Casey E. Hofstaedter

1.6k total citations · 1 hit paper
17 papers, 757 citations indexed

About

Casey E. Hofstaedter is a scholar working on Molecular Biology, Molecular Medicine and Epidemiology. According to data from OpenAlex, Casey E. Hofstaedter has authored 17 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Molecular Medicine and 4 papers in Epidemiology. Recurrent topics in Casey E. Hofstaedter's work include Antibiotic Resistance in Bacteria (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Genomics and Phylogenetic Studies (3 papers). Casey E. Hofstaedter is often cited by papers focused on Antibiotic Resistance in Bacteria (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Genomics and Phylogenetic Studies (3 papers). Casey E. Hofstaedter collaborates with scholars based in United States, Czechia and Australia. Casey E. Hofstaedter's co-authors include Frederic D. Bushman, Erik Clarke, Kyle Bittinger, Lisa M. Mattei, Scott Sherrill-Mix, Ronald G. Collman, Abigail Lauder, Judith R. Kelsen, Dorothy Kim and Ceylan Tanes and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Casey E. Hofstaedter

15 papers receiving 755 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.

Optimizing methods and dodging pitfalls in microbiome research

2017 386 citations Dorothy Kim, Casey E. Hofstaedter et al. Microbiome profile →

Peers

Casey E. Hofstaedter

EPIDE

PHYSI

MICRO

Abigail Lauder United States

Erik Clarke United States

Sara M. Sandrini United Kingdom

Matthew R. Hayward Germany

Máire Conrad United States

Rita Leite United States

Louis J. Taylor United States

Floriana Santangelo Italy

Caroline Michelle France

Liisa Lehtoranta Finland

Abigail Lauder United States

Casey E. Hofstaedter

505 ×1.2

171 ×1.0

EPIDE

123 ×1.2

85 ×1.0

PHYSI

92 ×1.1

MICRO

Citations per year, relative to Casey E. Hofstaedter Casey E. Hofstaedter (= 1×) peers Abigail Lauder

Countries citing papers authored by Casey E. Hofstaedter

Since Specialization

Citations

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

Fields of papers citing papers by Casey E. Hofstaedter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey E. Hofstaedter. 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 Casey E. Hofstaedter. The network helps show where Casey E. Hofstaedter may publish in the future.

Co-authorship network of co-authors of Casey E. Hofstaedter

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

All Works

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17 of 17 papers shown

Hofstaedter, Casey E., Ling Wu, Sunny Shin, et al.. (2024). Pseudomonas aeruginosa Lipid A Structural Variants Induce Altered Immune Responses. American Journal of Respiratory Cell and Molecular Biology. 71(2). 207–218. 5 indexed citations

Hofstaedter, Casey E., Hyojik Yang, Dina A. Moustafa, et al.. (2024). Characterization of Pseudomonas aeruginosa from subjects with diffuse panbronchiolitis. Microbiology Spectrum. 12(11). e0053024–e0053024. 1 indexed citations

Scott, Alison, Shane R. Ellis, Casey E. Hofstaedter, Ron M. A. Heeren, & Robert K. Ernst. (2023). Spatial lipidomics reveals biased phospholipid remodeling in acute Pseudomonas lung infection. iScience. 26(9). 107700–107700. 1 indexed citations

Hofstaedter, Casey E., et al.. (2023). Asymptomatic Esophageal Eosinophilia in an 11‐Year‐Old with Severe Persistent Asthma. SHILAP Revista de lepidopterología. 2023(1). 6678918–6678918.

Tomlinson, Kira L., Alex Junker, Tania Wong Fok Lung, et al.. (2023). Ketogenesis promotes tolerance to Pseudomonas aeruginosa pulmonary infection. Cell Metabolism. 35(10). 1767–1781.e6. 17 indexed citations

Chandler, Courtney E., Casey E. Hofstaedter, Tracy H. Hazen, David A. Rasko, & Robert K. Ernst. (2023). Genomic and Functional Characterization of Longitudinal Pseudomonas aeruginosa Isolates from Young Patients with Cystic Fibrosis. Microbiology Spectrum. 11(4). e0155623–e0155623. 6 indexed citations

Hofstaedter, Casey E., et al.. (2023). In-Hospital Newborn Falls and Suffocation Associated With Parental Drug-Related Fatigue. Clinical Pediatrics. 62(9). 969–972.

Hofstaedter, Casey E., Courtney E. Chandler, Joseph J. Gillespie, et al.. (2023). Divergent Pseudomonas aeruginosa LpxO enzymes perform site-specific lipid A 2-hydroxylation. mBio. 15(2). e0282323–e0282323. 8 indexed citations

Nordstrom, Hayley R., Daniel R. Evans, Paula F. Zamora, et al.. (2022). Genomic characterization of lytic bacteriophages targeting genetically diverse Pseudomonas aeruginosa clinical isolates. iScience. 25(6). 104372–104372. 24 indexed citations

10.

Hofstaedter, Casey E., et al.. (2022). Remodeling of Lipid A in Pseudomonas syringae pv. phaseolicola In Vitro. International Journal of Molecular Sciences. 23(4). 1996–1996. 6 indexed citations

11.

Ahn, Danielle, Thomas H. McConville, Medini K. Annavajhala, et al.. (2021). An acquired acyltransferase promotes Klebsiella pneumoniae ST258 respiratory infection. Cell Reports. 35(9). 109196–109196. 16 indexed citations

12.

Gu, Christopher, Chunyu Zhao, Casey E. Hofstaedter, et al.. (2020). Investigating hospital Mycobacterium chelonae infection using whole genome sequencing and hybrid assembly. PLoS ONE. 15(11). e0236533–e0236533. 5 indexed citations

13.

Han, Jennifer, Zena Lapp, Frederic D. Bushman, et al.. (2019). Whole-Genome Sequencing To Identify Drivers of Carbapenem-Resistant Klebsiella pneumoniae Transmission within and between Regional Long-Term Acute-Care Hospitals. Antimicrobial Agents and Chemotherapy. 63(11). 19 indexed citations

14.

Clarke, Erik, Andrew Connell, Emmanuelle Six, et al.. (2018). T cell dynamics and response of the microbiota after gene therapy to treat X-linked severe combined immunodeficiency. Genome Medicine. 10(1). 70–70. 27 indexed citations

15.

Leiby, Jacob S., Kevin McCormick, Scott Sherrill-Mix, et al.. (2018). Lack of detection of a human placenta microbiome in samples from preterm and term deliveries. Microbiome. 6(1). 196–196. 180 indexed citations

16.

Clarke, Erik, Abigail Lauder, Casey E. Hofstaedter, et al.. (2017). Microbial Lineages in Sarcoidosis. A Metagenomic Analysis Tailored for Low–Microbial Content Samples. American Journal of Respiratory and Critical Care Medicine. 197(2). 225–234. 56 indexed citations

17.

Kim, Dorothy, Casey E. Hofstaedter, Chunyu Zhao, et al.. (2017). Optimizing methods and dodging pitfalls in microbiome research. Microbiome. 5(1). 52–52. 386 indexed citations breakdown →

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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