R. W. Sidwell
- Epidemiology top 5%
- Infectious Diseases top 5%
- Molecular Biology
- Immunology top 10%
- Genetics top 10%
- Co-authors
- John D. MorreyJohn H. HuffmanDonald F. SmeeS. Hossein FatemiKevin W. BaileyJan R. MeadDavid A. KistBill B. Barnett
- Topics
- Viral Infections and Vectors (12 papers)Cytomegalovirus and herpesvirus research (11 papers)Virus-based gene therapy research (10 papers)
- Journals
- Journal of VirologyAnnals of the New York Academy of SciencesThe Journal of Infectious Diseases
- Partner nations
- United StatesCzechiaJapan
In The Last Decade
R. W. Sidwell
79 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 118
- Epidemiology 746
- Infectious Diseases 544
- Molecular Biology 441
- Immunology 372
- Genetics 207
Countries citing papers authored by R. W. Sidwell
This map shows the geographic impact of R. W. Sidwell'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 R. W. Sidwell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. W. Sidwell more than expected).
Fields of papers citing papers by R. W. Sidwell
This network shows the impact of papers produced by R. W. Sidwell. 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 R. W. Sidwell. The network helps show where R. W. Sidwell may publish in the future.
Co-authorship network of co-authors of R. W. Sidwell
This figure shows the co-authorship network connecting the top 25 collaborators of R. W. Sidwell. A scholar is included among the top collaborators of R. W. Sidwell 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 R. W. Sidwell. R. W. Sidwell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 62 | |
| 2 | 121 | |
| 3 | 18 | |
| 4 | 97 | |
| 5 | 54 | |
| 6 | 190 | |
| 7 | 22 | |
| 8 | 66 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 49 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 122 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 17 | |
| 20 | STUDIES ON INFECTIOUS DISEASES IN WILD ANIMALS IN UTAH. V. EXPERIMENTAL ROCKY MOUNTAIN SPOTTED FEVER IN THE COYOTE, CANIS LATRANS LESTES MERRIAM. | 2 |
About R. W. Sidwell
R. W. Sidwell is a scholar working on Infectious Diseases, Virology and Epidemiology, having authored 80 papers that have together received 2.1k indexed citations. Recurring topics across this work include Viral Infections and Vectors (12 papers), Cytomegalovirus and herpesvirus research (11 papers) and Virus-based gene therapy research (10 papers). The work is most often cited by research in Biological Psychiatry (188 citations), Virology (171 citations) and Infectious Diseases (544 citations). R. W. Sidwell has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include John D. Morrey, John H. Huffman, Donald F. Smee, S. Hossein Fatemi, Kevin W. Bailey, Jan R. Mead, David A. Kist, Bill B. Barnett, Mark C. Healey and Michael J. Arrowood. Their work appears in journals such as Journal of Virology, Annals of the New York Academy of Sciences and The Journal of Infectious Diseases.
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.