Denis C. Bauer

4.5k total citations
70 papers, 1.9k citations indexed

About

Denis C. Bauer is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Denis C. Bauer has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 22 papers in Genetics and 8 papers in Genetics. Recurrent topics in Denis C. Bauer's work include CRISPR and Genetic Engineering (14 papers), Genomics and Phylogenetic Studies (9 papers) and RNA and protein synthesis mechanisms (9 papers). Denis C. Bauer is often cited by papers focused on CRISPR and Genetic Engineering (14 papers), Genomics and Phylogenetic Studies (9 papers) and RNA and protein synthesis mechanisms (9 papers). Denis C. Bauer collaborates with scholars based in Australia, United Kingdom and United States. Denis C. Bauer's co-authors include Fabian A. Buske, Timothy L. Bailey, Natalie A. Twine, Aidan R. O’Brien, John S. Mattick, Mikael Bodén, Zong Hong Zhang, Qiongyi Zhao, Dhanisha J. Jhaveri and Perry F. Bartlett and has published in prestigious journals such as Nucleic Acids Research, Blood and Bioinformatics.

In The Last Decade

Denis C. Bauer

67 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denis C. Bauer Australia 20 1.3k 294 259 200 129 70 1.9k
Sang Cheol Kim South Korea 28 1.1k 0.8× 402 1.4× 170 0.7× 209 1.0× 87 0.7× 92 2.3k
Shuang Liu China 28 1.3k 1.0× 332 1.1× 318 1.2× 134 0.7× 174 1.3× 99 2.4k
Flavio Licciulli Italy 19 1.0k 0.8× 249 0.8× 152 0.6× 122 0.6× 53 0.4× 40 1.4k
Laurent‐Philippe Albou United States 7 1.2k 0.9× 194 0.7× 254 1.0× 206 1.0× 39 0.3× 9 1.9k
Ernesto Picardi Italy 34 3.2k 2.4× 489 1.7× 313 1.2× 309 1.5× 127 1.0× 106 3.8k
Hailiang Mei Netherlands 26 1.5k 1.2× 439 1.5× 302 1.2× 258 1.3× 52 0.4× 133 2.6k
Christopher Plaisier United States 21 1.4k 1.0× 344 1.2× 369 1.4× 215 1.1× 36 0.3× 43 1.9k
Antonio Fabregat United Kingdom 10 1.8k 1.4× 269 0.9× 213 0.8× 220 1.1× 67 0.5× 15 2.9k
Wen Wang United States 25 771 0.6× 129 0.4× 212 0.8× 103 0.5× 285 2.2× 72 1.7k
Slimane Ben Miled Tunisia 8 1.7k 1.3× 501 1.7× 231 0.9× 117 0.6× 43 0.3× 40 2.7k

Countries citing papers authored by Denis C. Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Denis C. Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis C. Bauer. 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 Denis C. Bauer. The network helps show where Denis C. Bauer may publish in the future.

Co-authorship network of co-authors of Denis C. Bauer

This figure shows the co-authorship network connecting the top 25 collaborators of Denis C. Bauer. A scholar is included among the top collaborators of Denis C. Bauer 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 Denis C. Bauer. Denis C. Bauer 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.
Bauer, Denis C., et al.. (2024). Prediction of Coronary Artery Disease Risk Using Genetic and Phenotypic Variables. Studies in health technology and informatics. 310. 1021–1025. 1 indexed citations
2.
Tay, Aidan P., et al.. (2024). Synsor: a tool for alignment-free detection of engineered DNA sequences. Frontiers in Bioengineering and Biotechnology. 12. 1375626–1375626.
3.
Kaphle, Anubhav, Natalie A. Twine, Yuwan Malakar, et al.. (2024). Future-proofing genomic data and consent management: a comprehensive review of technology innovations. GigaScience. 13. 7 indexed citations
4.
Scott, Suzanne, Adrian Westhaus, Erhua Zhu, et al.. (2024). AAVolve: Concatenated long-read deep sequencing enables whole capsid tracking during shuffled AAV library selection. Molecular Therapy — Methods & Clinical Development. 32(4). 101351–101351. 1 indexed citations
5.
Pretorius, Carel, Paulette Barahona, Jim McGill, et al.. (2023). Feasibility of Targeted Next-Generation DNA Sequencing for Expanding Population Newborn Screening. Clinical Chemistry. 69(8). 890–900. 5 indexed citations
6.
O’Brien, Aidan R., Denis C. Bauer, & Gaétan Burgio. (2023). Predicting CRISPR-Cas12a guide efficiency for targeting using machine learning. PLoS ONE. 18(10). e0292924–e0292924. 2 indexed citations
7.
Dunne, Robert, et al.. (2023). Thresholding Gini variable importance with a single-trained random forest: An empirical Bayes approach. Computational and Structural Biotechnology Journal. 21. 4354–4360. 10 indexed citations
8.
Scott, Suzanne, Felix Hartkopf, Claus V. Hallwirth, et al.. (2022). A bioinformatic pipeline for simulating viral integration data. Data in Brief. 42. 108161–108161. 1 indexed citations
9.
Adikusuma, Fatwa, et al.. (2021). Optimized nickase- and nuclease-based prime editing in human and mouse cells. Nucleic Acids Research. 49(18). 10785–10795. 62 indexed citations
10.
O’Brien, Aidan R., et al.. (2021). GOANA: A Universal High-Throughput Web Service for Assessing and Comparing the Outcome and Efficiency of Genome Editing Experiments. The CRISPR Journal. 4(2). 243–252. 2 indexed citations
11.
O’Brien, Aidan R., Natalie A. Twine, Gaétan Burgio, & Denis C. Bauer. (2019). Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning. Scientific Reports. 9(1). 2788–2788. 29 indexed citations
12.
Tarr, Ingrid, Emily P. McCann, Beben Benyamin, et al.. (2019). Monozygotic twins and triplets discordant for amyotrophic lateral sclerosis display differential methylation and gene expression. Scientific Reports. 9(1). 8254–8254. 30 indexed citations
13.
Huang, Hong, Denis C. Bauer, Patrick M. Lelliott, et al.. (2017). Ankyrin-1 Gene Exhibits Allelic Heterogeneity in Conferring Protection Against Malaria. G3 Genes Genomes Genetics. 7(9). 3133–3144. 3 indexed citations
14.
O’Brien, Aidan R., et al.. (2017). Breaking the Curse of Dimensionality for Machine Learning on Genomic Data.. International Joint Conference on Artificial Intelligence. 15–20. 1 indexed citations
15.
Hortle, Elinor, Brunda Nijagal, Denis C. Bauer, et al.. (2016). Adenosine monophosphate deaminase 3 activation shortens erythrocyte half-life and provides malaria resistance in mice. Blood. 128(9). 1290–1301. 24 indexed citations
16.
Taberlay, Phillippa C., Joanna Achinger-Kawecka, Aaron T. L. Lun, et al.. (2016). Three-dimensional disorganization of the cancer genome occurs coincident with long-range genetic and epigenetic alterations. Genome Research. 26(6). 719–731. 208 indexed citations
17.
Sadedin, Simon, Harriet Dashnow, Paul A. James, et al.. (2015). Cpipe: a shared variant detection pipeline designed for diagnostic settings. Genome Medicine. 7(1). 54 indexed citations
18.
O’Brien, Aidan R., Neil Saunders, Yi Guo, et al.. (2015). VariantSpark: population scale clustering of genotype information. BMC Genomics. 16(1). 1052–1052. 18 indexed citations
19.
Bauer, Denis C., Clara Gaff, Marcel E. Dinger, et al.. (2014). Genomics and personalised whole-of-life healthcare. Trends in Molecular Medicine. 20(9). 479–486. 13 indexed citations
20.
Kerr, Caroline A, Desma M. Grice, Cuong D. Tran, et al.. (2014). Early life events influence whole-of-life metabolic health via gut microflora and gut permeability. Critical Reviews in Microbiology. 41(3). 326–340. 97 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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