Matthew J. Shurtleff
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
-
- Extracellular vesicles in disease 6
- RNA Interference and Gene Delivery 3
- RNA Research and Splicing 2
- Circular RNAs in diseases 1
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- MicroRNA in disease regulation 4
- Co-authors
- Morayma M. Temoche-Diaz (5 shared papers)Randy Schekman (5 shared papers)Kate Karfilis (1 shared paper)Sayaka Ri (1 shared paper)Alan M. Lambowitz (2 shared papers)Jun Yao (2 shared papers)Ryan M. Nottingham (2 shared papers)Yidan Qin (1 shared paper)
- Journals
- eLife (5 papers)Proceedings of the National Academy of Sciences (1 paper)Cancer Research (1 paper)BIO-PROTOCOL (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Matthew J. Shurtleff
9 papers receiving 1.5k citations
Matthew J. Shurtleff's Hit Papers
Peers
Comparison fields: 5 of 76
- Cancer Research 699
- Molecular Biology 1.3k
- Cell Biology 126
- Immunology 150
- Immunology and Allergy 40
Countries citing papers authored by Matthew J. Shurtleff
This map shows the geographic impact of Matthew J. Shurtleff'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 Matthew J. Shurtleff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Shurtleff more than expected).
Fields of papers citing papers by Matthew J. Shurtleff
This network shows the impact of papers produced by Matthew J. Shurtleff. 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 Matthew J. Shurtleff. The network helps show where Matthew J. Shurtleff may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew J. Shurtleff, 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 | Y-box protein 1 is required to sort microRNAs into exosomes in cells and in a cell-free reaction Hit paper breakdown → | 2016 | 498 |
| 2 | 2017 | 260 | |
| 3 | 2012 | 219 | |
| 4 | 2019 | 179 | |
| 5 | 2018 | 158 | |
| 6 | 2020 | 69 | |
| 7 | 2019 | 48 | |
| 8 | 2017 | 47 | |
| 9 | 2020 | 6 |
About Matthew J. Shurtleff
Matthew J. Shurtleff is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Virology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), RNA Research and Splicing (2 papers), Mosquito-borne diseases and control (1 paper), Circular RNAs in diseases (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Cancer Research (699 citations), Molecular Biology (1.3k citations), Cell Biology (126 citations), Immunology (150 citations) and Immunology and Allergy (40 citations). Matthew J. Shurtleff has collaborated with scholars based in United States and Germany. Frequent co-authors include Morayma M. Temoche-Diaz, Randy Schekman, Kate Karfilis, Sayaka Ri, Alan M. Lambowitz, Jun Yao, Ryan M. Nottingham, Yidan Qin, Amy M. Skinner and Natalya A. Goloviznina. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, Cancer Research and BIO-PROTOCOL.
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.