Marshall Thomas
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
Papers in
-
- RNA Research and Splicing 5
- RNA regulation and disease 3
- RNA modifications and cancer 2
- CRISPR and Genetic Engineering 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Genomics and Chromatin Dynamics 1
- Genetics 1
- Virus-based gene therapy research 1
- Co-authors
- Judy Lieberman (5 shared papers)Ashish Lal (1 shared paper)Tyler Hickman (1 shared paper)Marc D. Panas (1 shared paper)Shawn M. Lyons (1 shared paper)Pavel Ivanov (1 shared paper)Paul Anderson (1 shared paper)Gerald M. McInerney (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Cell Reports (1 paper)Blood (1 paper)Nature (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Marshall Thomas
7 papers receiving 1.4k citations
Marshall Thomas's Hit Papers
Peers
Comparison fields: 5 of 87
- Cancer Research 376
- Molecular Biology 1.2k
- Aging 19
- Cell Biology 95
- Physiology 105
Countries citing papers authored by Marshall Thomas
This map shows the geographic impact of Marshall Thomas'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 Marshall Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marshall Thomas more than expected).
Fields of papers citing papers by Marshall Thomas
This network shows the impact of papers produced by Marshall Thomas. 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 Marshall Thomas. The network helps show where Marshall Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Marshall Thomas, 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 | G3BP–Caprin1–USP10 complexes mediate stress granule condensation and associate with 40S subunits Hit paper breakdown → | 2016 | 474 |
| 2 | 2010 | 418 | |
| 3 | 2010 | 348 | |
| 4 | 2015 | 119 | |
| 5 | 2011 | 39 | |
| 6 | 2012 | 29 | |
| 7 | 2011 | 10 | |
| 8 | 2013 | 0 |
About Marshall Thomas
Marshall Thomas is a scholar working on Molecular Biology, Genetics, Aging, Immunology and Cancer Research, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA regulation and disease (3 papers), RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Virus-based gene therapy research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), MicroRNA in disease regulation (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cancer Research (376 citations), Molecular Biology (1.2k citations), Aging (19 citations), Cell Biology (95 citations) and Physiology (105 citations). Marshall Thomas has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Judy Lieberman, Ashish Lal, Tyler Hickman, Marc D. Panas, Shawn M. Lyons, Pavel Ivanov, Paul Anderson, Gerald M. McInerney, Nancy Kedersha and Sarah Tisdale. Their work appears in journals such as The Journal of Cell Biology, Cell Reports, Blood, Nature and Scientific 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.