Regina Shaw
Impact in
-
- Poxvirus research and outbreaks
-
- Genomics and Phylogenetic Studies
- Plant and Fungal Species Descriptions
- Viral Infectious Diseases and Gene Expression in Insects
- Insect Resistance and Genetics
Papers in
-
- Genomics and Phylogenetic Studies 2
- Mitochondrial Function and Pathology 1
- Plant and Fungal Species Descriptions 1
- Protein Structure and Dynamics 1
- Insect Resistance and Genetics 1
-
- Plant Virus Research Studies 1
- Co-authors
- William G. Farmerie (3 shared papers)Amit Dhingra (1 shared paper)Michael J. Moore (1 shared paper)Kevin M. Folta (1 shared paper)Pamela S. Soltis (1 shared paper)Gerry Shaw (3 shared papers)Richard W. Moyer (1 shared paper)James Diggans (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)BioTechniques (1 paper)Biochemistry (1 paper)Virology (1 paper)BMC Plant Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Regina Shaw
6 papers receiving 414 citations
Peers
Comparison fields: 5 of 69
- Virology 27
- Molecular Biology 323
- Ecology, Evolution, Behavior and Systematics 79
- Cell Biology 46
- Insect Science 34
Countries citing papers authored by Regina Shaw
This map shows the geographic impact of Regina Shaw'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 Regina Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Regina Shaw more than expected).
Fields of papers citing papers by Regina Shaw
This network shows the impact of papers produced by Regina Shaw. 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 Regina Shaw. The network helps show where Regina Shaw may publish in the future.
Co-authors
The 17 scholars most cited alongside Regina Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 197 | |
| 2 | 2000 | 111 | |
| 3 | 1996 | 48 | |
| 4 | 1995 | 35 | |
| 5 | 1993 | 20 | |
| 6 | 2003 | 12 |
About Regina Shaw
Regina Shaw is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Physiology and Insect Science, having authored 6 papers that have together received 423 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Plant Virus Research Studies (1 paper), Insect and Pesticide Research (1 paper), Mitochondrial Function and Pathology (1 paper), Metalloenzymes and iron-sulfur proteins (1 paper), Plant and Fungal Species Descriptions (1 paper), Protein Structure and Dynamics (1 paper) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Virology (27 citations), Molecular Biology (323 citations), Ecology, Evolution, Behavior and Systematics (79 citations), Cell Biology (46 citations) and Insect Science (34 citations). Regina Shaw has collaborated with scholars based in United States. Frequent co-authors include William G. Farmerie, Amit Dhingra, Michael J. Moore, Kevin M. Folta, Pamela S. Soltis, Gerry Shaw, Richard W. Moyer, James Diggans, Rehae Miller and Mitsuharu Hattori. Their work appears in journals such as Biochemical and Biophysical Research Communications, BioTechniques, Biochemistry, Virology and BMC Plant 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.