Emily D. Egan
Impact in
- Aging top 10%
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
- Developmental Biology and Gene Regulation 2
- Advanced biosensing and bioanalysis techniques 1
-
- Telomeres, Telomerase, and Senescence 3
- Co-authors
- Kathleen Collins (3 shared papers)Karen Adelman (2 shared papers)Craig R. Braun (1 shared paper)Steven P. Gygi (1 shared paper)Danesh Moazed (1 shared paper)Stephen C. Blacklow (6 shared papers)Colin H. Lipper (1 shared paper)Xiang Xu (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)RNA (2 papers)Developmental Cell (1 paper)Nature (1 paper)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Emily D. Egan
13 papers receiving 548 citations
Peers
Comparison fields: 5 of 78
- Aging 31
- Physiology 230
- Molecular Biology 447
- Cancer Research 80
- Biotechnology 22
Countries citing papers authored by Emily D. Egan
This map shows the geographic impact of Emily D. Egan'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 Emily D. Egan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily D. Egan more than expected).
Fields of papers citing papers by Emily D. Egan
This network shows the impact of papers produced by Emily D. Egan. 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 Emily D. Egan. The network helps show where Emily D. Egan may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily D. Egan, 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 | 2012 | 139 | |
| 2 | 2010 | 86 | |
| 3 | 2014 | 84 | |
| 4 | 2017 | 64 | |
| 5 | 2012 | 60 | |
| 6 | 2017 | 37 | |
| 7 | 2023 | 24 | |
| 8 | 2015 | 23 | |
| 9 | 2022 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2020 | 7 | |
| 12 | 2024 | 4 | |
| 13 | VA Home Based Primary Care Program: A Primer and Lessons for Medicare | 2012 | 1 |
| 14 | 2025 | 0 |
About Emily D. Egan
Emily D. Egan is a scholar working on Molecular Biology, Physiology, Neurology, Cell Biology and Immunology and Allergy, having authored 14 papers that have together received 550 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Cell Adhesion Molecules Research (2 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Developmental Biology and Gene Regulation (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Aging (31 citations), Physiology (230 citations), Molecular Biology (447 citations), Cancer Research (80 citations) and Biotechnology (22 citations). Emily D. Egan has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Kathleen Collins, Karen Adelman, Craig R. Braun, Steven P. Gygi, Danesh Moazed, Stephen C. Blacklow, Colin H. Lipper, Xiang Xu, Brian J. McMillan and Brandon Zimmerman. Their work appears in journals such as Molecular and Cellular Biology, RNA, Developmental Cell, Nature 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.