Kevin Roarty
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
- Oncology 16
- Cancer Cells and Metastasis 12
- Cytokine Signaling Pathways and Interactions 4
- Cancer-related Molecular Pathways 3
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Jeffrey M. RosenRosa SerraEtty BenvenisteChad J. CreightonKristen L. MeerbreyJessica D. KesslerGuang HuRonald J. Bernardi
- Journals
- Stem Cells (2 papers)Breast Cancer Research (2 papers)Cancer Research (2 papers)Clinical Cancer Research (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesAustriaAustralia
In The Last Decade
Kevin Roarty
22 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Oncology 662
- Cancer Research 249
- Molecular Biology 1.0k
- Immunology 283
- Immunology and Allergy 53
Countries citing papers authored by Kevin Roarty
This map shows the geographic impact of Kevin Roarty'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 Kevin Roarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Roarty more than expected).
Fields of papers citing papers by Kevin Roarty
This network shows the impact of papers produced by Kevin Roarty. 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 Kevin Roarty. The network helps show where Kevin Roarty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Roarty, 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 | 2023 | 4 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 33 | |
| 5 | 2018 | 19 | |
| 6 | 2017 | 32 | |
| 7 | 2017 | 35 | |
| 8 | 2016 | 3 | |
| 9 | 2015 | 38 | |
| 10 | 2014 | 22 | |
| 11 | 2012 | 43 | |
| 12 | 2012 | 73 | |
| 13 | The pINDUCER lentiviral toolkit for inducible RNA interference in vitro and in vivo Hit paper breakdown → | 2011 | 473 |
| 14 | 2010 | 64 | |
| 15 | 2009 | 190 | |
| 16 | 2009 | 57 | |
| 17 | 2008 | 157 | |
| 18 | 2008 | 20 | |
| 19 | 2008 | 1 | |
| 20 | 2007 | 137 |
About Kevin Roarty
Kevin Roarty is a scholar working on Oncology, Cancer Research, Molecular Biology, Modeling and Simulation and Immunology and Allergy, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (12 papers), Wnt/β-catenin signaling in development and cancer (9 papers), Cancer-related gene regulation (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related Molecular Pathways (3 papers), Reproductive Biology and Fertility (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (662 citations), Cancer Research (249 citations), Molecular Biology (1.0k citations), Immunology (283 citations) and Immunology and Allergy (53 citations). Kevin Roarty has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Jeffrey M. Rosen, Rosa Serra, Etty Benveniste, Chad J. Creighton, Kristen L. Meerbrey, Jessica D. Kessler, Guang Hu, Ronald J. Bernardi, Mamie Z. Li and Xiaoyong Fu. Their work appears in journals such as Stem Cells, Breast Cancer Research, Cancer Research, Clinical Cancer Research and The Journal of Cell 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.