Timothy Collier

78 papers receiving 3.8k citations

Timothy Collier's Hit Papers

The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities 2011 · 443 citations
4430+5+10Years since publication100200300400

Peers

Timothy Collier
Comparison fields: 5 of 154
  • Biochemistry 359
  • Cardiology and Cardiovascular Medicine 712
  • Statistics and Probability 251
  • Critical Care and Intensive Care Medicine 120
  • Behavioral Neuroscience 92
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Robin Roberts Canada
Paulo H. M. Chaves United States
Jens Baumert Germany
Fang‐Chi Hsu United States
Stéphane Héritier Australia
Claudia S. Moy United States
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Countries citing papers authored by Timothy Collier

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Collier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities
Hit paper breakdown →
2011443
2 2008417
3 2017222
4 2004215
5 2020204
6 2007134
7 2016127
8 2003116
9 1989106
10 200496
11 199087
12 201776
13 201874
14 200372
15 201371
16 199169
17 198764
18 201462
19 201558
20 201558

About Timothy Collier

Timothy Collier is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability, Endocrinology, Diabetes and Metabolism, Surgery and Economics and Econometrics, having authored 80 papers that have together received 3.9k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (11 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Hormonal Regulation and Hypertension (8 papers), Blood transfusion and management (7 papers), Nerve injury and regeneration (5 papers), Advanced Causal Inference Techniques (5 papers), Blood Pressure and Hypertension Studies (4 papers) and Meta-analysis and systematic reviews (4 papers). The work is most often cited by research in Biochemistry (359 citations), Cardiology and Cardiovascular Medicine (712 citations), Statistics and Probability (251 citations), Critical Care and Intensive Care Medicine (120 citations) and Behavioral Neuroscience (92 citations). Timothy Collier has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Stuart Pocock, Cono Ariti, SJ Pocock, Dee Dee Wang, A. A. Klein, Toby Richards, John J.V. McMurray, Paul D. Coleman, Katharine Ker and Chris Frost. Their work appears in journals such as European Journal of Heart Failure, European Heart Journal, The Lancet, Journal of the American College of Cardiology and Brain 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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