Kaylyn L. Devlin
Impact in
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
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- Gene expression and cancer classification 3
- Advanced Biosensing Techniques and Applications 3
- Metabolism, Diabetes, and Cancer 2
- Biochemical and Molecular Research 2
- Oncology 4
- Cancer Risks and Factors 2
- Co-authors
- Laura M. Lashinger (3 shared papers)Stephen D. Hursting (4 shared papers)Jennifer Huang (1 shared paper)Sarah M. Dunlap (1 shared paper)Michaël Pollak (1 shared paper)Vincenza Cifarelli (1 shared paper)Rudolf Kaaks (1 shared paper)Nikki A. Ford (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Cancers (1 paper)European Journal of Cell Biology (1 paper)Diabetes (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Kaylyn L. Devlin
11 papers receiving 140 citations
Peers
Comparison fields: 5 of 47
- Aging 5
- Cancer Research 38
- Oncology 55
- Molecular Biology 99
- Biophysics 6
Countries citing papers authored by Kaylyn L. Devlin
This map shows the geographic impact of Kaylyn L. Devlin'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 Kaylyn L. Devlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaylyn L. Devlin more than expected).
Fields of papers citing papers by Kaylyn L. Devlin
This network shows the impact of papers produced by Kaylyn L. Devlin. 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 Kaylyn L. Devlin. The network helps show where Kaylyn L. Devlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaylyn L. Devlin, 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 | 2015 | 70 | |
| 2 | 2013 | 17 | |
| 3 | 2016 | 12 | |
| 4 | 2020 | 12 | |
| 5 | 2022 | 11 | |
| 6 | 2019 | 9 | |
| 7 | 2021 | 8 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2019 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2019 | 0 |
About Kaylyn L. Devlin
Kaylyn L. Devlin is a scholar working on Molecular Biology, Oncology, Cancer Research, Infectious Diseases and Cell Biology, having authored 13 papers that have together received 146 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Advanced Biosensing Techniques and Applications (3 papers), MicroRNA in disease regulation (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Tuberculosis Research and Epidemiology (2 papers), Biochemical and Molecular Research (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Aging (5 citations), Cancer Research (38 citations), Oncology (55 citations), Molecular Biology (99 citations) and Biophysics (6 citations). Kaylyn L. Devlin has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Laura M. Lashinger, Stephen D. Hursting, Jennifer Huang, Sarah M. Dunlap, Michaël Pollak, Vincenza Cifarelli, Rudolf Kaaks, Nikki A. Ford, Rebecca Smith and James E. Korkola. Their work appears in journals such as Journal of Visualized Experiments, Cancers, European Journal of Cell Biology, Diabetes and Human Molecular Genetics.
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.