J. W. Beard

107 papers receiving 1.5k citations

Peers

J. W. Beard
Comparison fields: 5 of 100
  • Animal Science and Zoology 739
  • Genetics 606
  • Infectious Diseases 305
  • Virology 67
  • Agronomy and Crop Science 143
Replace Morio Homma with:
Morio Homma Japan
Robert M. Dougherty United States
Margaret J. Sekellick United States
Derek Watson United Kingdom
Erwin Fleissner United States
Richard A. Consigli United States
Charles C. Randall United States
Harold S. Ginsberg United States
B. Cartwright United Kingdom
A. A. Tytell United States
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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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1963104
2
Ribonucleic acid components of BAI strain A (myeloblastosis) avian tumor virus.
196775
3 196768
4 195962
5 197956
6 195752
7
Isolation of a transplantable cell line induced by the MC29 avian leukosis virus.
197448
8 196743
9
Mesotheliomas of peritoneum, epicardium, and pericardium induced by strain MC29 avian leukosis virus.
197043
10 196441
11 195241
12 197040
13 197140
14 195240
15 196038
16 196337
17 195532
18
Response of bone marrow to MC29 avian leukosis virus in vitro.
196932
19
Ultrastructural alterations in avian leukemia myeloblasts exposed to actinomycin D in vitro.
196631
20 195130

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 109 papers that have together received 1.9k 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 (739 citations), Genetics (606 citations), Infectious Diseases (305 citations), Virology (67 citations) and Agronomy and Crop Science (143 citations). J. W. Beard has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Dorothy Beard, R. A. Bonar, A J Langlois, D. G. Sharp, Edward A. Eckert, Ursula Heine, D. Beard, G.S. Beaudreau, Guy de Thé 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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