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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- RNA Research and Splicing 2
- Extracellular vesicles in disease 2
- RNA Interference and Gene Delivery 2
- Lipid Membrane Structure and Behavior 1
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- Cellular Mechanics and Interactions 5
- Microtubule and mitosis dynamics 2
- Cellular transport and secretion 2
- Co-authors
- Matthew J. Tyska (11 shared papers)Alissa M. Weaver (3 shared papers)Seema Sinha (2 shared papers)Daisuke Hoshino (2 shared papers)Kellye C. Kirkbride (2 shared papers)Emily S. Clark (1 shared paper)Kaitlin Costello (1 shared paper)Scott W. Crawley (6 shared papers)
- Journals
- Molecular Biology of the Cell (3 papers)Cytoskeleton (2 papers)Current Opinion in Cell Biology (1 paper)The Journal of Cell Biology (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Nathan E. Grega‐Larson
13 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 390
- Immunology and Allergy 113
- Cell Biology 235
- Molecular Biology 795
- Sensory Systems 41
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 | 422 | |
| 2 | 2016 | 244 | |
| 3 | 2014 | 132 | |
| 4 | 2018 | 49 | |
| 5 | 2016 | 44 | |
| 6 | 2013 | 38 | |
| 7 | 2015 | 35 | |
| 8 | 2016 | 23 | |
| 9 | 2019 | 16 | |
| 10 | 2014 | 11 | |
| 11 | 2010 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2016 | 1 |
About Nathan E. Grega‐Larson
Nathan E. Grega‐Larson is a scholar working on Molecular Biology, Cell Biology, Biomaterials, Infectious Diseases and Surgery, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), RNA Research and Splicing (2 papers), Microtubule and mitosis dynamics (2 papers), Extracellular vesicles in disease (2 papers), RNA Interference and Gene Delivery (2 papers), Cellular transport and secretion (2 papers), Cell Image Analysis Techniques (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cancer Research (390 citations), Immunology and Allergy (113 citations), Cell Biology (235 citations), Molecular Biology (795 citations) and Sensory Systems (41 citations). Nathan E. Grega‐Larson has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Matthew J. Tyska, Alissa M. Weaver, Seema Sinha, Daisuke Hoshino, Kellye C. Kirkbride, Emily S. Clark, Kaitlin Costello, Scott W. Crawley, Motoharu Seiki and Nan Hyung Hong. Their work appears in journals such as Molecular Biology of the Cell, Cytoskeleton, Current Opinion in Cell Biology, The Journal of Cell Biology and Current Biology.
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.