Brittany Baur

409 total citations
14 papers, 189 citations indexed

About

Brittany Baur is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Brittany Baur has authored 14 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Brittany Baur's work include Epigenetics and DNA Methylation (4 papers), Bioinformatics and Genomic Networks (4 papers) and Genomics and Chromatin Dynamics (4 papers). Brittany Baur is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Bioinformatics and Genomic Networks (4 papers) and Genomics and Chromatin Dynamics (4 papers). Brittany Baur collaborates with scholars based in United States, United Kingdom and Spain. Brittany Baur's co-authors include Sabina Quader, Chien‐Hung Huang, Emily Wong, Serdar Bozdag, Sushmita Roy, Shilu Zhang, Jun S. Song, Yi Zhang, Junha Shin and Jill D. Haag and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Brittany Baur

13 papers receiving 183 citations

Peers

Brittany Baur
Emre Sefer Türkiye
Aditya Bharadwaj United States
Benjamin Hescott United States
Leslie O’Bray Switzerland
Jake P. Taylor‐King United Kingdom
Vuk Janjić United Kingdom
Giulia Muzio Switzerland
Emre Sefer Türkiye
Brittany Baur
Citations per year, relative to Brittany Baur Brittany Baur (= 1×) peers Emre Sefer

Countries citing papers authored by Brittany Baur

Since Specialization
Citations

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

Fields of papers citing papers by Brittany Baur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brittany Baur

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

All Works

14 of 14 papers shown
3.
Bridgewater, John, Ágota Szende, Michael J. Paskow, et al.. (2024). Real-world treatment patterns and challenges of patients with biliary tract cancer: retrospective chart review survey in Europe (GARNET-2). SHILAP Revista de lepidopterología. 5. 100060–100060. 2 indexed citations
4.
Dozmorov, Mikhail G., Amy L. Olex, Abhijit Chakraborty, et al.. (2023). Rewiring of the 3D genome during acquisition of carboplatin resistance in a triple-negative breast cancer patient-derived xenograft. Scientific Reports. 13(1). 5420–5420. 6 indexed citations
5.
Bridgewater, John, et al.. (2023). 125P Real-world treatment patterns in patients with biliary tract cancer (BTC): Retrospective chart review survey in Europe (GARNET-2). Annals of Oncology. 34. S229–S230. 1 indexed citations
6.
Baur, Brittany, Junha Shin, Jacob Schreiber, et al.. (2023). Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation. PLoS Computational Biology. 19(7). e1011286–e1011286. 1 indexed citations
7.
Baur, Brittany, et al.. (2022). Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility. Frontiers in Genetics. 12. 788318–788318. 5 indexed citations
8.
Baur, Brittany, et al.. (2022). Comparison of deep and shallow graph representation learning algorithms for detecting modules in molecular networks. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 14. 2375–2377. 1 indexed citations
9.
Baur, Brittany, Junha Shin, Shilu Zhang, & Sushmita Roy. (2020). Data integration for inferring context-specific gene regulatory networks. Current Opinion in Systems Biology. 23. 38–46. 6 indexed citations
10.
Zhang, Yi, et al.. (2019). The Cancer-Associated Genetic Variant Rs3903072 Modulates Immune Cells in the Tumor Microenvironment. Frontiers in Genetics. 10. 754–754. 17 indexed citations
11.
Baur, Brittany & Serdar Bozdag. (2017). ProcessDriver: A computational pipeline to identify copy number drivers and associated disrupted biological processes in cancer. Genomics. 109(3-4). 233–240. 1 indexed citations
12.
Baur, Brittany & Serdar Bozdag. (2016). A Feature Selection Algorithm to Compute Gene Centric Methylation from Probe Level Methylation Data. PLoS ONE. 11(2). e0148977–e0148977. 22 indexed citations
13.
Baur, Brittany & Serdar Bozdag. (2015). A Canonical Correlation Analysis-Based Dynamic Bayesian Network Prior to Infer Gene Regulatory Networks from Multiple Types of Biological Data. Journal of Computational Biology. 22(4). 289–299. 15 indexed citations
14.
Wong, Emily, Brittany Baur, Sabina Quader, & Chien‐Hung Huang. (2011). Biological network motif detection: principles and practice. Briefings in Bioinformatics. 13(2). 202–215. 111 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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