Elizabeth E. LeClair
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Aquatic Science top 5%
- Echinoderm biology and ecology
Papers in
- Cell Biology 11
- Zebrafish Biomedical Research Applications 11
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- Antimicrobial Peptides and Activities 7
- Co-authors
- Jacek Topczewski (10 shared papers)Rocky S. Tuan (3 shared papers)Lynne Bingle (5 shared papers)Colin D. Bingle (5 shared papers)Dominique A. Didier (1 shared paper)Kirk M. McHugh (1 shared paper)Wendy Trzyna (1 shared paper)Wayde M. Weston (1 shared paper)
- Journals
- Zebrafish (2 papers)PLoS ONE (2 papers)Genomics (2 papers)Journal of Visualized Experiments (2 papers)Developmental Dynamics (2 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Elizabeth E. LeClair
33 papers receiving 827 citations
Peers
Comparison fields: 5 of 92
- Microbiology 125
- Aquatic Science 62
- Cell Biology 83
- Otorhinolaryngology 33
- Urology 40
Countries citing papers authored by Elizabeth E. LeClair
This map shows the geographic impact of Elizabeth E. LeClair'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 Elizabeth E. LeClair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth E. LeClair more than expected).
Fields of papers citing papers by Elizabeth E. LeClair
This network shows the impact of papers produced by Elizabeth E. LeClair. 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 Elizabeth E. LeClair. The network helps show where Elizabeth E. LeClair may publish in the future.
Co-authors
The 25 scholars most cited alongside Elizabeth E. LeClair, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 106 | |
| 2 | 2004 | 68 | |
| 3 | 2010 | 60 | |
| 4 | 2000 | 56 | |
| 5 | 1998 | 55 | |
| 6 | 2009 | 49 | |
| 7 | 2001 | 45 | |
| 8 | 2001 | 41 | |
| 9 | 2003 | 41 | |
| 10 | 1999 | 38 | |
| 11 | 2003 | 32 | |
| 12 | 2018 | 29 | |
| 13 | 2012 | 28 | |
| 14 | 2012 | 27 | |
| 15 | 1996 | 26 | |
| 16 | 2019 | 23 | |
| 17 | 2004 | 19 | |
| 18 | 2013 | 14 | |
| 19 | 2012 | 13 | |
| 20 | 2020 | 13 |
About Elizabeth E. LeClair
Elizabeth E. LeClair is a scholar working on Cell Biology, Microbiology, Aquatic Science, Molecular Biology and Urology, having authored 34 papers that have together received 853 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (11 papers), Antimicrobial Peptides and Activities (7 papers), Developmental Biology and Gene Regulation (7 papers), Echinoderm biology and ecology (5 papers), Morphological variations and asymmetry (2 papers), Biomedical Text Mining and Ontologies (1 paper), Paleontology and Stratigraphy of Fossils (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Microbiology (125 citations), Aquatic Science (62 citations), Cell Biology (83 citations), Otorhinolaryngology (33 citations) and Urology (40 citations). Elizabeth E. LeClair has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Jacek Topczewski, Rocky S. Tuan, Lynne Bingle, Colin D. Bingle, Dominique A. Didier, Kirk M. McHugh, Wendy Trzyna, Wayde M. Weston, Stephanie R. Mui and Paul Nugent. Their work appears in journals such as Zebrafish, PLoS ONE, Genomics, Journal of Visualized Experiments and Developmental Dynamics.
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.