R. Phillip Dellinger

10.2k total citations
22 papers, 221 citations indexed

About

R. Phillip Dellinger is a scholar working on Epidemiology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, R. Phillip Dellinger has authored 22 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in General Health Professions and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in R. Phillip Dellinger's work include Sepsis Diagnosis and Treatment (7 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Healthcare cost, quality, practices (2 papers). R. Phillip Dellinger is often cited by papers focused on Sepsis Diagnosis and Treatment (7 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Healthcare cost, quality, practices (2 papers). R. Phillip Dellinger collaborates with scholars based in United States, Belgium and Germany. R. Phillip Dellinger's co-authors include Vinay Sharma, Joseph E. Parrillo, Nidhi Jindal, Jean‐Louis Vincent, Stephen Trzeciak, Steven G. Simonson, Shuang Wang, John C. Marshall, Kalpalatha K. Guntupalli and Mitchell M. Levy and has published in prestigious journals such as Critical Care Medicine, Clinical Therapeutics and Shock.

In The Last Decade

R. Phillip Dellinger

20 papers receiving 215 citations

Peers

R. Phillip Dellinger
Comparison fields: 5 of 72
  • Epidemiology 83
  • Emergency Medicine 59
  • Surgery 35
  • Immunology 31
  • Pulmonary and Respiratory Medicine 29
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Citations per field, relative to R. Phillip Dellinger
R. Phillip Dellinger · 1×
Citations per year, relative to R. Phillip Dellinger
R. Phillip Dellinger · 1×

Countries citing papers authored by R. Phillip Dellinger

Since Specialization
Citations

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

Fields of papers citing papers by R. Phillip Dellinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Phillip Dellinger. 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 R. Phillip Dellinger. The network helps show where R. Phillip Dellinger may publish in the future.

Co-authorship network of co-authors of R. Phillip Dellinger

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3
Using Machine Learning as a Precision Medicine Approach for Remdesivir and Corticosteroids as COVID-19 Pharmacotherapies
1
4 6
5 27
6 39
7 18
8 3
9 1
10 6
11 2
12 32
13 22
14 11
15 1
16 20
17 17
18 2
19 3
20 2

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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2026