Ryan Peterson

49 papers receiving 1.0k citations

Ryan Peterson's Hit Papers

Ordered quantile normalization: a semiparametric transformation built for the cross-validation era 2019 · 406 citations
4060+2+4Years since publication100200300400

Peers

Ryan Peterson
Comparison fields: 5 of 167
  • Clinical Biochemistry 115
  • Applied Microbiology and Biotechnology 11
  • Critical Care and Intensive Care Medicine 25
  • Infectious Diseases 77
  • Health 28
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Vanja Dukić United States
Bernd Brinkmann Germany
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Citations per year

Countries citing papers authored by Ryan Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryan Peterson, 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 Ryan Peterson Line = papers co-authored together Ryan Peterson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ordered quantile normalization: a semiparametric transformation built for the cross-validation era
Hit paper breakdown →
2019406
2 2008113
3 201762
4 202057
5 201846
6 201735
7 201732
8 201929
9 201727
10 202118
11 202111
12 202311
13 202210
14 202210
15 202010
16 20219
17 20229
18 20229
19 20199
20 20228

About Ryan Peterson

Ryan Peterson is a scholar working on Critical Care and Intensive Care Medicine, Physical Therapy, Sports Therapy and Rehabilitation, Statistics and Probability, Neurology and Health, having authored 61 papers that have together received 1.0k indexed citations. Recurring topics across this work include Older Adults Driving Studies (6 papers), Intensive Care Unit Cognitive Disorders (5 papers), Statistical Methods and Inference (4 papers), Statistical Methods and Bayesian Inference (3 papers), Gun Ownership and Violence Research (3 papers), COVID-19 Clinical Research Studies (2 papers), Transplantation: Methods and Outcomes (2 papers) and Surgical site infection prevention (2 papers). The work is most often cited by research in Clinical Biochemistry (115 citations), Applied Microbiology and Biotechnology (11 citations), Critical Care and Intensive Care Medicine (25 citations), Infectious Diseases (77 citations) and Health (28 citations). Ryan Peterson has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Joseph Cavanaugh, Philip M. Polgreen, Linnea A. Polgreen, Daniel K. Sewell, Chris A. Anthony, Juan Pablo Wisnivesky, Fernando Holguín, Alex D. Federman, Joan E. Barenfanger and Steven J. Verhulst. Their work appears in journals such as CHEST Journal, Journal of Applied Gerontology, Critical Care Medicine, Annals of the American Thoracic Society and Injury Epidemiology.

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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