Emily Meredith
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
-
- Muscle Physiology and Disorders 2
- Co-authors
- Qing Kang (1 shared paper)Jason D. Arroyo (1 shared paper)Era L. Pogosova‐Agadjanyan (1 shared paper)Colm Morrissey (1 shared paper)Florian Hladik (1 shared paper)Sean M. Hughes (1 shared paper)Emily N. Gallichotte (1 shared paper)Heather H. Cheng (1 shared paper)
- Journals
- Cell Reports (2 papers)RNA (1 paper)The Journal of Immunology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- United StatesUgandaBrazil
In The Last Decade
Emily Meredith
9 papers receiving 1.1k citations
Emily Meredith's Hit Papers
Peers
Comparison fields: 5 of 82
- Cancer Research 600
- Molecular Biology 944
- Immunology and Allergy 29
- Cardiology and Cardiovascular Medicine 100
- Immunology 82
Countries citing papers authored by Emily Meredith
This map shows the geographic impact of Emily Meredith'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 Meredith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Meredith more than expected).
Fields of papers citing papers by Emily Meredith
This network shows the impact of papers produced by Emily Meredith. 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 Meredith. The network helps show where Emily Meredith may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily Meredith, 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 | Quantitative and stoichiometric analysis of the microRNA content of exosomes Hit paper breakdown → | 2014 | 895 |
| 2 | 2018 | 81 | |
| 3 | 2016 | 50 | |
| 4 | 2020 | 18 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 14 | |
| 7 | 2024 | 10 | |
| 8 | Fisheries Release Mortality: Identifying, Prioritizing, and Resolving Data Gaps | 2014 | 6 |
| 9 | 2024 | 1 |
About Emily Meredith
Emily Meredith is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Infectious Diseases and Nature and Landscape Conservation, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Viral Infections and Immunology Research (1 paper), Fish Ecology and Management Studies (1 paper), Marine Bivalve and Aquaculture Studies (1 paper), Marine and fisheries research (1 paper), Peptidase Inhibition and Analysis (1 paper) and Biotin and Related Studies (1 paper). The work is most often cited by research in Cancer Research (600 citations), Molecular Biology (944 citations), Immunology and Allergy (29 citations), Cardiology and Cardiovascular Medicine (100 citations) and Immunology (82 citations). Emily Meredith has collaborated with scholars based in United States, Uganda and Brazil. Frequent co-authors include Qing Kang, Jason D. Arroyo, Era L. Pogosova‐Agadjanyan, Colm Morrissey, Florian Hladik, Sean M. Hughes, Emily N. Gallichotte, Heather H. Cheng, John R. Chevillet and Evan Y. Yu. Their work appears in journals such as Cell Reports, RNA, The Journal of Immunology, Proceedings of the National Academy of Sciences and Stem Cell Reports.
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.