Brian J. Akerley

4.6k citations

45 papers · 3.6k indexed · 1 hit paper · h-index 26

Co-authors: Jeffrey D. Gawronski John J. Mekalanos Jeff F. Miller Eric J. Rubin Sandy M. Wong David J. Lampe Christopher M. Sassetti Thomas R. Ioerger
Topics: Bacterial Infections and Vaccines (25 papers)RNA and protein synthesis mechanisms (14 papers)Bacterial Genetics and Biotechnology (13 papers)
Cited by: Microbiology Endocrinology Molecular Medicine
Journals: Cell Proceedings of the National Academy of Sciences The Journal of Immunology
Partner nations: United States China Mexico

In The Last Decade

Brian J. Akerley

45 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-Resolution Phenotypic Profiling Defines Genes Essential for Mycobacterial Growth and Cholesterol Catabolism

2011 795 citations Jeffrey D. Gawronski, Michael A. DeJesus et al. PLoS Pathogens profile →

Peers

Countries citing papers authored by Brian J. Akerley

Since Specialization

Citations

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

Fields of papers citing papers by Brian J. Akerley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian J. Akerley

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Akerley. A scholar is included among the top collaborators of Brian J. Akerley 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 J. Akerley. Brian J. Akerley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Copper Efflux System Required in Murine Lung Infection by Haemophilus influenzae Composed of a Canonical ATPase Gene and Tandem Chaperone Gene Copies 2023 ·Infection and Immunity ·Sandy M. Wong,Jeffrey D. Gawronski,Brian J. Akerley	5
2	Antigen-specific memory Th17 cells promote cross-protection against nontypeable Haemophilus influenzae after mild influenza A virus infection 2023 ·Mucosal Immunology ·Xinyun Zhang,(unknown),(unknown),Wenchao Li,Yong Li,Brian J. Akerley,(unknown),Wenhong Zhang,Hao Shen,Michael C. Abt	6
3	Sialic Acid Protects Nontypeable Haemophilus influenzae from Natural IgM and Promotes Survival in Murine Respiratory Tract 2021 ·Infection and Immunity ·(unknown),Sandy M. Wong,Brian J. Akerley	6
4	Suppression of Alternative Lipooligosaccharide Glycosyltransferase Activity by UDP-Galactose Epimerase Enhances Murine Lung Infection and Evasion of Serum IgM 2019 ·Frontiers in Cellular and Infection Microbiology ·Sandy M. Wong,(unknown),Brian J. Akerley	10
5	Defining the Binding Region in Factor H to Develop a Therapeutic Factor H-Fc Fusion Protein against Non-Typeable Haemophilus influenzae 2016 ·Frontiers in Cellular and Infection Microbiology ·Sandy M. Wong,Jutamas Shaughnessy,Sanjay Ram,Brian J. Akerley	27
6	Genome-wide fitness profiling reveals adaptations required by Haemophilus in coinfection with influenza A virus in the murine lung 2013 ·Proceedings of the National Academy of Sciences ·Sandy M. Wong,(unknown),Hao Shen,Brian J. Akerley	45
7	Genome-Scale Approaches to Identify Genes Essential for Haemophilus influenzae Pathogenesis 2012 ·Frontiers in Cellular and Infection Microbiology ·Sandy M. Wong,Brian J. Akerley	20
8	High-Throughput Insertion Tracking by Deep Sequencing for the Analysis of Bacterial Pathogens 2011 ·Methods in molecular biology ·Sandy M. Wong,Jeffrey D. Gawronski,David Lapointe,Brian J. Akerley	8
9	High-Resolution Phenotypic Profiling Defines Genes Essential for Mycobacterial Growth and Cholesterol Catabolismbreakdown → 2011 ·PLoS Pathogens ·(unknown),Jeffrey D. Gawronski,Michael A. DeJesus,Thomas R. Ioerger,Brian J. Akerley,Christopher M. Sassetti	795
10	Identification and Analysis of Essential Genes in Haemophilus influenzae 2008 ·Methods in molecular biology ·Sandy M. Wong,Brian J. Akerley	13
11	The ArcA regulon and oxidative stress resistance in Haemophilus influenzae 2007 ·Molecular Microbiology ·Sandy M. Wong,Kishore R. Alugupalli,Sanjay Ram,Brian J. Akerley	66
12	Environmental and genetic regulation of the phosphorylcholine epitope of Haemophilus influenzae lipooligosaccharide 2004 ·Molecular Microbiology ·Sandy M. Wong,Brian J. Akerley	18
13	Inducible expression system and marker-linked mutagenesis approach for functional genomics of Haemophilus influenzae 2003 ·Gene ·Sandy M. Wong,Brian J. Akerley	19
14	A genome-scale analysis for identification of genes required for growth or survival of Haemophilus influenzae 2002 ·Proceedings of the National Academy of Sciences ·Brian J. Akerley,Eric J. Rubin,(unknown),Kensey R. Amaya,(unknown),John J. Mekalanos	297
15	Analysis of gene function in bacterial pathogens by gambit 2002 ·Methods in enzymology on CD-ROM/Methods in enzymology ·Brian J. Akerley,David J. Lampe	26
16	Transposon mutagenesis of Campylobacter jejuni identifies a bipartite energy taxis system required for motility 2001 ·Molecular Microbiology ·David R. Hendrixson,Brian J. Akerley,Victor J. DiRita	167
17	Systematic identification of essential genes by in vitro mariner mutagenesis 1998 ·Proceedings of the National Academy of Sciences ·Brian J. Akerley,Eric J. Rubin,Andrew Camilli,David J. Lampe,Hugh M. Robertson,John J. Mekalanos	212
18	Understanding signal transduction during bacterial infection 1996 ·Trends in Microbiology ·Brian J. Akerley,(unknown)	27
19	Ectopic expression of the flagellar regulon alters development of the bordetella-host interaction 1995 ·Cell ·Brian J. Akerley,Peggy A. Cotter,Jeff F. Miller	214
20	Flagellin gene transcription in Bordetella bronchiseptica is regulated by the BvgAS virulence control system 1993 ·Journal of Bacteriology ·Brian J. Akerley,Jeff F. Miller	96

About Brian J. Akerley

Brian J. Akerley is a scholar working on Microbiology, Endocrinology and Genetics, having authored 45 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (25 papers), RNA and protein synthesis mechanisms (14 papers) and Bacterial Genetics and Biotechnology (13 papers). The work is most often cited by research in Microbiology (821 citations), Endocrinology (588 citations) and Molecular Medicine (303 citations). Brian J. Akerley has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Jeffrey D. Gawronski, John J. Mekalanos, Jeff F. Miller, Eric J. Rubin, Sandy M. Wong, David J. Lampe, Christopher M. Sassetti, Thomas R. Ioerger, Michael A. DeJesus and Peggy A. Cotter. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Immunology.

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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