Eric S. LaHood
Impact in
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- Fish Ecology and Management Studies
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
Papers in
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- Fish Ecology and Management Studies 6
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- Identification and Quantification in Food 4
- Co-authors
- Michael J. Ford (4 shared papers)Jason J. Miller (3 shared papers)Jeffrey J. Hard (2 shared papers)Harriet R. Huber (1 shared paper)Linda Park (1 shared paper)Greg Mackey (1 shared paper)Maureen K. Purcell (1 shared paper)David J. Teel (1 shared paper)
- Journals
- Canadian Journal of Fisheries and Aquatic Sciences (3 papers)Ecology Of Freshwater Fish (1 paper)PLoS ONE (1 paper)Transactions of the American Fisheries Society (1 paper)Conservation Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Eric S. LaHood
9 papers receiving 319 citations
Peers
Comparison fields: 5 of 40
- Nature and Landscape Conservation 234
- Physiology 51
- Genetics 172
- Aquatic Science 41
- Ecology 138
Countries citing papers authored by Eric S. LaHood
This map shows the geographic impact of Eric S. LaHood'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 Eric S. LaHood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. LaHood more than expected).
Fields of papers citing papers by Eric S. LaHood
This network shows the impact of papers produced by Eric S. LaHood. 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 Eric S. LaHood. The network helps show where Eric S. LaHood may publish in the future.
Co-authors
The 24 scholars most cited alongside Eric S. LaHood, 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 | 56 | |
| 2 | Molecular methods for the genetic identification of salmonid prey from Pacific harbor seal (Phoca vitulina richardsi ) scat | 2004 | 53 |
| 3 | 2001 | 42 | |
| 4 | 2006 | 41 | |
| 5 | 2016 | 39 | |
| 6 | 2008 | 33 | |
| 7 | 2002 | 30 | |
| 8 | 2005 | 28 | |
| 9 | 2008 | 22 |
About Eric S. LaHood
Eric S. LaHood is a scholar working on Nature and Landscape Conservation, Molecular Biology, Genetics, Ecology and Physiology, having authored 9 papers that have together received 344 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (6 papers), Identification and Quantification in Food (4 papers), Reproductive biology and impacts on aquatic species (3 papers), Fish Biology and Ecology Studies (2 papers), Marine and fisheries research (2 papers), Genetic and phenotypic traits in livestock (2 papers), Environmental DNA in Biodiversity Studies (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Nature and Landscape Conservation (234 citations), Physiology (51 citations), Genetics (172 citations), Aquatic Science (41 citations) and Ecology (138 citations). Eric S. LaHood has collaborated with scholars based in United States. Frequent co-authors include Michael J. Ford, Jason J. Miller, Jeffrey J. Hard, Harriet R. Huber, Linda Park, Greg Mackey, Maureen K. Purcell, David J. Teel, Paul Moran and Steven T. Kalinowski. Their work appears in journals such as Canadian Journal of Fisheries and Aquatic Sciences, Ecology Of Freshwater Fish, PLoS ONE, Transactions of the American Fisheries Society and Conservation 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.