Caitlyn L. Holmes

834 total citations
18 papers, 453 citations indexed

About

Caitlyn L. Holmes is a scholar working on Molecular Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Caitlyn L. Holmes has authored 18 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Medicine, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Caitlyn L. Holmes's work include Antibiotic Resistance in Bacteria (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers) and Vasculitis and related conditions (4 papers). Caitlyn L. Holmes is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers) and Vasculitis and related conditions (4 papers). Caitlyn L. Holmes collaborates with scholars based in United States and Denmark. Caitlyn L. Holmes's co-authors include Michael A. Bachman, Harry L. T. Mobley, Mark T. Anderson, Miriam A. Shelef, Mandar Bawadekar, John F. Kernien, Chad Johnson, Jeniel E. Nett, Christie M. Bartels and Ryan J. Rebernick and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Reviews Microbiology.

In The Last Decade

Caitlyn L. Holmes

17 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caitlyn L. Holmes United States 12 147 125 112 70 69 18 453
Win Win Maw Japan 12 97 0.7× 64 0.5× 116 1.0× 89 1.3× 115 1.7× 28 518
Nikhil N Kulkarni United States 11 94 0.6× 63 0.5× 120 1.1× 63 0.9× 15 0.2× 15 382
Shyh-Ren Chiang Taiwan 8 105 0.7× 97 0.8× 96 0.9× 65 0.9× 19 0.3× 10 368
Alejandro Mosquera Spain 10 55 0.4× 128 1.0× 272 2.4× 95 1.4× 130 1.9× 18 620
Martha Diaz-Torres United Kingdom 9 412 2.8× 99 0.8× 250 2.2× 65 0.9× 15 0.2× 10 941
Teng‐Yi Lin Taiwan 16 25 0.2× 80 0.6× 144 1.3× 87 1.2× 87 1.3× 34 589
Elisabetta Ugolotti Italy 12 94 0.6× 35 0.3× 104 0.9× 65 0.9× 16 0.2× 33 353
Seyedesomaye Jasemi Italy 11 28 0.2× 37 0.3× 209 1.9× 68 1.0× 15 0.2× 29 393
Elizabeth Barker United States 4 23 0.2× 53 0.4× 93 0.8× 96 1.4× 31 0.4× 7 375
Youhong Fang China 11 42 0.3× 79 0.6× 50 0.4× 62 0.9× 18 0.3× 36 349

Countries citing papers authored by Caitlyn L. Holmes

Since Specialization
Citations

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

Fields of papers citing papers by Caitlyn L. Holmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlyn L. Holmes. 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 Caitlyn L. Holmes. The network helps show where Caitlyn L. Holmes may publish in the future.

Co-authorship network of co-authors of Caitlyn L. Holmes

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

All Works

18 of 18 papers shown
1.
Pirani, Ali, et al.. (2025). Klebsiella pneumoniae evolution in the gut leads to spontaneous capsule loss and decreased virulence potential. mBio. 16(5). e0236224–e0236224. 3 indexed citations
2.
Holmes, Caitlyn L., et al.. (2025). Arginine regulates the mucoid phenotype of hypervirulent Klebsiella pneumoniae. Nature Communications. 16(1). 5875–5875. 2 indexed citations
3.
Holmes, Caitlyn L., et al.. (2025). Patterns of Klebsiella pneumoniae bacteremic dissemination from the lung. Nature Communications. 16(1). 785–785. 4 indexed citations
4.
Holmes, Caitlyn L., Owen Albin, Harry L. T. Mobley, & Michael A. Bachman. (2024). Bloodstream infections: mechanisms of pathogenesis and opportunities for intervention. Nature Reviews Microbiology. 23(4). 210–224. 23 indexed citations
5.
6.
Mobley, Harry L. T., Mark T. Anderson, Geoffrey B. Severin, et al.. (2024). Fitness factor genes conserved within the multi-species core genome of Gram-negative Enterobacterales species contribute to bacteremia pathogenesis. PLoS Pathogens. 20(8). e1012495–e1012495. 2 indexed citations
7.
Holmes, Caitlyn L.. (2023). mSphere of Influence: Coordinating effective clearance of bacterial bloodstream infections. mSphere. 8(6). e0052123–e0052123.
8.
Holmes, Caitlyn L., Valerie S. Forsyth, Sara N. Smith, et al.. (2023). Klebsiella pneumoniae causes bacteremia using factors that mediate tissue-specific fitness and resistance to oxidative stress. PLoS Pathogens. 19(7). e1011233–e1011233. 16 indexed citations
9.
Holmes, Caitlyn L., Sara N. Smith, Stephen J. Gurczynski, et al.. (2022). The ADP-Heptose Biosynthesis Enzyme GmhB is a Conserved Gram-Negative Bacteremia Fitness Factor. Infection and Immunity. 90(7). e0022422–e0022422. 12 indexed citations
10.
Vornhagen, Jay, Emily Roberts, Ryan Crawford, et al.. (2022). Combined comparative genomics and clinical modeling reveals plasmid-encoded genes are independently associated with Klebsiella infection. Nature Communications. 13(1). 4459–4459. 14 indexed citations
11.
Vornhagen, Jay, Christine M. Bassis, Srividya Ramakrishnan, et al.. (2021). A plasmid locus associated with Klebsiella clinical infections encodes a microbiome-dependent gut fitness factor. PLoS Pathogens. 17(4). e1009537–e1009537. 27 indexed citations
12.
Holmes, Caitlyn L., Mark T. Anderson, Harry L. T. Mobley, & Michael A. Bachman. (2021). Pathogenesis of Gram-Negative Bacteremia. Clinical Microbiology Reviews. 34(2). 153 indexed citations
13.
Sun, Bo, Hui‐Hsin Chang, Ari J. Salinger, et al.. (2019). Reciprocal regulation of Th2 and Th17 cells by PAD2-mediated citrullination. JCI Insight. 4(22). 36 indexed citations
14.
Bawadekar, Mandar, et al.. (2019). Reduced Anti-Histone Antibodies and Increased Risk of Rheumatoid Arthritis Associated with a Single Nucleotide Polymorphism in PADI4 in North Americans. International Journal of Molecular Sciences. 20(12). 3093–3093. 15 indexed citations
15.
Holmes, Caitlyn L., et al.. (2019). Reduced IgG titers against pertussis in rheumatoid arthritis: Evidence for a citrulline-biased immune response and medication effects. PLoS ONE. 14(5). e0217221–e0217221. 11 indexed citations
16.
Bawadekar, Mandar, Caitlyn L. Holmes, Irene M. Ong, et al.. (2019). Disordered Antigens and Epitope Overlap Between Anti–Citrullinated Protein Antibodies and Rheumatoid Factor in Rheumatoid Arthritis. Arthritis & Rheumatology. 72(2). 262–272. 19 indexed citations
17.
Holmes, Caitlyn L., et al.. (2019). Insight into Neutrophil Extracellular Traps through Systematic Evaluation of Citrullination and Peptidylarginine Deiminases. Journal of Immunology Research. 2019. 1–11. 54 indexed citations
18.
Rebernick, Ryan J., Christopher Glover, Mandar Bawadekar, et al.. (2018). DNA Area and NETosis Analysis (DANA): a High-Throughput Method to Quantify Neutrophil Extracellular Traps in Fluorescent Microscope Images. Biological Procedures Online. 20(1). 7–7. 44 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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