Eric A. Miska
Impact in
- Aging top 0.05%
- Cancer Research top 0.01%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Aging 54
- Genetics, Aging, and Longevity in Model Organisms 54
-
- MicroRNA in disease regulation 42
- Cancer-related molecular mechanisms research 27
- Co-authors
- Ezequiel Alvarez-SaavedraH. Robert HorvitzTony KouzaridesAndrew J. BannisterJames R. DowningGad GetzTyler JacksAdolfo A. Ferrando
- Journals
- PLoS Genetics (7 papers)Science (6 papers)Genome Research (6 papers)eLife (6 papers)Nature Communications (5 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Eric A. Miska
156 papers receiving 31.1k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Aging 2.1k
- Cancer Research 15.9k
- Molecular Biology 25.2k
- Genetics 2.8k
- Immunology 2.0k
Countries citing papers authored by Eric A. Miska
This map shows the geographic impact of Eric A. Miska'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 Eric A. Miska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric A. Miska more than expected).
Fields of papers citing papers by Eric A. Miska
This network shows the impact of papers produced by Eric A. Miska. 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 Eric A. Miska. The network helps show where Eric A. Miska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric A. Miska, 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 | 3 | |
| 2 | 2022 | 16 | |
| 3 | 2022 | 15 | |
| 4 | 2022 | 41 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 138 | |
| 8 | 2019 | 116 | |
| 9 | 2019 | 96 | |
| 10 | 2019 | 9 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 29 | |
| 13 | 2017 | 39 | |
| 14 | 2017 | 29 | |
| 15 | 2015 | 44 | |
| 16 | 2013 | 35 | |
| 17 | 2012 | 279 | |
| 18 | Genetic Unmasking of an Epigenetically Silenced microRNA in Human Cancer Cells Hit paper breakdown → | 2007 | 729 |
| 19 | Requirement of bic/microRNA-155 for Normal Immune Function Hit paper breakdown → | 2007 | 1561 |
| 20 | MicroRNA Expression in Zebrafish Embryonic Development Hit paper breakdown → | 2005 | 1284 |
About Eric A. Miska
Eric A. Miska is a scholar working on Aging, Cancer Research, Molecular Biology, Plant Science and Genetics, having authored 161 papers that have together received 31.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (54 papers), CRISPR and Genetic Engineering (45 papers), MicroRNA in disease regulation (42 papers), RNA Research and Splicing (28 papers), Cancer-related molecular mechanisms research (27 papers), Chromosomal and Genetic Variations (26 papers), RNA modifications and cancer (23 papers) and Epigenetics and DNA Methylation (14 papers). The work is most often cited by research in Aging (2.1k citations), Cancer Research (15.9k citations), Molecular Biology (25.2k citations), Genetics (2.8k citations) and Immunology (2.0k citations). Eric A. Miska has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Ezequiel Alvarez-Saavedra, H. Robert Horvitz, Tony Kouzarides, Andrew J. Bannister, James R. Downing, Gad Getz, Tyler Jacks, Adolfo A. Ferrando, Todd R. Golub and Benjamin L. Ebert. Their work appears in journals such as PLoS Genetics, Science, Genome Research, eLife and Nature Communications.
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.