Matthew Ronshaugen
- Cancer Research top 5%
- MicroRNA in disease regulation 10
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 3
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation 13
- RNA Research and Splicing 7
- Circular RNAs in diseases 4
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- Neurobiology and Insect Physiology Research 6
- Genetics top 5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
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- Invertebrate Immune Response Mechanisms 4
- Co-authors
- Sam Griffiths‐JonesWilliam McGinnisMichael LevineNadine McGinnisAntonio De MarcoJerome H. L. HuiFrédéric BiemarMaria Ninova
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Genome Biology and Evolution (3 papers)Mechanisms of Development (3 papers)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Matthew Ronshaugen
36 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 489
- Aging 53
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 226
- Genetics 345
Countries citing papers authored by Matthew Ronshaugen
This map shows the geographic impact of Matthew Ronshaugen'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 Ronshaugen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Ronshaugen more than expected).
Fields of papers citing papers by Matthew Ronshaugen
This network shows the impact of papers produced by Matthew Ronshaugen. 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 Ronshaugen. The network helps show where Matthew Ronshaugen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Ronshaugen, 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 | 2022 | 14 | |
| 2 | 2020 | 4 | |
| 3 | 2020 | 10 | |
| 4 | 2017 | 20 | |
| 5 | 2015 | 34 | |
| 6 | 2014 | 16 | |
| 7 | 2014 | 26 | |
| 8 | 2014 | 29 | |
| 9 | 2013 | 58 | |
| 10 | 2012 | 52 | |
| 11 | 2011 | 169 | |
| 12 | 2008 | 23 | |
| 13 | 2006 | 47 | |
| 14 | 2005 | 139 | |
| 15 | 2004 | 55 | |
| 16 | 2004 | 139 | |
| 17 | 2002 | 19 | |
| 18 | 2001 | 65 | |
| 19 | 2000 | 20 | |
| 20 | 2000 | 49 |
About Matthew Ronshaugen
Matthew Ronshaugen is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (13 papers), MicroRNA in disease regulation (10 papers), RNA Research and Splicing (7 papers), Neurobiology and Insect Physiology Research (6 papers), Invertebrate Immune Response Mechanisms (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Circular RNAs in diseases (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Cancer Research (489 citations), Aging (53 citations) and Molecular Biology (1.4k citations). Matthew Ronshaugen has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Sam Griffiths‐Jones, William McGinnis, Michael Levine, Nadine McGinnis, Antonio De Marco, Jerome H. L. Hui, Frédéric Biemar, Maria Ninova, Jessica Piel and Eric C. Lai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genome Biology and Evolution, Mechanisms of Development, Scientific Reports and Development Genes and Evolution.
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.