Kelly Regan

731 total citations
24 papers, 518 citations indexed

About

Kelly Regan is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Kelly Regan has authored 24 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Computational Theory and Mathematics. Recurrent topics in Kelly Regan's work include Bioinformatics and Genomic Networks (10 papers), MicroRNA in disease regulation (7 papers) and Computational Drug Discovery Methods (6 papers). Kelly Regan is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), MicroRNA in disease regulation (7 papers) and Computational Drug Discovery Methods (6 papers). Kelly Regan collaborates with scholars based in United States, Canada and France. Kelly Regan's co-authors include Philip Payne, Yves A. Lussier, Haiquan Li, William E. Carson, Jianrong Li, Xinan Yang, Kimberly S. Corbin, Mark K. Ferguson, Nikolai N. Khodarev and Samuel Hellmän and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLoS Computational Biology.

In The Last Decade

Kelly Regan

23 papers receiving 515 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kelly Regan United States 12 282 141 138 109 65 24 518
Christophe Meille Switzerland 15 244 0.9× 98 0.7× 88 0.6× 346 3.2× 45 0.7× 30 682
Manish Thakur India 12 199 0.7× 45 0.3× 160 1.2× 144 1.3× 32 0.5× 29 453
Giuseppina Improta Italy 13 263 0.9× 80 0.6× 122 0.9× 206 1.9× 12 0.2× 31 468
Venkata Manem Canada 11 142 0.5× 63 0.4× 75 0.5× 123 1.1× 59 0.9× 43 379
Clare Lamont United States 6 146 0.5× 99 0.7× 110 0.8× 146 1.3× 20 0.3× 8 514
Elena Tornari Italy 9 161 0.6× 55 0.4× 71 0.5× 244 2.2× 17 0.3× 12 431
Corina N.A.M. Oldenhuis Netherlands 9 335 1.2× 160 1.1× 98 0.7× 192 1.8× 18 0.3× 13 544
Jeanne Fourie Zirkelbach United States 11 122 0.4× 104 0.7× 218 1.6× 267 2.4× 18 0.3× 14 557
Bryan A. Faller United States 11 196 0.7× 83 0.6× 179 1.3× 325 3.0× 12 0.2× 32 532
Anke Kleine-Tebbe Germany 13 206 0.7× 190 1.3× 97 0.7× 266 2.4× 10 0.2× 23 569

Countries citing papers authored by Kelly Regan

Since Specialization
Citations

This map shows the geographic impact of Kelly Regan'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 Kelly Regan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelly Regan more than expected).

Fields of papers citing papers by Kelly Regan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelly Regan. 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 Kelly Regan. The network helps show where Kelly Regan may publish in the future.

Co-authorship network of co-authors of Kelly Regan

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly Regan. A scholar is included among the top collaborators of Kelly Regan 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 Kelly Regan. Kelly Regan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Regan, Kelly, Li Ding, Lianbo Yu, et al.. (2020). Transcriptomics-Based Drug Repurposing Approach Identifies Novel Drugs against Sorafenib-Resistant Hepatocellular Carcinoma. Cancers. 12(10). 2730–2730. 34 indexed citations
2.
Latchana, Nicholas, Zachary B. Abrams, Kelly Regan, et al.. (2020). Tissue microRNA expression profiling in hepatic and pulmonary metastatic melanoma. Melanoma Research. 30(5). 455–464. 2 indexed citations
3.
Regan, Kelly, Jielin Xu, Megan Duggan, et al.. (2019). Synergy from gene expression and network mining (SynGeNet) method predicts synergistic drug combinations for diverse melanoma genomic subtypes. npj Systems Biology and Applications. 5(1). 6–6. 34 indexed citations
4.
Duggan, Megan, Kelly Regan, John H. Howard, et al.. (2019). Neuroblastoma RAS viral oncogene homolog mRNA is differentially spliced to give five distinct isoforms: implications for melanoma therapy. Melanoma Research. 29(5). 491–500. 5 indexed citations
5.
Latchana, Nicholas, Kelly Regan, Zachary B. Abrams, et al.. (2018). Alterations in patient plasma microRNA expression profiles following resection of metastatic melanoma. Journal of Surgical Oncology. 118(3). 501–509. 22 indexed citations
6.
Wu, Haoyang, et al.. (2017). MD-Miner: a network-based approach for personalized drug repositioning. BMC Systems Biology. 11(S5). 86–86. 7 indexed citations
7.
Latchana, Nicholas, Zachary B. Abrams, John H. Howard, et al.. (2017). Plasma MicroRNA Levels Following Resection of Metastatic Melanoma. Bioinformatics and Biology Insights. 11. 3743676683–3743676683. 25 indexed citations
8.
Xu, Jielin, Kelly Regan, Siyuan Deng, et al.. (2017). Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies. PubMed. 23. 92–103. 8 indexed citations
9.
Moosavinasab, Soheil, Jeremy Patterson, Robert Strouse, et al.. (2016). ‘RE:fine drugs’: an interactive dashboard to access drug repurposing opportunities. Database. 2016. baw083–baw083. 40 indexed citations
10.
Regan, Kelly, Soheil Moosavinasab, Philip Payne, & Simon Lin. (2016). Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System. Journal of Visualized Experiments. 3 indexed citations
11.
Markowitz, Joseph, Zachary B. Abrams, Naduparambil K. Jacob, et al.. (2016). MicroRNA profiling of patient plasma for clinical trials using bioinformatics and biostatistical approaches. OncoTargets and Therapy. Volume 9. 5931–5941. 5 indexed citations
12.
Latchana, Nicholas, Kelly Regan, John H. Howard, et al.. (2016). Global microRNA profiling for diagnostic appraisal of melanocytic Spitz tumors. Journal of Surgical Research. 205(2). 350–358. 15 indexed citations
13.
Regan, Kelly & Philip Payne. (2015). From Molecules to Patients: The Clinical Applications of Translational Bioinformatics. Yearbook of Medical Informatics. 24(1). 164–169. 4 indexed citations
14.
15.
Lussier, Yves A., Nikolai N. Khodarev, Kelly Regan, et al.. (2013). Correction: Oligo- and Polymetastatic Progression in Lung Metastasis(es) Patients Is Associated with Specific MicroRNAs. PLoS ONE. 8(6).
16.
Lee, Younghee, Haiquan Li, Jianrong Li, et al.. (2013). Network models of genome-wide association studies uncover the topological centrality of protein interactions in complex diseases. Journal of the American Medical Informatics Association. 20(4). 619–629. 33 indexed citations
17.
Yang, Xinan, Kelly Regan, Yong Huang, et al.. (2012). Single Sample Expression-Anchored Mechanisms Predict Survival in Head and Neck Cancer. PLoS Computational Biology. 8(1). e1002350–e1002350. 63 indexed citations
18.
Lussier, Yves A., Nikolai N. Khodarev, Kelly Regan, et al.. (2012). Oligo- and Polymetastatic Progression in Lung Metastasis(es) Patients Is Associated with Specific MicroRNAs. PLoS ONE. 7(12). e50141–e50141. 152 indexed citations
19.
Yang, Xinan, Haiquan Li, Kelly Regan, et al.. (2012). Towards mechanism classifiers: expression-anchored Gene Ontology signature predicts clinical outcome in lung adenocarcinoma patients.. PubMed. 2012. 1040–9. 7 indexed citations
20.
Regan, Kelly, Kanix Wang, Haiquan Li, et al.. (2012). Translating Mendelian and complex inheritance of Alzheimer's disease genes for predicting unique personal genome variants. Journal of the American Medical Informatics Association. 19(2). 306–316. 16 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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