Anthony E. Ambrosini
Impact in
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- Telomeres, Telomerase, and Senescence
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- Genomic variations and chromosomal abnormalities
Papers in
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- Genomics and Chromatin Dynamics 1
- Genomics and Phylogenetic Studies 1
- Machine Learning in Bioinformatics 1
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- Herpesvirus Infections and Treatments 3
- Cytomegalovirus and herpesvirus research 2
- Co-authors
- Harold Riethman (5 shared papers)Lynn W. Enquist (3 shared papers)Ileana M. Cristea (1 shared paper)Tal Kramer (1 shared paper)Sufen Hu (2 shared papers)Todd M. Greco (1 shared paper)Matthew P. Taylor (1 shared paper)Carlos A. Castañeda (2 shared papers)
- Journals
- Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Cell Host & Microbe (1 paper)Genome biology (1 paper)PLoS Pathogens (1 paper)Chromosome Research (1 paper)
- Partner nations
- United States
In The Last Decade
Anthony E. Ambrosini
8 papers receiving 340 citations
Peers
Comparison fields: 5 of 49
- Physiology 92
- Genetics 94
- Aging 6
- Plant Science 116
- Epidemiology 86
Countries citing papers authored by Anthony E. Ambrosini
This map shows the geographic impact of Anthony E. Ambrosini'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 Anthony E. Ambrosini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony E. Ambrosini more than expected).
Fields of papers citing papers by Anthony E. Ambrosini
This network shows the impact of papers produced by Anthony E. Ambrosini. 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 Anthony E. Ambrosini. The network helps show where Anthony E. Ambrosini may publish in the future.
Co-authors
The 21 scholars most cited alongside Anthony E. Ambrosini, 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 | 2005 | 88 | |
| 2 | 2004 | 88 | |
| 3 | 2012 | 83 | |
| 4 | 2007 | 42 | |
| 5 | 2008 | 32 | |
| 6 | 2015 | 12 | |
| 7 | 2003 | 4 | |
| 8 | 2024 | 3 |
About Anthony E. Ambrosini
Anthony E. Ambrosini is a scholar working on Molecular Biology, Epidemiology, Genetics, Plant Science and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (3 papers), Chromosomal and Genetic Variations (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Mosquito-borne diseases and control (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Genomics and Chromatin Dynamics (1 paper), Genomics and Phylogenetic Studies (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Physiology (92 citations), Genetics (94 citations), Aging (6 citations), Plant Science (116 citations) and Epidemiology (86 citations). Anthony E. Ambrosini has collaborated with scholars based in United States. Frequent co-authors include Harold Riethman, Lynn W. Enquist, Ileana M. Cristea, Tal Kramer, Sufen Hu, Todd M. Greco, Matthew P. Taylor, Carlos A. Castañeda, Jeffrey Finklestein and Uma Mudunuri. Their work appears in journals such as Cold Spring Harbor Symposia on Quantitative Biology, Cell Host & Microbe, Genome biology, PLoS Pathogens and Chromosome Research.
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.