Michael Webster‐Clark

725 citations
41 papers · 425 · h-index 12

Impact in

Papers in

    • Advanced Causal Inference Techniques 14
    • Statistical Methods in Clinical Trials 7
    • Statistical Methods and Bayesian Inference 2
    • Health Systems, Economic Evaluations, Quality of Life 12
    • Economic and Financial Impacts of Cancer 2

Michael Webster‐Clark

38 papers receiving 423 citations

Peers

Michael Webster‐Clark
Comparison fields: 5 of 87
  • Statistics and Probability 123
  • Geriatrics and Gerontology 15
  • Statistics, Probability and Uncertainty 20
  • Economics and Econometrics 66
  • Family Practice 3
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Oscar Fernández Cantero Spain
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Frits R. Rosendaal Netherlands
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Damian McEntegart United Kingdom
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Citations per year

Countries citing papers authored by Michael Webster‐Clark

Since Specialization
Citations

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

Fields of papers citing papers by Michael Webster‐Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Webster‐Clark. 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 Michael Webster‐Clark. The network helps show where Michael Webster‐Clark may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2 202057
3 201943
4 202024
5 201721
6 202020
7 202219
8 202015
9 201815
10 202013
11 202013
12 202012
13 201810
14 20239
15 20189
16 20207
17 20207
18 20247
19 20216
20 20226

About Michael Webster‐Clark

Michael Webster‐Clark is a scholar working on Statistics and Probability, Economics and Econometrics, Cardiology and Cardiovascular Medicine, Oncology and Infectious Diseases, having authored 41 papers that have together received 425 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (14 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Statistical Methods in Clinical Trials (7 papers), Atrial Fibrillation Management and Outcomes (4 papers), Blood Pressure and Hypertension Studies (2 papers), Statistical Methods and Bayesian Inference (2 papers), Economic and Financial Impacts of Cancer (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Statistics and Probability (123 citations), Geriatrics and Gerontology (15 citations), Statistics, Probability and Uncertainty (20 citations), Economics and Econometrics (66 citations) and Family Practice (3 citations). Michael Webster‐Clark has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Til Stürmer‎, Jennifer L. Lund, Mark Lunt, Robert J. Glynn, Alan R. Ellis, Kenneth J. Rothman, Michele Jönsson Funk, Jessie K. Edwards, Alexander Breskin and Richard Wyss. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, American Journal of Epidemiology, Journal of Clinical Epidemiology, Epidemiology and Journal of Clinical Oncology.

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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