Clayton W. Beard
- Molecular Biology top 10%
- Genetics top 5%
- Immunology top 10%
- Infectious Diseases top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Peter W. MasonAndrew J. GeallArmin HekeleSusan W. BarnettJeffrey B. UlmerKatherine R. SpindlerChristine A. ShawGillis R. Otten
- Topics
- Virus-based gene therapy research (8 papers)Viral Infectious Diseases and Gene Expression in Insects (7 papers)RNA and protein synthesis mechanisms (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNature BiotechnologyJournal of Molecular Biology
- Partner nations
- United StatesMalaysiaChile
In The Last Decade
Clayton W. Beard
28 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Molecular Biology 911
- Genetics 389
- Immunology 359
- Infectious Diseases 339
- Cardiology and Cardiovascular Medicine 322
Countries citing papers authored by Clayton W. Beard
This map shows the geographic impact of Clayton 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 Clayton 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 Clayton W. Beard more than expected).
Fields of papers citing papers by Clayton W. Beard
This network shows the impact of papers produced by Clayton 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 Clayton W. Beard. The network helps show where Clayton W. Beard may publish in the future.
Co-authorship network of co-authors of Clayton W. Beard
This figure shows the co-authorship network connecting the top 25 collaborators of Clayton W. Beard. A scholar is included among the top collaborators of Clayton W. Beard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clayton W. Beard. Clayton W. Beard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 23 | |
| 4 | Intravenous AAV5 Gene Therapy with Human CYP21A1 Corrects Phenotypic Deficiencies of the 21-Hydroxylase Kockout Mouse Model and Demonstrates Durability and Safety in Non-Human Primates and Mice | 0 |
| 5 | 6 | |
| 6 | 51 | |
| 7 | 223 | |
| 8 | 37 | |
| 9 | 68 | |
| 10 | 10 | |
| 11 | 23 | |
| 12 | 19 | |
| 13 | 61 | |
| 14 | 27 | |
| 15 | 30 | |
| 16 | 28 | |
| 17 | 12 | |
| 18 | 27 | |
| 19 | 30 | |
| 20 | 30 |
About Clayton W. Beard
Clayton W. Beard is a scholar working on Agronomy and Crop Science, Virology and Genetics, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Agronomy and Crop Science (274 citations), Infectious Diseases (339 citations) and Immunology (359 citations). Clayton W. Beard has collaborated with scholars based in United States, Malaysia and Chile. Frequent co-authors include Peter W. Mason, Andrew J. Geall, Armin Hekele, Susan W. Barnett, Jeffrey B. Ulmer, Katherine R. Spindler, Christine A. Shaw, Gillis R. Otten, Rino Rappuoli and Derek T. O’Hagan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Journal of Molecular Biology.
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.