Brian C. Sauer

169 papers receiving 3.9k citations

Brian C. Sauer's Hit Papers

Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses 2016 · 591 citations
5910+3+6Years since publication100200300400500

Peers

Brian C. Sauer
Comparison fields: 5 of 146
  • Geriatrics and Gerontology 197
  • Applied Microbiology and Biotechnology 107
  • Rheumatology 671
  • Family Practice 68
  • Toxicology 124
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Andrew Fong Canada
Kevin Haynes United States
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Countries citing papers authored by Brian C. Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Brian C. Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Sauer. 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 Brian C. Sauer. The network helps show where Brian C. Sauer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses
Hit paper breakdown →
2016591
2 2002226
3 2012182
4 2011152
5 2015114
6 201290
7 202185
8 200585
9 201183
10 201480
11 201380
12 201580
13 202078
14 201765
15 201557
16
Adult use of prescription opioid pain medications - Utah, 2008.
201055
17 200850
18 201447
19 201943
20 199443

About Brian C. Sauer

Brian C. Sauer is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Epidemiology and Pathology and Forensic Medicine, having authored 179 papers that have together received 3.9k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (38 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Pharmaceutical Practices and Patient Outcomes (8 papers), Opioid Use Disorder Treatment (6 papers), Potassium and Related Disorders (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Biosimilars and Bioanalytical Methods (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Geriatrics and Gerontology (197 citations), Applied Microbiology and Biotechnology (107 citations), Rheumatology (671 citations), Family Practice (68 citations) and Toxicology (124 citations). Brian C. Sauer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Sonia Hernández–Dı́az, Miguel A. Hernán, Ian Shrier, Robert W. Platt, Ted R. Mikuls, Grant W. Cannon, Almut G. Winterstein, Charles D. Hepler, Bryant R. England and Joshua F. Baker. Their work appears in journals such as Arthritis Care & Research, Pharmacoepidemiology and Drug Safety, Annals of the Rheumatic Diseases, Seminars in Arthritis and Rheumatism and Medicine.

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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