Peter E. Phelan
Impact in
- Immunology top 5%
- Aquaculture disease management and microbiota
- interferon and immune responses
- Immune Response and Inflammation
- Invertebrate Immune Response Mechanisms
- Immune Cell Function and Interaction
- Immune cells in cancer
- Cancer Research top 10%
Papers in
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- interferon and immune responses 3
- Aquaculture disease management and microbiota 3
- Immune Response and Inflammation 2
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- Viral Infections and Vectors 3
- Viral Infections and Outbreaks Research 2
- Co-authors
- Mark T. Mellon (3 shared papers)Carol H. Kim (3 shared papers)P. Eckhard Witten (2 shared papers)Timothy F. Osborne (7 shared papers)S Blake (1 shared paper)Ryan M. Esquejo (3 shared papers)Manuel Roqueta‐Rivera (3 shared papers)Xianlin Han (1 shared paper)
- Journals
- Cell Metabolism (2 papers)Molecular Metabolism (1 paper)PLoS Biology (1 paper)Cell chemical biology (1 paper)Molecular Immunology (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Peter E. Phelan
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Immunology 688
- Cancer Research 174
- Endocrinology 51
- Cell Biology 157
- Geriatrics and Gerontology 28
Countries citing papers authored by Peter E. Phelan
This map shows the geographic impact of Peter E. Phelan'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 Peter E. Phelan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter E. Phelan more than expected).
Fields of papers citing papers by Peter E. Phelan
This network shows the impact of papers produced by Peter E. Phelan. 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 Peter E. Phelan. The network helps show where Peter E. Phelan may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter E. Phelan, 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 | 2004 | 251 | |
| 2 | 2011 | 246 | |
| 3 | 2005 | 211 | |
| 4 | 2005 | 130 | |
| 5 | 2013 | 107 | |
| 6 | 2018 | 101 | |
| 7 | 2016 | 50 | |
| 8 | 2017 | 43 | |
| 9 | 2017 | 30 | |
| 10 | 2018 | 27 | |
| 11 | 2020 | 23 | |
| 12 | 2022 | 10 |
About Peter E. Phelan
Peter E. Phelan is a scholar working on Immunology, Infectious Diseases, Surgery, Cell Biology and Biochemistry, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), interferon and immune responses (3 papers), Viral Infections and Vectors (3 papers), Aquaculture disease management and microbiota (3 papers), Viral Infections and Outbreaks Research (2 papers), Mosquito-borne diseases and control (2 papers), Immune Response and Inflammation (2 papers) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Immunology (688 citations), Cancer Research (174 citations), Endocrinology (51 citations), Cell Biology (157 citations) and Geriatrics and Gerontology (28 citations). Peter E. Phelan has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Mark T. Mellon, Carol H. Kim, P. Eckhard Witten, Timothy F. Osborne, S Blake, Ryan M. Esquejo, Manuel Roqueta‐Rivera, Xianlin Han, Minsang Shin and Seung‐Soon Im. Their work appears in journals such as Cell Metabolism, Molecular Metabolism, PLoS Biology, Cell chemical biology and Molecular Immunology.
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.