Matthew Pendleton
Impact in
- Genetics top 2%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
Papers in
- Genetics 6
- Genomic variations and chromosomal abnormalities 3
- Genetic Associations and Epidemiology 2
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- Genomics and Chromatin Dynamics 2
- Co-authors
- David W. Denning (1 shared paper)Ali Kashif Bashir (2 shared papers)Erin Doyle (1 shared paper)Ahmed El‐Shamy (1 shared paper)Andrea D. Branch (1 shared paper)Francis J. Eng (1 shared paper)Jonathan S. Marchant (1 shared paper)Dan Zhang (1 shared paper)
- Journals
- Genome Medicine (2 papers)Blood (1 paper)Annals of the New York Academy of Sciences (1 paper)Nature Biotechnology (1 paper)Cell Genomics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Matthew Pendleton
12 papers receiving 2.3k citations
Matthew Pendleton's Hit Papers
Peers
Comparison fields: 5 of 111
- Genetics 1.0k
- Molecular Biology 1.2k
- Cancer Research 244
- Hematology 147
- Plant Science 436
Countries citing papers authored by Matthew Pendleton
This map shows the geographic impact of Matthew Pendleton'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 Pendleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Pendleton more than expected).
Fields of papers citing papers by Matthew Pendleton
This network shows the impact of papers produced by Matthew Pendleton. 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 Pendleton. The network helps show where Matthew Pendleton may publish in the future.
Co-authors
The 22 scholars most cited alongside Matthew Pendleton, 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 | An integrated map of structural variation in 2,504 human genomes Hit paper breakdown → | 2015 | 1624 |
| 2 | 2015 | 348 | |
| 3 | 2015 | 155 | |
| 4 | 2022 | 85 | |
| 5 | 2019 | 25 | |
| 6 | 2016 | 19 | |
| 7 | 2024 | 12 | |
| 8 | 2012 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2007 | 9 | |
| 11 | 2013 | 7 | |
| 12 | 2014 | 1 | |
| 13 | An integrated map of structural variation in 2,504 human genomes_supplement | 2016 | 1 |
About Matthew Pendleton
Matthew Pendleton is a scholar working on Genetics, Molecular Biology, Hepatology, Health and Genetics, having authored 13 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Chromosomal and Genetic Variations (2 papers), Genetic Associations and Epidemiology (2 papers), Genomics and Chromatin Dynamics (2 papers), Acute Myeloid Leukemia Research (1 paper), Fungal Infections and Studies (1 paper), Pancreatic function and diabetes (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Genetics (1.0k citations), Molecular Biology (1.2k citations), Cancer Research (244 citations), Hematology (147 citations) and Plant Science (436 citations). Matthew Pendleton has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David W. Denning, Ali Kashif Bashir, Erin Doyle, Ahmed El‐Shamy, Andrea D. Branch, Francis J. Eng, Jonathan S. Marchant, Dan Zhang, Michael J. Boulware and Taisaku Nogi. Their work appears in journals such as Genome Medicine, Blood, Annals of the New York Academy of Sciences, Nature Biotechnology and Cell Genomics.
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.