Brian P. Brunk

9.5k total citations
31 papers, 3.3k citations indexed

About

Brian P. Brunk is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Brian P. Brunk has authored 31 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Brian P. Brunk's work include Genomics and Phylogenetic Studies (11 papers), Bioinformatics and Genomic Networks (4 papers) and Toxoplasma gondii Research Studies (4 papers). Brian P. Brunk is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Bioinformatics and Genomic Networks (4 papers) and Toxoplasma gondii Research Studies (4 papers). Brian P. Brunk collaborates with scholars based in United States, United Kingdom and France. Brian P. Brunk's co-authors include Christian J. Stoeckert, David S. Roos, Charles P. Emerson, Paul N. Adler, G. Christian Overton, John Iodice, Kateri Moore, Ihor R. Lemischka, Xin Gao and Jonathan Schug and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Brian P. Brunk

31 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian P. Brunk United States 21 2.2k 543 465 404 345 31 3.3k
Diane G. Edmondson United States 29 6.0k 2.8× 159 0.3× 303 0.7× 437 1.1× 880 2.6× 50 7.1k
Robert C. Orchard United States 22 2.7k 1.2× 130 0.2× 453 1.0× 272 0.7× 703 2.0× 45 4.1k
M. van der Ploeg Netherlands 41 2.5k 1.2× 223 0.4× 869 1.9× 1.0k 2.6× 1.4k 3.9× 102 4.9k
Michał Okoniewski Switzerland 29 2.0k 0.9× 187 0.3× 193 0.4× 325 0.8× 331 1.0× 59 3.3k
Cei Abreu‐Goodger Mexico 35 4.0k 1.9× 267 0.5× 159 0.3× 820 2.0× 538 1.6× 67 5.7k
Daniel Nilsson Sweden 28 1.2k 0.6× 151 0.3× 520 1.1× 182 0.5× 368 1.1× 87 2.2k
Frédéric Schütz Switzerland 24 1.8k 0.8× 94 0.2× 274 0.6× 339 0.8× 612 1.8× 38 3.2k
Susanne Fischer Germany 24 937 0.4× 230 0.4× 160 0.3× 145 0.4× 248 0.7× 50 2.2k
Jonathan H. LeBowitz United States 29 2.7k 1.3× 103 0.2× 999 2.1× 269 0.7× 1.1k 3.2× 50 4.2k
Joanna M. Bridger United Kingdom 30 3.3k 1.5× 209 0.4× 62 0.1× 685 1.7× 649 1.9× 78 3.9k

Countries citing papers authored by Brian P. Brunk

Since Specialization
Citations

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

Fields of papers citing papers by Brian P. Brunk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian P. Brunk. 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 Brian P. Brunk. The network helps show where Brian P. Brunk may publish in the future.

Co-authorship network of co-authors of Brian P. Brunk

This figure shows the co-authorship network connecting the top 25 collaborators of Brian P. Brunk. A scholar is included among the top collaborators of Brian P. Brunk 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 Brian P. Brunk. Brian P. Brunk 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.
Brestelli, John, Jie Zheng, John Iodice, et al.. (2017). MicrobiomeDB: a systems biology platform for integrating, mining and analyzing microbiome experiments. Nucleic Acids Research. 46(D1). D684–D691. 35 indexed citations
2.
Steinbiss, Sascha, Fátima Silva-Franco, Brian P. Brunk, et al.. (2016). Companion: a web server for annotation and analysis of parasite genomes. Nucleic Acids Research. 44(W1). W29–W34. 81 indexed citations
3.
Warren, Andrew, Cristina Aurrecoechea, Brian P. Brunk, et al.. (2015). RNA-Rocket: an RNA-Seq analysis resource for infectious disease research. Bioinformatics. 31(9). 1496–1498. 9 indexed citations
4.
Stajich, Jason, Todd Harris, Brian P. Brunk, et al.. (2011). FungiDB: an integrated functional genomics database for fungi. Nucleic Acids Research. 40(D1). D675–D681. 256 indexed citations
5.
Fischer, Stefanie, Cristina Aurrecoechea, Brian P. Brunk, et al.. (2011). The strategies WDK: a graphical search interface and web development kit for functional genomics databases. Database. 2011(0). bar027–bar027. 8 indexed citations
6.
Zhang, Xiao‐Ning, Yingjie Wu, John W. Tobias, et al.. (2008). HFR1 Is Crucial for Transcriptome Regulation in the Cryptochrome 1-Mediated Early Response to Blue Light in Arabidopsis thaliana. PLoS ONE. 3(10). e3563–e3563. 18 indexed citations
7.
Gajria, Bindu, Amit Bahl, John Brestelli, et al.. (2007). ToxoDB: an integrated Toxoplasma gondii database resource. Nucleic Acids Research. 36(Database). D553–D556. 365 indexed citations
8.
Mager, Jesse, Richard M. Schultz, Brian P. Brunk, & Marisa S. Bartolomei. (2006). Identification of candidate maternal-effect genes through comparison of multiple microarray data sets. Mammalian Genome. 17(9). 941–949. 18 indexed citations
9.
Zhu, Yunxia, Benjamin L. King, Brian P. Brunk, et al.. (2003). Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database. Genome biology. 4(2). R16–R16. 15 indexed citations
10.
Hackney, Jason A., Pierre Charbord, Brian P. Brunk, et al.. (2002). A molecular profile of a hematopoietic stem cell niche. Proceedings of the National Academy of Sciences. 99(20). 13061–13066. 171 indexed citations
11.
Schug, Jonathan, et al.. (2002). Predicting Gene Ontology Functions from ProDom and CDD Protein Domains. Genome Research. 12(4). 648–655. 74 indexed citations
12.
Hemby, Scott E., Stephen D. Ginsberg, Brian P. Brunk, et al.. (2002). Gene Expression Profile for Schizophrenia. Archives of General Psychiatry. 59(7). 631–631. 193 indexed citations
13.
Stoeckert, C. J., Angel Pizarro, Elisabetta Manduchi, et al.. (2001). A relational schema for both array-based and SAGE gene expression experiments. Bioinformatics. 17(4). 300–308. 30 indexed citations
14.
Crabtree, Jonathan, Tim Wiltshire, Brian P. Brunk, et al.. (2001). High-Resolution BAC-Based Map of the Central Portion of Mouse Chromosome 5. Genome Research. 11(10). 1746–1757. 2 indexed citations
15.
Crabtree, Jonathan, et al.. (1999). bioWidgets: data interaction components for genomics.. Bioinformatics. 15(10). 837–846. 8 indexed citations
16.
Ajioka, James W., John C. Boothroyd, Brian P. Brunk, et al.. (1998). Gene Discovery by EST Sequencing inToxoplasma gondiiReveals Sequences Restricted to the Apicomplexa. Genome Research. 8(1). 18–28. 129 indexed citations
17.
Brunk, Brian P., David J. Goldhamer, & Charles P. Emerson. (1996). Regulated Demethylation of themyoDDistal Enhancer during Skeletal Myogenesis. Developmental Biology. 177(2). 490–503. 84 indexed citations
18.
19.
Brunk, Brian P., et al.. (1991). Drosophila genes Posterior Sex Combs and Suppressor two of zeste encode proteins with homology to the murine bmi-1 oncogene. Nature. 353(6342). 351–353. 174 indexed citations
20.
Brunk, Brian P. & Paul N. Adler. (1990). Aristapedioid: a gain of function, homeotic mutation in Drosophila melanogaster.. Genetics. 124(1). 145–156. 14 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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