Matthew E. Bechard
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
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- Pancreatic function and diabetes
Papers in
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- Pluripotent Stem Cells Research 4
- Renal and related cancers 3
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 3
- Oncology 5
- Pancreatic and Hepatic Oncology Research 3
- Cancer Cells and Metastasis 2
- Co-authors
- Stephen Dalton (3 shared papers)Christopher V.E. Wright (4 shared papers)Eric D. Bankaitis (4 shared papers)Amar M. Singh (2 shared papers)Oliver G. McDonald (5 shared papers)Mark A. Magnuson (2 shared papers)Yuping Yang (1 shared paper)Keriayn N. Smith (1 shared paper)
- Journals
- Genes & Development (2 papers)Oncogene (2 papers)Molecular and Cellular Biology (2 papers)Nature Cell Biology (1 paper)Biological Procedures Online (1 paper)
- Partner nations
- United StatesSwedenDenmark
In The Last Decade
Matthew E. Bechard
15 papers receiving 375 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 249
- Surgery 152
- Cancer Research 47
- Oncology 81
- Endocrinology, Diabetes and Metabolism 47
Countries citing papers authored by Matthew E. Bechard
This map shows the geographic impact of Matthew E. Bechard'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 E. Bechard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Bechard more than expected).
Fields of papers citing papers by Matthew E. Bechard
This network shows the impact of papers produced by Matthew E. Bechard. 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 E. Bechard. The network helps show where Matthew E. Bechard may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew E. Bechard, 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 | 2009 | 83 | |
| 2 | 2015 | 53 | |
| 3 | 2016 | 46 | |
| 4 | 2017 | 44 | |
| 5 | 2018 | 24 | |
| 6 | 2012 | 24 | |
| 7 | 2011 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 16 | |
| 10 | 2018 | 16 | |
| 11 | 2021 | 12 | |
| 12 | 2003 | 7 | |
| 13 | 2019 | 4 | |
| 14 | 2022 | 2 | |
| 15 | 2025 | 1 |
About Matthew E. Bechard
Matthew E. Bechard is a scholar working on Molecular Biology, Oncology, Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 15 papers that have together received 378 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Pluripotent Stem Cells Research (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Renal and related cancers (3 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Molecular Biology (249 citations), Surgery (152 citations), Cancer Research (47 citations), Oncology (81 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Matthew E. Bechard has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Stephen Dalton, Christopher V.E. Wright, Eric D. Bankaitis, Amar M. Singh, Oliver G. McDonald, Mark A. Magnuson, Yuping Yang, Keriayn N. Smith, Vivian Weiß and David W. Piston. Their work appears in journals such as Genes & Development, Oncogene, Molecular and Cellular Biology, Nature Cell Biology and Biological Procedures Online.
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.