J. Matthew McDonald
- Genetics top 2%
- Glioma Diagnosis and Treatment 3
- Virus-based gene therapy research 2
- Cancer Research top 10%
- Sensory Systems top 5%
- Microbiology top 5%
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- Renal and related cancers 3
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- Respiratory viral infections research 2
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- Renal cell carcinoma treatment 2
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- Ethics and Legal Issues in Pediatric Healthcare 2
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- Viral gastroenteritis research and epidemiology 1
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- interferon and immune responses 1
- Co-authors
- Christopher E. PelloskiErik P. SulmanHoward ColmanKenneth AldapeMark R. GilbertW.K. Alfred YungDavid N. LouisK. Aldape
- Journals
- Journal of Clinical Oncology (1 paper)PLoS ONE (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
J. Matthew McDonald
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Genetics 427
- Cancer Research 262
- Sensory Systems 64
- Microbiology 77
- Molecular Biology 534
Countries citing papers authored by J. Matthew McDonald
This map shows the geographic impact of J. Matthew McDonald'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 J. Matthew McDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Matthew McDonald more than expected).
Fields of papers citing papers by J. Matthew McDonald
This network shows the impact of papers produced by J. Matthew McDonald. 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 J. Matthew McDonald. The network helps show where J. Matthew McDonald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Matthew McDonald, 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 | 2021 | 5 | |
| 2 | 2017 | 7 | |
| 3 | 2014 | 10 | |
| 4 | 2011 | 19 | |
| 5 | 2011 | 114 | |
| 6 | 2009 | 285 | |
| 7 | 2008 | 29 | |
| 8 | 2007 | 239 | |
| 9 | Podoplanin expression is an independent predictor of survival in malignant gliomas | 2007 | 1 |
| 10 | 2006 | 32 | |
| 11 | 2005 | 86 | |
| 12 | 2005 | 17 | |
| 13 | 2005 | 50 | |
| 14 | 2002 | 66 | |
| 15 | 2001 | 7 | |
| 16 | 2000 | 10 | |
| 17 | Linkage of familial Wilms' tumor predisposition to chromosome 19 and a two-locus model for the etiology of familial tumors. | 1998 | 73 |
| 18 | Evidence for genetic heterogeneity in familial Wilms' tumor. | 1997 | 17 |
| 19 | 1989 | 1 | |
| 20 | 1988 | 4 |
About J. Matthew McDonald
J. Matthew McDonald is a scholar working on Genetics, Modeling and Simulation and Sensory Systems, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Renal and related cancers (3 papers), Virus-based gene therapy research (2 papers), Respiratory viral infections research (2 papers), Renal cell carcinoma treatment (2 papers), Ethics and Legal Issues in Pediatric Healthcare (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Genetics (427 citations), Cancer Research (262 citations) and Sensory Systems (64 citations). J. Matthew McDonald has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Christopher E. Pelloski, Erik P. Sulman, Howard Colman, Kenneth Aldape, Mark R. Gilbert, W.K. Alfred Yung, David N. Louis, K. Aldape, Heidi Phillips and Steven N. Popoff. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.
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.