Matthew W. Wheeler

2.3k total citations
52 papers, 1.5k citations indexed

About

Matthew W. Wheeler is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Matthew W. Wheeler has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 11 papers in Health, Toxicology and Mutagenesis and 9 papers in Cancer Research. Recurrent topics in Matthew W. Wheeler's work include Statistical Methods in Clinical Trials (13 papers), Statistical Methods and Bayesian Inference (9 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Matthew W. Wheeler is often cited by papers focused on Statistical Methods in Clinical Trials (13 papers), Statistical Methods and Bayesian Inference (9 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Matthew W. Wheeler collaborates with scholars based in United States, United Kingdom and Netherlands. Matthew W. Wheeler's co-authors include A. John Bailer, Robert M. Park, Eileen D. Kuempel, Joost Westerhout, Benjamin C. Remington, David A. Dankovic, Marie Y. Meima, Astrid G. Kruizinga, W. Marty Blom and Geert F. Houben and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Matthew W. Wheeler

48 papers receiving 1.4k citations

Peers

Matthew W. Wheeler
Comparison fields: 5 of 154
  • Health, Toxicology and Mutagenesis 410
  • Immunology and Allergy 210
  • Insect Science 158
  • Statistics and Probability 153
  • Molecular Biology 150
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Citations per field, relative to Matthew W. Wheeler
Matthew W. Wheeler · 1×
Citations per year, relative to Matthew W. Wheeler
Matthew W. Wheeler · 1×

Countries citing papers authored by Matthew W. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by Matthew W. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew W. Wheeler. 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 Matthew W. Wheeler. The network helps show where Matthew W. Wheeler may publish in the future.

Co-authorship network of co-authors of Matthew W. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Wheeler. A scholar is included among the top collaborators of Matthew W. Wheeler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew W. Wheeler. Matthew W. Wheeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 1
3 36
4 3
5 3
6 9
7 58
8 132
9 2
10 2
11 17
12 10
13 17
14 0
15 73
16 74
17 20
18 11
19 74
20 21

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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