339
17
Response of bone marrow to MC29 avian leukosis virus in vitro.
196936
18 195535
19 195534
20
Ultrastructural alterations in avian leukemia myeloblasts exposed to actinomycin D in vitro.
196633

About J. W. Beard

J. W. Beard is a scholar working on Animal Science and Zoology, Epidemiology, Genetics, Molecular Biology and Infectious Diseases, having authored 111 papers that have together received 2.1k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (49 papers), Virus-based gene therapy research (25 papers), Herpesvirus Infections and Treatments (20 papers), Viral Infections and Vectors (16 papers), T-cell and Retrovirus Studies (13 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), RNA and protein synthesis mechanisms (7 papers) and Viral Infections and Immunology Research (6 papers). The work is most often cited by research in Animal Science and Zoology (768 citations), Genetics (673 citations), Infectious Diseases (320 citations), Epidemiology (503 citations) and Virology (71 citations). J. W. Beard has collaborated with scholars based in United States, France and Hungary. Frequent co-authors include Dorothy Beard, R. A. Bonar, A J Langlois, D. G. Sharp, Edward A. Eckert, Ursula Heine, D. Beard, Guy de Thé, G.S. Beaudreau and R Ishizaki. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Experimental Biology and Medicine, Journal of Virology, The Journal of Immunology and Annals of the New York Academy of Sciences.

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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