Brian C. Sauer

171 papers receiving 4.3k citations

Brian C. Sauer's Hit Papers

Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses 2016 · 716 citations
7160+3+6Years since publication200400600

Peers

Brian C. Sauer
Comparison fields: 5 of 148
  • Geriatrics and Gerontology 208
  • Applied Microbiology and Biotechnology 119
  • Rheumatology 733
  • Family Practice 76
  • Toxicology 132
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Kevin Haynes United States
Andrew Timothy Fong Canada
Richard J. Willke United States
Prabath W.B. Nanayakkara Netherlands
Joseph A. Delaney United States
Swu‐Jane Lin United States
Sigrún Alba Jóhannesdóttir Schmidt Denmark
Natalie Staplin United Kingdom
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Citations per field
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Kevin Haynes · 1×
Citations per year

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 177 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 →
2016716
2 2002232
3 2012195
4 2011158
5 2015125
6 202194
7 201292
8 200590
9 201490
10 201590
11 202090
12 201186
13 201384
14 201477
15 201769
16 201567
17
Adult use of prescription opioid pain medications - Utah, 2008.
201058
18 200854
19 199453
20 201449

About Brian C. Sauer

Brian C. Sauer is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine, Geriatrics and Gerontology, Critical Care and Intensive Care Medicine and Public Health, Environmental and Occupational Health, having authored 177 papers that have together received 4.5k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (39 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Pharmaceutical Practices and Patient Outcomes (7 papers), Opioid Use Disorder Treatment (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Potassium and Related Disorders (5 papers), Advanced Causal Inference Techniques (5 papers) and Orthopedic Surgery and Rehabilitation (4 papers). The work is most often cited by research in Geriatrics and Gerontology (208 citations), Applied Microbiology and Biotechnology (119 citations), Rheumatology (733 citations), Family Practice (76 citations) and Toxicology (132 citations). Brian C. Sauer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Sonia Hernández–Dı́az, Ian Shrier, Miguel Ángel Hernán, Robert William Platt, Ted R. Mikuls, Grant W. Cannon, Almut Gertrud Winterstein, Bryant R. England, Charles D. Hepler and Joshua F. Baker. Their work appears in journals such as Arthritis Care & Research, Pharmacoepidemiology and Drug Safety, Arthritis & Rheumatology, Medicine and Seminars in Arthritis and Rheumatism.

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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