Brian P. Brunk

9.5k citations
31 papers · 3.3k indexed · h-index 21
    • Toxoplasma gondii Research Studies 4
    • Genomics and Phylogenetic Studies 11
    • Bioinformatics and Genomic Networks 4
    • RNA and protein synthesis mechanisms 4
    • Gene expression and cancer classification 4
    • Machine Learning in Bioinformatics 3
  • Hematology top 5%
  • Genetics top 5%
  • Aging top 10%
    • Bacteriophages and microbial interactions 3
    • Herpesvirus Infections and Treatments 3

Brian P. Brunk

31 papers receiving 3.2k citations

Peers

Brian P. Brunk
Comparison fields: 5 of 128
  • Parasitology 543
  • Molecular Biology 2.2k
  • Hematology 220
  • Genetics 161
  • Aging 26
Replace M. van der Ploeg with:
M. van der Ploeg Netherlands
Diane G. Edmondson United States
Michał Okoniewski Switzerland
Émmanuelle Nicolas United States
Nicole Cloonan Australia
Weimin Zhong United States
Jonathan H. LeBowitz United States
Cei Abreu‐Goodger Mexico
Daniel Nilsson Sweden
Gudula Schmidt Germany
Brian P. Brunk relative to M. van der Ploeg Netherlands M. van der Ploeg's profile →
Citations per field
00.5×10×12.6×
M. van der Ploeg · 1×
Citations per year

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

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.

Border = papers with Brian P. Brunk Line = papers co-authored together Brian P. Brunk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201735
2 201681
3 20159
4 2011256
5 20118
6 200818
7 2007365
8 200618
9 200315
10 2002171
11 200274
12 2002193
13 200130
14 20012
15 19998
16 1998129
17 199684
18 1991174
19 199132
20 199014

About Brian P. Brunk

Brian P. Brunk is a scholar working on Parasitology, Developmental Biology and Molecular Biology, having authored 31 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Bioinformatics and Genomic Networks (4 papers), Toxoplasma gondii Research Studies (4 papers), RNA and protein synthesis mechanisms (4 papers), Gene expression and cancer classification (4 papers), Machine Learning in Bioinformatics (3 papers), Bacteriophages and microbial interactions (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Parasitology (543 citations), Molecular Biology (2.2k citations) and Hematology (220 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, Kateri Moore, Ihor R. Lemischka, 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.

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