Matthew D. Ducar
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Cancer Genomics and Diagnostics 11
- Genetics 3
- Genomics and Rare Diseases 2
- Co-authors
- Laura E. MacConaillPaul Van HummelenWilliam C. HahnMatthew MeyersonLynette M. ShollNeal I. LindemanAaron R. ThornerStacey Gabriel
- Journals
- Cancer Research (4 papers)Blood (4 papers)Genes Chromosomes and Cancer (1 paper)Nature Genetics (1 paper)Cancer (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Matthew D. Ducar
21 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Cancer Research 467
- Genetics 264
- Pathology and Forensic Medicine 376
- Neurology 302
- Oncology 483
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 3 | |
| 2 | 2019 | 62 | |
| 3 | 2018 | 51 | |
| 4 | 2018 | 26 | |
| 5 | 2018 | 97 | |
| 6 | 2018 | 3 | |
| 7 | 2018 | 42 | |
| 8 | 2018 | 150 | |
| 9 | 2018 | 11 | |
| 10 | 2018 | 1 | |
| 11 | 2017 | 11 | |
| 12 | 2017 | 51 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 0 | |
| 15 | 2015 | 143 | |
| 16 | 2014 | 3 | |
| 17 | Genomic sequencing of meningiomas identifies oncogenic SMO and AKT1 mutations Hit paper breakdown → | 2013 | 419 |
| 18 | 2012 | 2 | |
| 19 | 2011 | 384 | |
| 20 | 2003 | 182 |
About Matthew D. Ducar
Matthew D. Ducar is a scholar working on Cancer Research, Genetics, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Molecular Biology Techniques and Applications (6 papers), Genetic factors in colorectal cancer (3 papers), Genomics and Phylogenetic Studies (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Genomics and Rare Diseases (2 papers), Single-cell and spatial transcriptomics (2 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Cancer Research (467 citations), Genetics (264 citations), Pathology and Forensic Medicine (376 citations), Neurology (302 citations) and Oncology (483 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, Stacey Gabriel, Brendan Blumenstiel and Panisa Pochanard. Their work appears in journals such as Cancer Research, Blood, Genes Chromosomes and Cancer, Nature Genetics 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.