Nathan E. Grega‐Larson
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
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- Cellular Mechanics and Interactions 5
- Microtubule and mitosis dynamics 2
- Cellular transport and secretion 2
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- RNA Interference and Gene Delivery 2
- RNA Research and Splicing 2
- Extracellular vesicles in disease 2
- Lipid Membrane Structure and Behavior 1
- Co-authors
- Matthew J. Tyska (11 shared papers)Alissa M. Weaver (3 shared papers)Kellye C. Kirkbride (2 shared papers)Daisuke Hoshino (2 shared papers)Seema Sinha (2 shared papers)Kaitlin Costello (1 shared paper)Emily S. Clark (1 shared paper)Scott William Crawley (6 shared papers)
- Journals
- Molecular Biology of the Cell (3 papers)Cytoskeleton (2 papers)Cell (1 paper)Gut Microbes (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Nathan E. Grega‐Larson
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 393
- Immunology and Allergy 116
- Cell Biology 234
- Molecular Biology 840
- Sensory Systems 46
Countries citing papers authored by Nathan E. Grega‐Larson
This map shows the geographic impact of Nathan E. Grega‐Larson'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 Nathan E. Grega‐Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan E. Grega‐Larson more than expected).
Fields of papers citing papers by Nathan E. Grega‐Larson
This network shows the impact of papers produced by Nathan E. Grega‐Larson. 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 Nathan E. Grega‐Larson. The network helps show where Nathan E. Grega‐Larson may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan E. Grega‐Larson, 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 | 2013 | 461 | |
| 2 | 2016 | 259 | |
| 3 | 2014 | 140 | |
| 4 | 2018 | 52 | |
| 5 | 2016 | 47 | |
| 6 | 2013 | 41 | |
| 7 | 2015 | 37 | |
| 8 | 2016 | 26 | |
| 9 | 2019 | 17 | |
| 10 | 2010 | 12 | |
| 11 | 2014 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2016 | 1 |
About Nathan E. Grega‐Larson
Nathan E. Grega‐Larson is a scholar working on Cell Biology, Molecular Biology, Biomaterials, Endocrinology and Immunology and Allergy, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Microtubule and mitosis dynamics (2 papers), RNA Interference and Gene Delivery (2 papers), RNA Research and Splicing (2 papers), Extracellular vesicles in disease (2 papers), Cellular transport and secretion (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Escherichia coli research studies (1 paper). The work is most often cited by research in Cancer Research (393 citations), Immunology and Allergy (116 citations), Cell Biology (234 citations), Molecular Biology (840 citations) and Sensory Systems (46 citations). Nathan E. Grega‐Larson has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Matthew J. Tyska, Alissa M. Weaver, Kellye C. Kirkbride, Daisuke Hoshino, Seema Sinha, Kaitlin Costello, Emily S. Clark, Scott William Crawley, Nan Hyung Hong and Motoharu Seiki. Their work appears in journals such as Molecular Biology of the Cell, Cytoskeleton, Cell, Gut Microbes and 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.