Amy Long
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
-
- Aquaculture disease management and microbiota
Papers in
- Immunology 12
- Aquaculture disease management and microbiota 12
- Ecology 11
- Bacteriophages and microbial interactions 4
- Parasite Biology and Host Interactions 4
- Microbial Community Ecology and Physiology 3
- Co-authors
- Simon R. M. Jones (8 shared papers)Douglas R. Call (5 shared papers)Kenneth D. Cain (5 shared papers)John H. Paul (3 shared papers)Kyle A. Garver (5 shared papers)Lauren D. McDaniel (2 shared papers)Jennifer M. Mobberley (2 shared papers)Forest Rohwer (2 shared papers)
- Journals
- Journal of Fish Diseases (4 papers)Diseases of Aquatic Organisms (4 papers)Journal of Aquatic Animal Health (2 papers)PLoS ONE (2 papers)Harmful Algae (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Amy Long
22 papers receiving 298 citations
Peers
Comparison fields: 5 of 49
- Endocrinology 61
- Immunology 161
- Microbiology 42
- Ecology 156
- Cancer Research 44
Countries citing papers authored by Amy Long
This map shows the geographic impact of Amy Long'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 Amy Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Long more than expected).
Fields of papers citing papers by Amy Long
This network shows the impact of papers produced by Amy Long. 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 Amy Long. The network helps show where Amy Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Long, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 47 | |
| 2 | 2005 | 28 | |
| 3 | 2013 | 27 | |
| 4 | 2007 | 26 | |
| 5 | 2014 | 23 | |
| 6 | 2016 | 22 | |
| 7 | 2006 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 2014 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2020 | 8 | |
| 14 | 2007 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2012 | 5 | |
| 19 | 2024 | 1 | |
| 20 | 2015 | 1 |
About Amy Long
Amy Long is a scholar working on Immunology, Ecology, Microbiology, Endocrinology and Cancer Research, having authored 24 papers that have together received 306 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (12 papers), Microbial infections and disease research (8 papers), Myxozoan Parasites in Aquatic Species (5 papers), Vibrio bacteria research studies (5 papers), Bacteriophages and microbial interactions (4 papers), Parasite Biology and Host Interactions (4 papers), Genomics and Phylogenetic Studies (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Endocrinology (61 citations), Immunology (161 citations), Microbiology (42 citations), Ecology (156 citations) and Cancer Research (44 citations). Amy Long has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Simon R. M. Jones, Douglas R. Call, Kenneth D. Cain, John H. Paul, Kyle A. Garver, Lauren D. McDaniel, Jennifer M. Mobberley, Forest Rohwer, Benjamin R. LaFrentz and Mya Breitbart. Their work appears in journals such as Journal of Fish Diseases, Diseases of Aquatic Organisms, Journal of Aquatic Animal Health, PLoS ONE and Harmful Algae.
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.