Brad Chapman
Impact in
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Plant Science top 0.5%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
Papers in
-
- Scientific Computing and Data Management 10
- Co-authors
- John BowersAndrew H. PatersonJeffrey T. ChangPeter CockMichiel de HoonIddo FriedbergBartek WilczyńskiAndrew Dalke
- Journals
- BMC Bioinformatics (4 papers)Bioinformatics (3 papers)Nature (3 papers)Nucleic Acids Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Brad Chapman
47 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Molecular Biology 6.8k
- Plant Science 2.6k
- Cancer Research 1.0k
- Genetics 1.8k
- Information Systems and Management 354
Countries citing papers authored by Brad Chapman
This map shows the geographic impact of Brad Chapman'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 Brad Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad Chapman more than expected).
Fields of papers citing papers by Brad Chapman
This network shows the impact of papers produced by Brad Chapman. 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 Brad Chapman. The network helps show where Brad Chapman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brad Chapman, 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 | 33 | |
| 2 | 2019 | 182 | |
| 3 | 2016 | 3 | |
| 4 | 2016 | 2 | |
| 5 | 2016 | 111 | |
| 6 | 2014 | 23 | |
| 7 | Clonal dynamics of native haematopoiesis Hit paper breakdown → | 2014 | 574 |
| 8 | 2013 | 245 | |
| 9 | 2012 | 103 | |
| 10 | 2012 | 104 | |
| 11 | 2011 | 336 | |
| 12 | 2011 | 19 | |
| 13 | 2011 | 180 | |
| 14 | 2010 | 124 | |
| 15 | 2006 | 133 | |
| 16 | 2004 | 26 | |
| 17 | 2004 | 23 | |
| 18 | 2003 | 4 | |
| 19 | 2003 | 74 | |
| 20 | Unravelling angiosperm genome evolution by phylogenetic analysis of chromosomal duplication events Hit paper breakdown → | 2003 | 1214 |
About Brad Chapman
Brad Chapman is a scholar working on Information Systems and Management, Medical Laboratory Technology, Molecular Biology, Transplantation and Genetics, having authored 47 papers that have together received 9.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Scientific Computing and Data Management (10 papers), Genetics, Bioinformatics, and Biomedical Research (7 papers), Chromosomal and Genetic Variations (6 papers), Gene expression and cancer classification (5 papers), Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Molecular Biology (6.8k citations), Plant Science (2.6k citations), Cancer Research (1.0k citations), Genetics (1.8k citations) and Information Systems and Management (354 citations). Brad Chapman has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include John Bowers, Andrew H. Paterson, Jeffrey T. Chang, Peter Cock, Michiel de Hoon, Iddo Friedberg, Bartek Wilczyński, Andrew Dalke, Cymon J. Cox and Tiago Antão. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Nature, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.