Cory Brouwer

7.1k total citations · 1 hit paper
40 papers, 2.8k citations indexed

About

Cory Brouwer is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Cory Brouwer has authored 40 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Cory Brouwer's work include Bioinformatics and Genomic Networks (8 papers), Gut microbiota and health (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Cory Brouwer is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gut microbiota and health (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Cory Brouwer collaborates with scholars based in United States, United Kingdom and Netherlands. Cory Brouwer's co-authors include Weijun Luo, Steven G. Blanchard, Gaurav Pant, Jeremy J. Jay, Robert W. Reid, Susan R. Wessler, Stephen Kresovich, Alexandra M. Casa, Qiang Zhang and Lee Harland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Cory Brouwer

40 papers receiving 2.8k citations

Hit Papers

Pathview: an R/Bioconductor package for pathway-based dat... 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cory Brouwer United States 17 1.5k 565 378 349 291 40 2.8k
Dongmin Jung South Korea 10 1.6k 1.1× 532 0.9× 352 0.9× 349 1.0× 318 1.1× 16 3.0k
Hongbo Liu China 39 2.4k 1.6× 606 1.1× 486 1.3× 441 1.3× 290 1.0× 208 4.4k
Hao Yu China 28 1.4k 0.9× 337 0.6× 277 0.7× 373 1.1× 175 0.6× 169 2.6k
Zihao He China 25 1.2k 0.8× 384 0.7× 294 0.8× 365 1.0× 324 1.1× 83 2.8k
Yu Chen China 34 1.4k 0.9× 532 0.9× 228 0.6× 427 1.2× 551 1.9× 159 3.0k
John Braisted United States 18 1.7k 1.1× 437 0.8× 234 0.6× 257 0.7× 272 0.9× 40 2.8k
Jing Lü China 29 1.4k 1.0× 388 0.7× 244 0.6× 221 0.6× 331 1.1× 111 2.6k
Sonia Tarazona Spain 16 2.1k 1.4× 461 0.8× 340 0.9× 590 1.7× 239 0.8× 31 3.2k
Zhenhua Xu China 33 1.5k 1.0× 788 1.4× 451 1.2× 298 0.9× 314 1.1× 71 3.1k
Ulrich Wagner Switzerland 24 2.3k 1.6× 693 1.2× 353 0.9× 201 0.6× 383 1.3× 66 3.4k

Countries citing papers authored by Cory Brouwer

Since Specialization
Citations

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

Fields of papers citing papers by Cory Brouwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cory Brouwer

This figure shows the co-authorship network connecting the top 25 collaborators of Cory Brouwer. A scholar is included among the top collaborators of Cory Brouwer 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 Cory Brouwer. Cory Brouwer 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
2.
Surzenko, Natalia, Robert W. Reid, Julien Curaba, et al.. (2024). Functional recovery following traumatic brain injury in rats is enhanced by oral supplementation with bovine thymus extract. The FASEB Journal. 38(3). e23460–e23460. 2 indexed citations
3.
Li, Hui, Cory Brouwer, & Weijun Luo. (2022). A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data. Nature Communications. 13(1). 1901–1901. 31 indexed citations
4.
Burgess, Earle F., Joyce Sanders, Chad Livasy, et al.. (2022). Identification of potential biomarkers and novel therapeutic targets through genomic analysis of small cell bladder carcinoma and associated clinical outcomes. Urologic Oncology Seminars and Original Investigations. 40(8). 383.e1–383.e10. 2 indexed citations
5.
Bose, Mukulika, et al.. (2022). Targeting tumor-associated MUC1 overcomes anoikis-resistance in pancreatic cancer. Translational research. 253. 41–56. 47 indexed citations
6.
Sha, Wei, et al.. (2022). Identification of functional pathways for regenerative bioactivity of selected renal cells. Stem Cell Research & Therapy. 13(1). 72–72. 2 indexed citations
7.
Dong, Xiaoxi, et al.. (2021). SBGNview: towards data analysis, integration and visualization on all pathways. Bioinformatics. 38(5). 1473–1476. 6 indexed citations
8.
Jay, Jeremy J., et al.. (2021). The Aliment to Bodily Condition knowledgebase (ABCkb): a database connecting plants and human health. BMC Research Notes. 14(1). 433–433. 2 indexed citations
9.
Sanders, Joyce, Justin T. Matulay, Nury Steuerwald, et al.. (2021). Genomic analysis of response to bacillus Calmette-Guerin (BCG) treatment in high-grade stage 1 bladder cancer patients. Translational Andrology and Urology. 10(7). 2998–3009. 4 indexed citations
10.
Clinton, Sandra M., James Johnson, Kevin Lambirth, et al.. (2020). Sediment Microbial Diversity in Urban Piedmont North Carolina Watersheds Receiving Wastewater Input. Water. 12(6). 1557–1557. 3 indexed citations
11.
Ellermann, Melissa, Raad Z. Gharaibeh, Belgin Dogan, et al.. (2019). Yersiniabactin-Producing Adherent/Invasive Escherichia coli Promotes Inflammation-Associated Fibrosis in Gnotobiotic Il10 −/− Mice. Infection and Immunity. 87(11). 40 indexed citations
12.
Maughan, Peter J., Robert J. Vickerstaff, Cory Brouwer, et al.. (2019). Genomic insights from the first chromosome-scale assemblies of oat (Avena spp.) diploid species. BMC Biology. 17(1). 92–92. 51 indexed citations
13.
Machado, Denis Jacob, Daniel Janies, Cory Brouwer, & Taran Grant. (2018). A new strategy to infer circularity applied to four new complete frog mitogenomes. Ecology and Evolution. 8(8). 4011–4018. 16 indexed citations
14.
Lambirth, Kevin, Matthew C. B. Tsilimigras, Anju Lulla, et al.. (2018). Microbial Community Composition and Antibiotic Resistance Genes within a North Carolina Urban Water System. Water. 10(11). 1539–1539. 15 indexed citations
15.
Luo, Weijun, Chaolin Zhang, Yong‐hui Jiang, & Cory Brouwer. (2018). Systematic reconstruction of autism biology from massive genetic mutation profiles. Science Advances. 4(4). e1701799–e1701799. 35 indexed citations
16.
Jay, Jeremy J., et al.. (2018). Connecting nutrition composition measures to biomedical research. BMC Research Notes. 11(1). 883–883. 2 indexed citations
17.
Luo, Weijun, et al.. (2017). Pathview Web: user friendly pathway visualization and data integration. Nucleic Acids Research. 45(W1). W501–W508. 295 indexed citations
18.
Gruber, Helen E., Wei Sha, Cory Brouwer, et al.. (2014). A Novel Catechol-O-Methyltransferase Variant Associated with Human Disc Degeneration. International Journal of Medical Sciences. 11(7). 748–753. 13 indexed citations
19.
Luo, Weijun & Cory Brouwer. (2013). Pathview: an R/Bioconductor package for pathway-based data integration and visualization. Bioinformatics. 29(14). 1830–1831. 1483 indexed citations breakdown →
20.
Campbell, Stephen J., et al.. (2011). Visualizing the drug target landscape. Drug Discovery Today. 17. S3–S15. 5 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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