P. Pearson
- Genetics top 0.1%
- Genomic variations and chromosomal abnormalities 40
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 18
- Genetics and Neurodevelopmental Disorders 17
- Molecular Biology top 0.5%
- Muscle Physiology and Disorders 22
- RNA modifications and cancer 16
- CRISPR and Genetic Engineering 14
- DNA and Nucleic Acid Chemistry 13
- Genetics top 1%
- Genomic variations and chromosomal abnormalities 40
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 18
- Genetics and Neurodevelopmental Disorders 17
- Reproductive Medicine top 1%
-
- Chromosomal and Genetic Variations 28
- Co-authors
- Martin BobrowEgbert BakkerG.J.B. van OmmenKay E. DaviesPeter DevileeCanio G. VosaJohan T. den DunnenMartin C. Wapenaar
- Cited by
- GeneticsMolecular Biology
- Journals
- Human Genetics (27 papers)Cytogenetic and Genome Research (18 papers)Nucleic Acids Research (13 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
P. Pearson
208 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Genetics 4.7k
- Molecular Biology 6.3k
- Genetics 843
- Reproductive Medicine 599
- Pediatrics, Perinatology and Child Health 901
Countries citing papers authored by P. Pearson
This map shows the geographic impact of P. Pearson'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 P. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Pearson more than expected).
Fields of papers citing papers by P. Pearson
This network shows the impact of papers produced by P. Pearson. 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 P. Pearson. The network helps show where P. Pearson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P. Pearson, 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 | 2 | |
| 2 | 2012 | 4 | |
| 3 | 2012 | 67 | |
| 4 | 2005 | 30 | |
| 5 | 2004 | 24 | |
| 6 | 2001 | 11 | |
| 7 | 1998 | 42 | |
| 8 | 1987 | 155 | |
| 9 | 1986 | 74 | |
| 10 | Toward a complete linkage map of the human X chromosome: regional assignment of 16 cloned single-copy DNA sequences employing a panel of somatic cell hybrids. | 1984 | 137 |
| 11 | 1984 | 7 | |
| 12 | 1983 | 44 | |
| 13 | 1979 | 22 | |
| 14 | 1978 | 3 | |
| 15 | 1976 | 16 | |
| 16 | 1975 | 9 | |
| 17 | 1975 | 10 | |
| 18 | 1975 | 3 | |
| 19 | 1974 | 13 | |
| 20 | 1970 | 72 |
About P. Pearson
P. Pearson is a scholar working on Genetics, Molecular Biology and Gastroenterology, having authored 209 papers that have together received 10.7k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (40 papers), Chromosomal and Genetic Variations (28 papers), Muscle Physiology and Disorders (22 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers), Genetics and Neurodevelopmental Disorders (17 papers), RNA modifications and cancer (16 papers), CRISPR and Genetic Engineering (14 papers) and DNA and Nucleic Acid Chemistry (13 papers). The work is most often cited by research in Genetics (4.7k citations), Molecular Biology (6.3k citations) and Genetics (843 citations). P. Pearson has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Martin Bobrow, Egbert Bakker, G.J.B. van Ommen, Kay E. Davies, Peter Devilee, Canio G. Vosa, Johan T. den Dunnen, Martin C. Wapenaar, Marten H. Hofker and Stephen T. Reeders. Their work appears in journals such as Human Genetics, Cytogenetic and Genome Research, Nucleic Acids Research, Journal of Medical Genetics and 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.