Daniel A. Grear
Impact in
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology
- Small Animals top 2%
- Animal Behavior and Welfare Studies
Papers in
-
- Animal Disease Management and Epidemiology 22
-
- Viral Infections and Vectors 5
- Co-authors
- Peter J. Hudson (7 shared papers)Ryan S. Miller (9 shared papers)Michael D. Samuel (4 shared papers)Julie Langenberg (2 shared papers)Lien T. Luong (5 shared papers)Colleen T. Webb (9 shared papers)Sarah E. Perkins (2 shared papers)Katie Portacci (7 shared papers)
- Journals
- Journal of Wildlife Diseases (7 papers)Preventive Veterinary Medicine (7 papers)PLoS ONE (4 papers)Scientific Reports (2 papers)Parasitology (2 papers)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Daniel A. Grear
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Agronomy and Crop Science 531
- Small Animals 176
- Infectious Diseases 272
- Ecology 344
- Microbiology 78
Countries citing papers authored by Daniel A. Grear
This map shows the geographic impact of Daniel A. Grear'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 Daniel A. Grear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Grear more than expected).
Fields of papers citing papers by Daniel A. Grear
This network shows the impact of papers produced by Daniel A. Grear. 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 Daniel A. Grear. The network helps show where Daniel A. Grear may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Grear, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 121 | |
| 2 | 2015 | 96 | |
| 3 | 2006 | 90 | |
| 4 | 2009 | 77 | |
| 5 | 2010 | 74 | |
| 6 | 2014 | 60 | |
| 7 | 2019 | 49 | |
| 8 | 2013 | 43 | |
| 9 | 2015 | 42 | |
| 10 | 2016 | 39 | |
| 11 | 2013 | 36 | |
| 12 | 2017 | 34 | |
| 13 | 2013 | 30 | |
| 14 | 2022 | 29 | |
| 15 | 2016 | 26 | |
| 16 | 2014 | 23 | |
| 17 | 2016 | 20 | |
| 18 | 2018 | 20 | |
| 19 | 2015 | 20 | |
| 20 | 2009 | 20 |
About Daniel A. Grear
Daniel A. Grear is a scholar working on Agronomy and Crop Science, Infectious Diseases, Ecology, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (22 papers), Amphibian and Reptile Biology (8 papers), Parasite Biology and Host Interactions (7 papers), Influenza Virus Research Studies (6 papers), Zoonotic diseases and public health (5 papers), Prion Diseases and Protein Misfolding (5 papers), Viral Infections and Vectors (5 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Agronomy and Crop Science (531 citations), Small Animals (176 citations), Infectious Diseases (272 citations), Ecology (344 citations) and Microbiology (78 citations). Daniel A. Grear has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Peter J. Hudson, Ryan S. Miller, Michael D. Samuel, Julie Langenberg, Lien T. Luong, Colleen T. Webb, Sarah E. Perkins, Katie Portacci, Delwyn P. Keane and Michael Buhnerkempe. Their work appears in journals such as Journal of Wildlife Diseases, Preventive Veterinary Medicine, PLoS ONE, Scientific Reports and Parasitology.
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.