Brian P. Brunk
Impact in
- Parasitology top 1%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Muscle Physiology and Disorders
- Developmental Biology and Gene Regulation
Papers in
-
- Genomics and Phylogenetic Studies 11
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 4
- Machine Learning in Bioinformatics 3
- Genomics and Chromatin Dynamics 3
- Genetics 5
- Co-authors
- Christian J. Stoeckert (12 shared papers)David S. Roos (8 shared papers)Charles P. Emerson (3 shared papers)Paul N. Adler (4 shared papers)G. Christian Overton (6 shared papers)John Iodice (3 shared papers)Ihor R. Lemischka (2 shared papers)Kateri Moore (2 shared papers)
- Journals
- Nucleic Acids Research (5 papers)Bioinformatics (4 papers)Genome Research (3 papers)Genetics (2 papers)Development (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Brian P. Brunk
31 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 128
- Parasitology 543
- Molecular Biology 2.2k
- Hematology 220
- Genetics 161
- Aging 26
Countries citing papers authored by Brian P. Brunk
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
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-authors
The 25 scholars most cited alongside Brian P. Brunk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 365 | |
| 2 | 2011 | 344 | |
| 3 | 2000 | 323 | |
| 4 | 2011 | 256 | |
| 5 | 2011 | 247 | |
| 6 | 1999 | 224 | |
| 7 | 2002 | 193 | |
| 8 | 1991 | 174 | |
| 9 | 2002 | 171 | |
| 10 | 1995 | 157 | |
| 11 | 1998 | 129 | |
| 12 | 2001 | 111 | |
| 13 | 2008 | 96 | |
| 14 | 1996 | 84 | |
| 15 | 2016 | 81 | |
| 16 | 2002 | 74 | |
| 17 | 1989 | 46 | |
| 18 | 2017 | 35 | |
| 19 | 1991 | 32 | |
| 20 | 2001 | 30 |
About Brian P. Brunk
Brian P. Brunk is a scholar working on Molecular Biology, Genetics, Epidemiology, Plant Science and Parasitology, having authored 31 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (4 papers), Toxoplasma gondii Research Studies (4 papers), Gene expression and cancer classification (4 papers), Machine Learning in Bioinformatics (3 papers), Bacteriophages and microbial interactions (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Parasitology (543 citations), Molecular Biology (2.2k citations), Hematology (220 citations), Genetics (161 citations) and Aging (26 citations). Brian P. Brunk has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Christian J. Stoeckert, David S. Roos, Charles P. Emerson, Paul N. Adler, G. Christian Overton, John Iodice, Ihor R. Lemischka, Kateri Moore, Xin Gao and Jonathan Schug. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Genome Research, Genetics and Development.
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.