Christopher John Weir

258 papers receiving 11.0k citations

Christopher John Weir's Hit Papers

Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations 2023 · 102 citations
1020+2+5Years since publication100200300400500

Peers

Christopher John Weir
Comparison fields: 5 of 179
  • Rehabilitation 825
  • Critical Care and Intensive Care Medicine 431
  • Neurology 1.2k
  • Statistics and Probability 675
  • Epidemiology 2.3k
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Citations per year

Countries citing papers authored by Christopher John Weir

Since Specialization
Citations

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

Fields of papers citing papers by Christopher John Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 272 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adaptive designs in clinical trials: why use them, and how to run and report them
Hit paper breakdown →
2018553
2 1997427
3 1996359
4
Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review
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2018336
5 2011318
6
High-sensitivity troponin in the evaluation of patients with suspected acute coronary syndrome: a stepped-wedge, cluster-randomised controlled trial
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2018297
7 2003281
8 1999277
9 2003276
10
Intravenous ferric derisomaltose in patients with heart failure and iron deficiency in the UK (IRONMAN): an investigator-initiated, prospective, randomised, open-label, blinded-endpoint trial
Hit paper breakdown →
2022272
11 2011249
12 2019159
13 2005141
14 2019136
15 2005134
16 2013134
17 2007132
18 2003130
19 2018126
20 2021124

About Christopher John Weir

Christopher John Weir is a scholar working on Statistics and Probability, Epidemiology, Critical Care and Intensive Care Medicine, Statistics, Probability and Uncertainty and Neurology, having authored 272 papers that have together received 11.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (31 papers), Acute Ischemic Stroke Management (29 papers), Health Systems, Economic Evaluations, Quality of Life (25 papers), Meta-analysis and systematic reviews (17 papers), Intensive Care Unit Cognitive Disorders (14 papers), Acute Myocardial Infarction Research (11 papers), Stroke Rehabilitation and Recovery (10 papers) and Multiple Sclerosis Research Studies (10 papers). The work is most often cited by research in Rehabilitation (825 citations), Critical Care and Intensive Care Medicine (431 citations), Neurology (1.2k citations), Statistics and Probability (675 citations) and Epidemiology (2.3k citations). Christopher John Weir has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Kennedy R. Lees, Gordon D. Murray, Peter Langhorne, Keith Muir, Matthew R. Walters, Alexander G. Dyker, Stella Aslanyan, Lindsay Govan, Scott W. Muir and Richard Anthony Parker. Their work appears in journals such as Stroke, BMJ Open, Trials, The Lancet and BMJ.

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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