Anthea Letsou
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Developmental Biology and Gene Regulation
- CRISPR and Genetic Engineering
- TGF-β signaling in diseases
- DNA Repair Mechanisms
Papers in ⓘ
- Aging 1
-
- Developmental Biology and Gene Regulation 11
- RNA Research and Splicing 5
- CRISPR and Genetic Engineering 5
- TGF-β signaling in diseases 3
- RNA Interference and Gene Delivery 3
- Co-authors
- R. Michael Liskay (4 shared papers)Janet L. Stachelek (3 shared papers)Michael B. O’Connor (2 shared papers)Kavita Arora (2 shared papers)Karl Simin (4 shared papers)Steven A. Wasserman (2 shared papers)Suceena Alexander (2 shared papers)Xinghai Li (1 shared paper)
- Journals
- Genetics (4 papers)Developmental Dynamics (4 papers)Disease Models & Mechanisms (3 papers)Developmental Biology (3 papers)Cell (2 papers)
- Partner nations
- United StatesBelgiumPoland
In The Last Decade
Anthea Letsou
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Aging 42
- Molecular Biology 1.2k
- Cell Biology 243
- Immunology 218
- Cellular and Molecular Neuroscience 170
Countries citing papers authored by Anthea Letsou
This map shows the geographic impact of Anthea Letsou'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 Anthea Letsou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthea Letsou more than expected).
Fields of papers citing papers by Anthea Letsou
This network shows the impact of papers produced by Anthea Letsou. 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 Anthea Letsou. The network helps show where Anthea Letsou may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthea Letsou, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 241 | |
| 2 | 1995 | 188 | |
| 3 | 1987 | 174 | |
| 4 | 2002 | 118 | |
| 5 | 1984 | 100 | |
| 6 | 1991 | 95 | |
| 7 | 1983 | 73 | |
| 8 | 1984 | 42 | |
| 9 | 1987 | 42 | |
| 10 | 1998 | 41 | |
| 11 | 1993 | 41 | |
| 12 | 2005 | 40 | |
| 13 | 2001 | 33 | |
| 14 | 1999 | 33 | |
| 15 | 1998 | 32 | |
| 16 | 2007 | 26 | |
| 17 | 2014 | 26 | |
| 18 | 2016 | 24 | |
| 19 | 2017 | 21 | |
| 20 | 2008 | 18 |
About Anthea Letsou
Anthea Letsou is a scholar working on Aging, Molecular Biology, Clinical Biochemistry, Cellular and Molecular Neuroscience and Genetics, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (11 papers), RNA Research and Splicing (5 papers), CRISPR and Genetic Engineering (5 papers), TGF-β signaling in diseases (3 papers), Animal Genetics and Reproduction (3 papers), RNA Interference and Gene Delivery (3 papers), Invertebrate Immune Response Mechanisms (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Aging (42 citations), Molecular Biology (1.2k citations), Cell Biology (243 citations), Immunology (218 citations) and Cellular and Molecular Neuroscience (170 citations). Anthea Letsou has collaborated with scholars based in United States, Belgium and Poland. Frequent co-authors include R. Michael Liskay, Janet L. Stachelek, Michael B. O’Connor, Kavita Arora, Karl Simin, Steven A. Wasserman, Suceena Alexander, Xinghai Li, David M. Virshup and Heng Dai. Their work appears in journals such as Genetics, Developmental Dynamics, Disease Models & Mechanisms, Developmental Biology and Cell.
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.