Cecily Q. Bernales

1.0k total citations
23 papers, 381 citations indexed

About

Cecily Q. Bernales is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Cecily Q. Bernales has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Cecily Q. Bernales's work include Cancer Genomics and Diagnostics (5 papers), interferon and immune responses (3 papers) and Multiple Sclerosis Research Studies (3 papers). Cecily Q. Bernales is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), interferon and immune responses (3 papers) and Multiple Sclerosis Research Studies (3 papers). Cecily Q. Bernales collaborates with scholars based in Canada, United States and Finland. Cecily Q. Bernales's co-authors include Carles Vilariño‐Güell, A. Dessa Sadovnick, Anthony Traboulsee, Jay P. Ross, Mary Joy Encarnacion, Irene M. Yee, Sabine Ivison, Theodore S. Steiner, Ali H. Rajput and Maria Criscuoli and has published in prestigious journals such as Neuron, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Cecily Q. Bernales

21 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cecily Q. Bernales Canada 12 147 136 71 58 51 23 381
Marianna Esposito Italy 8 139 0.9× 146 1.1× 42 0.6× 42 0.7× 14 0.3× 10 434
Sakina Zaïdi France 9 152 1.0× 39 0.3× 36 0.5× 49 0.8× 83 1.6× 11 441
Qing Yan United States 11 340 2.3× 86 0.6× 23 0.3× 103 1.8× 14 0.3× 19 583
Roberto Meza‐Romero United States 17 108 0.7× 464 3.4× 71 1.0× 61 1.1× 28 0.5× 37 665
Timothy Weeden Slovakia 7 155 1.1× 101 0.7× 64 0.9× 41 0.7× 22 0.4× 8 336
Judith A. Hobert United States 8 298 2.0× 28 0.2× 59 0.8× 64 1.1× 25 0.5× 15 487
Amennai Daniel Beyeen Sweden 11 85 0.6× 133 1.0× 93 1.3× 58 1.0× 35 0.7× 11 295
Rebecca A. Sweet United States 11 132 0.9× 521 3.8× 100 1.4× 64 1.1× 54 1.1× 12 732
Luke C. Gandolfo Australia 12 267 1.8× 176 1.3× 19 0.3× 87 1.5× 33 0.6× 13 573
Friederike Frommer Germany 9 138 0.9× 359 2.6× 108 1.5× 75 1.3× 30 0.6× 9 581

Countries citing papers authored by Cecily Q. Bernales

Since Specialization
Citations

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

Fields of papers citing papers by Cecily Q. Bernales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cecily Q. Bernales. 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 Cecily Q. Bernales. The network helps show where Cecily Q. Bernales may publish in the future.

Co-authorship network of co-authors of Cecily Q. Bernales

This figure shows the co-authorship network connecting the top 25 collaborators of Cecily Q. Bernales. A scholar is included among the top collaborators of Cecily Q. Bernales 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 Cecily Q. Bernales. Cecily Q. Bernales 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.
Bacon, Jack V. W., Cameron Herberts, Cecily Q. Bernales, et al.. (2025). Clonal hematopoiesis in metastatic urothelial and renal cell carcinoma. npj Precision Oncology. 9(1). 177–177. 1 indexed citations
2.
Vandekerkhove, Gillian, Andrew J. Murtha, David C. Müller, et al.. (2024). Abstract A007: Circulating tumor DNA and tissue staining analyses reveal heterogeneous ERBB2/HER2 status in urothelial cancer. Clinical Cancer Research. 30(10_Supplement). A007–A007.
3.
Schönlau, Elena, David C. Müller, Gillian Vandekerkhove, et al.. (2023). Evaluating the use of circulating tumor DNA (ctDNA) in patients with urothelial cancer in the context of FGFR-targeted therapy.. Journal of Clinical Oncology. 41(16_suppl). 4577–4577.
4.
Ritch, Elie, Cameron Herberts, Evan W. Warner, et al.. (2023). A generalizable machine learning framework for classifying DNA repair defects using ctDNA exomes. npj Precision Oncology. 7(1). 27–27. 6 indexed citations
5.
Warner, Evan W., Kim Van der Eecken, Andrew J. Murtha, et al.. (2022). Abstract 41: Multi-focal genomic dissection of synchronous primary and metastatic tissue from de novo metastatic prostate cancer. Cancer Research. 82(12_Supplement). 41–41. 1 indexed citations
6.
Encarnacion, Mary Joy, Cecily Q. Bernales, A. Dessa Sadovnick, et al.. (2020). Genetic analysis of nucleotide-binding leucine-rich repeat (NLR) receptors in multiple sclerosis. Immunogenetics. 72(6-7). 381–385. 9 indexed citations
7.
Sadovnick, A. Dessa, Anthony Traboulsee, Yinshan Zhao, et al.. (2017). Genetic modifiers of multiple sclerosis progression, severity and onset. Clinical Immunology. 180. 100–105. 15 indexed citations
8.
Bernales, Cecily Q., Mary Joy Encarnacion, Maria Criscuoli, et al.. (2017). Analysis of NOD-like receptor NLRP1 in multiple sclerosis families. Immunogenetics. 70(3). 205–207. 16 indexed citations
9.
Traboulsee, Anthony, A. Dessa Sadovnick, Mary Joy Encarnacion, et al.. (2017). Common genetic etiology between “multiple sclerosis-like” single-gene disorders and familial multiple sclerosis. Human Genetics. 136(6). 705–714. 9 indexed citations
10.
Sadovnick, A. Dessa, Ben J. Gu, Anthony Traboulsee, et al.. (2017). Purinergic receptorsP2RX4andP2RX7in familial multiple sclerosis. Human Mutation. 38(6). 736–744. 37 indexed citations
11.
Wang, Zhe, A. Dessa Sadovnick, Anthony Traboulsee, et al.. (2016). Nuclear Receptor NR1H3 in Familial Multiple Sclerosis. Neuron. 90(5). 948–954. 65 indexed citations
12.
Wang, Zhe, A. Dessa Sadovnick, Anthony Traboulsee, et al.. (2016). Case-Control Studies Are Not Familial Studies. Neuron. 92(2). 339–341. 6 indexed citations
13.
Bernales, Cecily Q., Jay P. Ross, Irene M. Yee, et al.. (2015). Analysis of CH25H in multiple sclerosis and neuromyelitis optica. Journal of Neuroimmunology. 291. 70–72. 15 indexed citations
14.
Rajput, Alex, Jay P. Ross, Cecily Q. Bernales, et al.. (2014). VPS35 and DNAJC13 disease-causing variants in essential tremor. European Journal of Human Genetics. 23(6). 887–888. 23 indexed citations
15.
Traboulsee, Anthony, et al.. (2014). Genetic variants in IL2RA and IL7R affect multiple sclerosis disease risk and progression. Neurogenetics. 15(3). 165–169. 31 indexed citations
16.
Ross, Jay P., Sruti Rayaprolu, Cecily Q. Bernales, et al.. (2013). SLC1A2 rs3794087 does not associate with essential tremor. Neurobiology of Aging. 35(4). 935.e9–935.e10. 17 indexed citations
17.
Ross, Jay P., et al.. (2013). Analysis of CYP27B1 in multiple sclerosis. Journal of Neuroimmunology. 266(1-2). 64–66. 17 indexed citations
18.
Rajput, Ali H., Ali H. Rajput, Michele L. Rajput, et al.. (2013). Identification of FUS p.R377W in essential tremor. European Journal of Neurology. 21(2). 361–363. 22 indexed citations
19.
Ivison, Sabine, et al.. (2007). Protein Kinase D Interaction with TLR5 Is Required for Inflammatory Signaling in Response to Bacterial Flagellin. The Journal of Immunology. 178(9). 5735–5743. 46 indexed citations
20.
Ivison, Sabine, et al.. (2006). A phosphorylation site in the Toll-like receptor 5 TIR domain is required for inflammatory signalling in response to flagellin. Biochemical and Biophysical Research Communications. 352(4). 936–941. 28 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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