Matthew D. Ducar

11.0k citations
22 papers · 2.1k indexed · 1 hit paper · h-index 13

Impact in

Papers in

Matthew D. Ducar

21 papers receiving 2.1k citations

Hit Papers

Genomic sequencing of meningiomas identifies oncogenic SMO and AKT1 mutations 2013 · 419 citations
4192013202620172021100200300400

Peers

Matthew D. Ducar
Comparison fields: 5 of 95
  • Cancer Research 467
  • Genetics 264
  • Pathology and Forensic Medicine 376
  • Neurology 302
  • Oncology 483
Replace Michele Simbolo with:
Michele Simbolo Italy
Luigi Chiusa Italy
Denise Frosina United States
Laurie M. Gay United States
Stefano Lazzi Italy
Brigitte Maes Belgium
Marbin Pineda United States
Aaron R. Thorner United States
Jürgen Galle Germany
Seisho Takeuchi Japan
Matthew D. Ducar relative to Michele Simbolo Italy Michele Simbolo's profile →
Citations per field
00.5×2.8×
Michele Simbolo · 1×
Citations per year

Countries citing papers authored by Matthew D. Ducar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Matthew D. Ducar Line = papers co-authored together Matthew D. Ducar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20203
2 201962
3 201851
4 201826
5 201897
6 20183
7 201842
8 2018150
9 201811
10 20181
11 201711
12 201751
13 20151
14 20150
15 2015143
16 20143
17
Genomic sequencing of meningiomas identifies oncogenic SMO and AKT1 mutations
Hit paper breakdown →
2013419
18 20122
19 2011384
20 2003182

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.

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