Danyel Olson

1.9k total citations · 1 hit paper
8 papers, 554 citations indexed

About

Danyel Olson is a scholar working on Infectious Diseases, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Danyel Olson has authored 8 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Epidemiology and 5 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Danyel Olson's work include Clostridium difficile and Clostridium perfringens research (7 papers), Microscopic Colitis (7 papers) and Nosocomial Infections in ICU (5 papers). Danyel Olson is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (7 papers), Microscopic Colitis (7 papers) and Nosocomial Infections in ICU (5 papers). Danyel Olson collaborates with scholars based in United States and Uganda. Danyel Olson's co-authors include Helen Johnston, Lisa G. Winston, Dale N. Gerding, Alice Guh, Maria Karlsson, Monica M. Farley, Ghinwa Dumyati, L. Clifford McDonald, Zintars G. Beldavs and Erin C. Phipps and has published in prestigious journals such as New England Journal of Medicine, Emerging infectious diseases and Journal of General Internal Medicine.

In The Last Decade

Danyel Olson

6 papers receiving 541 citations

Hit Papers

Trends in U.S. Burden of Clostridioides difficile Infecti... 2020 2026 2022 2024 2020 100 200 300 400 500
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.

  1. Trends in U.S. Burden of Clostridioides difficile Infection and Outcomes
    2020 529 citations Alice Guh, Yi Mu et al. New England Journal of Medicine profile →

Peers

Danyel Olson
Andrew M Skinner United States
Michelle Cairns United Kingdom
K. Morris United Kingdom
Georgina Davis United Kingdom
Michelle M. Merrigan United States
Jill A. Mogle United States
Jessica L. Schlackman United States
Anilrudh A. Venugopal United States
Travis J Carlson United States
Kristin Nagaro United States
Andrew M Skinner United States
Danyel Olson
Citations per year, relative to Danyel Olson Danyel Olson (= 1×) peers Andrew M Skinner

Countries citing papers authored by Danyel Olson

Since Specialization
Citations

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

Fields of papers citing papers by Danyel Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danyel Olson. 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 Danyel Olson. The network helps show where Danyel Olson may publish in the future.

Co-authorship network of co-authors of Danyel Olson

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

All Works

8 of 8 papers shown
1.
Currie, Dustin W., Joseph D. Lutgring, Sophia V. Kazakova, et al.. (2025). Comparison of Medicare claims-based Clostridioides difficile infection epidemiologic case classification algorithms to medical record review by the Emerging Infections Program using a linked cohort, 2016–2021. Infection Control and Hospital Epidemiology. 46(5). 488–496.
2.
Guh, Alice, Scott K. Fridkin, Lisa G. Winston, et al.. (2024). Potential underreporting of treated patients using a Clostridioides difficile testing algorithm that screens with a nucleic acid amplification test. Infection Control and Hospital Epidemiology. 45(5). 590–598. 4 indexed citations
3.
Clogher, Paula, et al.. (2023). Trends in and Risk Factors for Recurrent Clostridioides difficile Infection, New Haven County, Connecticut, USA, 2015–2020. Emerging infectious diseases. 29(5). 10 indexed citations
4.
Marder, Ellyn, Zhaohui Cui, Bonnie Bruce, et al.. (2023). Risk Factors for Non-O157 Shiga Toxin–Producing Escherichia coli Infections, United States. Emerging infectious diseases. 29(6). 1183–1190. 6 indexed citations
5.
Olson, Danyel, et al.. (2020). Evaluation of Connecticut medical providers’ concordance with 2017 IDSA/SHEA Clostridioides difficile treatment guidelines in New Haven County, 2018–2019. Infection Control and Hospital Epidemiology. 42(5). 549–556. 1 indexed citations
6.
Guh, Alice, Yi Mu, Lisa G. Winston, et al.. (2020). Trends in U.S. Burden of Clostridioides difficile Infection and Outcomes. New England Journal of Medicine. 382(14). 1320–1330. 529 indexed citations breakdown →
7.
Novosad, Shannon, Yi Mu, Lisa G. Winston, et al.. (2019). Treatment of Clostridioides difficile Infection and Non-compliance with Treatment Guidelines in Adults in 10 US Geographical Locations, 2013–2015. Journal of General Internal Medicine. 35(2). 412–419. 4 indexed citations
8.
Hatfield, Kelly M, James Baggs, Lisa G. Winston, et al.. (2019). 837. Prior Hospitalizations Among Cases of Community-Associated Clostridioides difficile Infection—10 US States, 2014–2015. Open Forum Infectious Diseases. 6(Supplement_2). S9–S10.

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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