Matthew W. Wheeler
- Health, Toxicology and Mutagenesis top 2%
- Immunology and Allergy top 2%
- Insect Science top 5%
- Statistics and Probability top 2%
- Molecular Biology
- Co-authors
- A. John BailerRobert M. ParkEileen D. KuempelJoost WesterhoutBenjamin C. RemingtonDavid A. DankovicMarie Y. MeimaAstrid G. Kruizinga
- Topics
- Statistical Methods in Clinical Trials (13 papers)Statistical Methods and Bayesian Inference (9 papers)Carcinogens and Genotoxicity Assessment (9 papers)
- Journals
- Journal of the American Statistical AssociationBioinformaticsAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Matthew W. Wheeler
48 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 154
- Health, Toxicology and Mutagenesis 410
- Immunology and Allergy 210
- Insect Science 158
- Statistics and Probability 153
- Molecular Biology 150
Countries citing papers authored by Matthew W. Wheeler
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
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
| # | 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 |
About Matthew W. Wheeler
Matthew W. Wheeler is a scholar working on Chemical Health and Safety, Statistics and Probability and Health, Toxicology and Mutagenesis, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (13 papers), Statistical Methods and Bayesian Inference (9 papers) and Carcinogens and Genotoxicity Assessment (9 papers). The work is most often cited by research in Chemical Health and Safety (24 citations), Immunology and Allergy (210 citations) and Health, Toxicology and Mutagenesis (410 citations). Matthew W. Wheeler has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent 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. Their work appears in journals such as Journal of the American Statistical Association, Bioinformatics and American Journal of Respiratory and Critical Care Medicine.
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.