Lee Anne Beausang
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology 1
- Small Animals top 5%
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- Aquaculture disease management and microbiota 2
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- Stress Responses and Cortisol 2
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- Nuclear Structure and Function 2
- Cell death mechanisms and regulation 1
- Glycosylation and Glycoproteins Research 1
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- Monoclonal and Polyclonal Antibodies Research 2
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- Advanced Proteomics Techniques and Applications 1
- Co-authors
- M. E. ZannelliJ. A. CarrollRobert L. MatteriCheryl J. DyerGraham P. LidgardG L AlleeK. J. TouchetteThomas E. Miller
- Journals
- SHILAP Revista de lepidopterología (1 paper)Analytical Biochemistry (1 paper)Journal of Animal Science (2 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Lee Anne Beausang
9 papers receiving 315 citations
Peers
Comparison fields: 5 of 72
- Animal Science and Zoology 135
- Small Animals 58
- Endocrine and Autonomic Systems 25
- Immunology 54
- Agronomy and Crop Science 24
Countries citing papers authored by Lee Anne Beausang
This map shows the geographic impact of Lee Anne Beausang'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 Lee Anne Beausang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Anne Beausang more than expected).
Fields of papers citing papers by Lee Anne Beausang
This network shows the impact of papers produced by Lee Anne Beausang. 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 Lee Anne Beausang. The network helps show where Lee Anne Beausang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lee Anne Beausang, 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 | 2021 | 2 | |
| 2 | 2014 | 18 | |
| 3 | 2013 | 1 | |
| 4 | 2002 | 22 | |
| 5 | 2002 | 153 | |
| 6 | 2001 | 25 | |
| 7 | 1998 | 23 | |
| 8 | Death-induced changes to the nuclear matrix: the use of anti-nuclear matrix antibodies to study agents of apoptosis. | 1993 | 41 |
| 9 | Detection of nuclear matrix proteins in serum from cancer patients. | 1992 | 54 |
About Lee Anne Beausang
Lee Anne Beausang is a scholar working on Behavioral Neuroscience, Microbiology and Developmental Neuroscience, having authored 9 papers that have together received 339 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (2 papers), Nuclear Structure and Function (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Aquaculture disease management and microbiota (2 papers), Animal Nutrition and Physiology (1 paper), Cell death mechanisms and regulation (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Animal Science and Zoology (135 citations), Small Animals (58 citations) and Endocrine and Autonomic Systems (25 citations). Lee Anne Beausang has collaborated with scholars based in United States and France. Frequent co-authors include M. E. Zannelli, J. A. Carroll, Robert L. Matteri, Cheryl J. Dyer, Graham P. Lidgard, G L Allee, K. J. Touchette, Thomas E. Miller, Marc D. Meneghini and Talia Miller. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Journal of Animal Science.
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.