Matthew D. Ducar
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Cancer Genomics and Diagnostics 10
- Cancer-related molecular mechanisms research 2
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- Molecular Biology Techniques and Applications 5
- Genomics and Phylogenetic Studies 3
- Co-authors
- Laura E. MacConaill (13 shared papers)Paul Van Hummelen (11 shared papers)William C. Hahn (6 shared papers)Matthew Meyerson (4 shared papers)Lynette M. Sholl (3 shared papers)Neal I. Lindeman (4 shared papers)Aaron R. Thorner (12 shared papers)Matthew DeFelice (1 shared paper)
- Journals
- Cancer Research (5 papers)Blood (4 papers)Gastroenterology (1 paper)Oncotarget (1 paper)JCO Precision Oncology (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Matthew D. Ducar
21 papers receiving 2.2k citations
Matthew D. Ducar's Hit Papers
Peers
Comparison fields: 5 of 88
- Cancer Research 388
- Genetics 232
- Pathology and Forensic Medicine 312
- Neurology 236
- Oncology 386
Countries citing papers authored by Matthew D. Ducar
This map shows the geographic impact of Matthew D. Ducar'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 D. Ducar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Ducar more than expected).
Fields of papers citing papers by Matthew D. Ducar
This network shows the impact of papers produced by Matthew D. Ducar. 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 D. Ducar. The network helps show where Matthew D. Ducar may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew D. Ducar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genomic sequencing of meningiomas identifies oncogenic SMO and AKT1 mutations Hit paper breakdown → | 2013 | 456 |
| 2 | 2011 | 400 | |
| 3 | 2017 | 330 | |
| 4 | 2003 | 192 | |
| 5 | 2018 | 158 | |
| 6 | 2015 | 153 | |
| 7 | 2014 | 130 | |
| 8 | 2018 | 102 | |
| 9 | 2019 | 64 | |
| 10 | 2017 | 53 | |
| 11 | 2018 | 53 | |
| 12 | 2018 | 44 | |
| 13 | 2018 | 28 | |
| 14 | 2017 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2020 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2012 | 2 | |
| 20 | 2018 | 1 |
About Matthew D. Ducar
Matthew D. Ducar is a scholar working on Cancer Research, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Molecular Biology Techniques and Applications (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetic factors in colorectal cancer (3 papers), Meningioma and schwannoma management (2 papers), Cancer-related molecular mechanisms research (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (388 citations), Genetics (232 citations), Pathology and Forensic Medicine (312 citations), Neurology (236 citations) and Oncology (386 citations). Matthew D. Ducar has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Laura E. MacConaill, Paul Van Hummelen, William C. Hahn, Matthew Meyerson, Lynette M. Sholl, Neal I. Lindeman, Aaron R. Thorner, Matthew DeFelice, Panisa Pochanard and Levi A. Garraway. Their work appears in journals such as Cancer Research, Blood, Gastroenterology, Oncotarget and JCO Precision 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.