Mark R. Pratt
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 5
- Genomics and Rare Diseases 3
- Genomic variations and chromosomal abnormalities 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Co-authors
- Bryan Reimer (1 shared paper)Lisa A. D’Ambrosio (1 shared paper)Joseph F. Coughlin (1 shared paper)Tom Jefferson (1 shared paper)Justin M. Zook (1 shared paper)Desu Chen (1 shared paper)Hemang M. Parikh (1 shared paper)Gabor T. Bartha (2 shared papers)
- Journals
- Molecular Biology and Evolution (1 paper)JAMA (1 paper)BMC Genomics (1 paper)Nature (1 paper)The Science of The Total Environment (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Mark R. Pratt
9 papers receiving 2.9k citations
Mark R. Pratt's Hit Papers
Peers
Comparison fields: 5 of 157
- Genetics 871
- Cancer Research 369
- Molecular Biology 1.7k
- Ecology 271
- Plant Science 317
Countries citing papers authored by Mark R. Pratt
This map shows the geographic impact of Mark R. Pratt'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 Mark R. Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Pratt more than expected).
Fields of papers citing papers by Mark R. Pratt
This network shows the impact of papers produced by Mark R. Pratt. 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 Mark R. Pratt. The network helps show where Mark R. Pratt may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark R. Pratt, 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 | Accurate whole human genome sequencing using reversible terminator chemistry Hit paper breakdown → | 2008 | 2717 |
| 2 | 2007 | 140 | |
| 3 | 2016 | 65 | |
| 4 | 1998 | 62 | |
| 5 | 2015 | 49 | |
| 6 | 1998 | 12 | |
| 7 | 2025 | 5 | |
| 8 | 2013 | 1 | |
| 9 | Bundaberg Irrigation Area Groundwater Investigation Project, Bundaberg, Australia | 1999 | 1 |
| 10 | 1998 | 1 |
About Mark R. Pratt
Mark R. Pratt is a scholar working on Genetics, Environmental Engineering, Geochemistry and Petrology, Demography and Management Science and Operations Research, having authored 10 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (3 papers), Chromosomal and Genetic Variations (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Context-Aware Activity Recognition Systems (1 paper), Distributed and Parallel Computing Systems (1 paper), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Technology Use by Older Adults (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Genetics (871 citations), Cancer Research (369 citations), Molecular Biology (1.7k citations), Ecology (271 citations) and Plant Science (317 citations). Mark R. Pratt has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Bryan Reimer, Lisa A. D’Ambrosio, Joseph F. Coughlin, Tom Jefferson, Justin M. Zook, Desu Chen, Hemang M. Parikh, Gabor T. Bartha, Noah Spies and Marc Salit. Their work appears in journals such as Molecular Biology and Evolution, JAMA, BMC Genomics, Nature and The Science of The Total Environment.
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.