Ayellet V. Segrè
- Cancer Research top 2%
- Genetics top 2%
- Genetic Associations and Epidemiology 8
- Genetic Mapping and Diversity in Plants and Animals 3
- Genomics and Rare Diseases 2
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 5
- Aging top 10%
- Ophthalmology top 5%
- Glaucoma and retinal disorders 14
- Retinal Diseases and Treatments 9
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- Retinal Imaging and Analysis 7
- Corneal surgery and disorders 3
- Co-authors
- David AltshulerEleazar EskinFarhad HormozdiariMartijn van de BuntMark J. DalyGeorge Q. DaleyMichael G. KharasAyumu Takeuchi
- Journals
- Investigative Ophthalmology & Visual Science (5 papers)Nature Genetics (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ayellet V. Segrè
30 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cancer Research 722
- Genetics 839
- Molecular Biology 1.6k
- Aging 34
- Ophthalmology 118
Countries citing papers authored by Ayellet V. Segrè
This map shows the geographic impact of Ayellet V. Segrè'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 Ayellet V. Segrè with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayellet V. Segrè more than expected).
Fields of papers citing papers by Ayellet V. Segrè
This network shows the impact of papers produced by Ayellet V. Segrè. 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 Ayellet V. Segrè. The network helps show where Ayellet V. Segrè may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ayellet V. Segrè, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 18 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 41 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 4 | |
| 14 | Automated detection of genetic relatedness from fundus photographs using Convolutional Siamese Neural Networks | 2021 | 1 |
| 15 | RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissuesbreakdown → | 2019 | 310 |
| 16 | 2018 | 242 | |
| 17 | 2017 | 150 | |
| 18 | 2017 | 47 | |
| 19 | The Lin28/let-7 Axis Regulates Glucose Metabolismbreakdown → | 2011 | 724 |
| 20 | 2010 | 253 |
About Ayellet V. Segrè
Ayellet V. Segrè is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (14 papers), Retinal Diseases and Treatments (9 papers), Genetic Associations and Epidemiology (8 papers), Retinal Imaging and Analysis (7 papers), Bioinformatics and Genomic Networks (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Corneal surgery and disorders (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Cancer Research (722 citations), Genetics (839 citations) and Molecular Biology (1.6k citations). Ayellet V. Segrè has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David Altshuler, Eleazar Eskin, Farhad Hormozdiari, Martijn van de Bunt, Mark J. Daly, George Q. Daley, Michael G. Kharas, Ayumu Takeuchi, Achia Urbach and Robinson Triboulet. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Nature Genetics, PLoS Genetics, The American Journal of Human Genetics and Ophthalmology.
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.