Matthew G. Butler
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications 4
- Oncology top 10%
- Lymphatic System and Diseases 6
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- Aortic Disease and Treatment Approaches 1
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- Genetic Associations and Epidemiology 1
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- Planarian Biology and Electrostimulation 3
- Angiogenesis and VEGF in Cancer 3
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- Sympathectomy and Hyperhidrosis Treatments 2
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- Moyamoya disease diagnosis and treatment 1
- Co-authors
- Brant M. WeinsteinSumio IsogaiJ. A. PhillipsJames E. LoydTatiana ForoudJohn H. NewmanP. M. ConneallySusan L. Dagenais
- Journals
- Development (3 papers)American Journal of Respiratory and Critical Care Medicine (1 paper)Cancer (1 paper)
- Partner nations
- United StatesJapanHungary
In The Last Decade
Matthew G. Butler
19 papers receiving 826 citations
Peers
Comparison fields: 5 of 84
- Cell Biology 190
- Oncology 286
- Pulmonary and Respiratory Medicine 213
- Genetics 55
- Molecular Biology 355
Countries citing papers authored by Matthew G. Butler
This map shows the geographic impact of Matthew G. Butler'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 G. Butler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew G. Butler more than expected).
Fields of papers citing papers by Matthew G. Butler
This network shows the impact of papers produced by Matthew G. Butler. 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 G. Butler. The network helps show where Matthew G. Butler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew G. Butler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 9 | |
| 4 | 2019 | 1 | |
| 5 | 2017 | 59 | |
| 6 | 2016 | 71 | |
| 7 | 2016 | 32 | |
| 8 | 2016 | 21 | |
| 9 | 2015 | 34 | |
| 10 | 2012 | 104 | |
| 11 | 2012 | 13 | |
| 12 | 2011 | 31 | |
| 13 | 2011 | 86 | |
| 14 | 2011 | 14 | |
| 15 | 2009 | 58 | |
| 16 | 2007 | 33 | |
| 17 | 2006 | 13 | |
| 18 | 2004 | 80 | |
| 19 | 1995 | 175 |
About Matthew G. Butler
Matthew G. Butler is a scholar working on Internal Medicine, Oncology and Cell Biology, having authored 19 papers that have together received 839 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (6 papers), Zebrafish Biomedical Research Applications (4 papers), Planarian Biology and Electrostimulation (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Sympathectomy and Hyperhidrosis Treatments (2 papers), Moyamoya disease diagnosis and treatment (1 paper), Aortic Disease and Treatment Approaches (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Cell Biology (190 citations), Oncology (286 citations) and Pulmonary and Respiratory Medicine (213 citations). Matthew G. Butler has collaborated with scholars based in United States, Japan and Hungary. Frequent co-authors include Brant M. Weinstein, Sumio Isogai, J. A. Phillips, James E. Loyd, Tatiana Foroud, John H. Newman, P. M. Conneally, Susan L. Dagenais, Thomas W. Glover and Daniel Castranova. Their work appears in journals such as Development, American Journal of Respiratory and Critical Care Medicine and Cancer.
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.