Kaylyn L. Devlin

839 total citations
13 papers, 146 citations indexed

About

Kaylyn L. Devlin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kaylyn L. Devlin has authored 13 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Kaylyn L. Devlin's work include Advanced Biosensing Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Kaylyn L. Devlin is often cited by papers focused on Advanced Biosensing Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Kaylyn L. Devlin collaborates with scholars based in United States, Germany and Canada. Kaylyn L. Devlin's co-authors include Laura M. Lashinger, Stephen D. Hursting, Jennifer Huang, Michaël Pollak, Sarah M. Dunlap, Rudolf Kaaks, Vincenza Cifarelli, Nikki A. Ford, James E. Korkola and Rebecca Smith and has published in prestigious journals such as PLoS ONE, Biochemistry and Diabetes.

In The Last Decade

Kaylyn L. Devlin

11 papers receiving 140 citations

Peers

Kaylyn L. Devlin
Riccardo Massimiliano Betto Italy
Rene Prudente United States
Jessica J. Y. Lee Canada
Jeffery M. Vahrenkamp United States
Barbara C. Worst Germany
Alexander B. Saltzman United States
Christopher R. Daniels United States
Fabian T. Andes Germany
Felipe Slebe Spain
Niveda Sundararaman United States
Riccardo Massimiliano Betto Italy
Kaylyn L. Devlin
Citations per year, relative to Kaylyn L. Devlin Kaylyn L. Devlin (= 1×) peers Riccardo Massimiliano Betto

Countries citing papers authored by Kaylyn L. Devlin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kaylyn L. Devlin

This figure shows the co-authorship network connecting the top 25 collaborators of Kaylyn L. Devlin. A scholar is included among the top collaborators of Kaylyn L. Devlin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaylyn L. Devlin. Kaylyn L. Devlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Devlin, Kaylyn L., Samantha R. Levine, D. Reid, et al.. (2025). Comprehensive Identification of β-Lactam Antibiotic Polypharmacology in Mycobacterium tuberculosis. ACS Infectious Diseases. 11(9). 2422–2433.
2.
Devlin, Kaylyn L., et al.. (2025). Proteomic characterization of Mycobacterium tuberculosis subjected to carbon starvation. mSystems. 10(5). e0153024–e0153024. 1 indexed citations
3.
4.
Devlin, Kaylyn L., et al.. (2023). Orthogonal Versatile Interacting Peptide Tags for Imaging Cellular Proteins. Biochemistry. 62(11). 1735–1743. 3 indexed citations
5.
Hernandez, Sarah, Ryan G. Lim, Mark Dane, et al.. (2022). An altered extracellular matrix–integrin interface contributes to Huntington’s disease-associated CNS dysfunction in glial and vascular cells. Human Molecular Genetics. 32(9). 1483–1496. 11 indexed citations
6.
Garay, Joseph P., Rebecca Smith, Kaylyn L. Devlin, et al.. (2021). Sensitivity to targeted therapy differs between HER2-amplified breast cancer cells harboring kinase and helical domain mutations in PIK3CA. Breast Cancer Research. 23(1). 81–81. 8 indexed citations
7.
Iizuka, Shinji, Ronald P. Leon, Ying Zhang, et al.. (2020). Crosstalk between invadopodia and the extracellular matrix. European Journal of Cell Biology. 99(7). 151122–151122. 12 indexed citations
8.
Smith, Rebecca, Kaylyn L. Devlin, David Kilburn, et al.. (2019). Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer. Journal of Visualized Experiments. 9 indexed citations
9.
Bucher, Elmar, Rebecca Smith, Kaylyn L. Devlin, et al.. (2019). Annot: a Django-based sample, reagent, and experiment metadata tracking system. BMC Bioinformatics. 20(1). 542–542. 1 indexed citations
10.
Devlin, Kaylyn L., David Kilburn, Sean M. Gross, et al.. (2019). Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer. Journal of Visualized Experiments.
11.
Devlin, Kaylyn L., et al.. (2016). Stage-Specific MicroRNAs and Their Role in the Anticancer Effects of Calorie Restriction in a Rat Model of ER-Positive Luminal Breast Cancer. PLoS ONE. 11(7). e0159686–e0159686. 12 indexed citations
12.
Cifarelli, Vincenza, Laura M. Lashinger, Kaylyn L. Devlin, et al.. (2015). Metformin and Rapamycin Reduce Pancreatic Cancer Growth in Obese Prediabetic Mice by Distinct MicroRNA-Regulated Mechanisms. Diabetes. 64(5). 1632–1642. 70 indexed citations
13.
Ford, Nikki A., Kaylyn L. Devlin, Laura M. Lashinger, & Stephen D. Hursting. (2013). Deconvoluting the Obesity and Breast Cancer Link: Secretome, Soil and Seed Interactions. Journal of Mammary Gland Biology and Neoplasia. 18(3-4). 267–275. 17 indexed citations

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.

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