Christopher Blanchette

1.1k citations
15 papers · 788 · 1 hit paper · h-index 11

Impact in

Papers in

Christopher Blanchette

14 papers receiving 777 citations

Christopher Blanchette's Hit Papers

Use of Stabilized Inverse Propensity Scores as Weights to Directly Estimate Relative Risk and Its Confidence Intervals 2009 · 545 citations
5450+5+11Years since publication100200300400500

Peers

Christopher Blanchette
Comparison fields: 5 of 119
  • Internal Medicine 39
  • Statistics and Probability 62
  • Family Practice 15
  • Cardiology and Cardiovascular Medicine 141
  • Pulmonary and Respiratory Medicine 146
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Oren Levine Canada
L Parsons United Kingdom
Arin L. Madenci United States
Lucie Opatrny Canada
Yongling Xiao United States
Gianni Turcato Italy
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C McLeod United Kingdom
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Countries citing papers authored by Christopher Blanchette

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Blanchette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Use of Stabilized Inverse Propensity Scores as Weights to Directly Estimate Relative Risk and Its Confidence Intervals
Hit paper breakdown →
2009545
2 201884
3 201620
4 201120
5 201519
6 201819
7 201518
8 201016
9 200216
10 201412
11 202212
12 20164
13 20112
14 20241
15 20210

About Christopher Blanchette

Christopher Blanchette is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Physiology, Hematology and Economics and Econometrics, having authored 15 papers that have together received 788 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Respiratory Support and Mechanisms (3 papers), Blood groups and transfusion (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Asthma and respiratory diseases (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Internal Medicine (39 citations), Statistics and Probability (62 citations), Family Practice (15 citations), Cardiology and Cardiovascular Medicine (141 citations) and Pulmonary and Respiratory Medicine (146 citations). Christopher Blanchette has collaborated with scholars based in United States, Spain and Hungary. Frequent co-authors include David H. Smith, Stanley Xu, Colleen Ross, Susan Shetterly, Marsha A. Raebel, Thomas Morel, Mondher Toumi, Zoltán Kaló, Sandra Nestler-Parr and Steven Simoens. Their work appears in journals such as Drugs in Context, Value in Health, Journal of Clinical Oncology, Transfusion and ClinicoEconomics and Outcomes Research.

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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