P. O’Connell
- Neurology top 0.1%
- Neurofibromatosis and Schwannoma Cases 25
- Neuroblastoma Research and Treatments 14
- Cancer Research top 0.5%
- Genetics top 0.2%
- Genomic variations and chromosomal abnormalities 38
- Pathology and Forensic Medicine top 0.5%
- Genetic factors in colorectal cancer 13
- Molecular Biology top 0.5%
- DNA and Nucleic Acid Chemistry 44
- DNA Repair Mechanisms 27
- Genomics and Chromatin Dynamics 17
- CRISPR and Genetic Engineering 11
- Co-authors
- R. WhiteRichard CawthonMelanie CulverDavid ViskochilMark LeppertYusuke NakamuraD. Craig AllredM. Leppert
- Cited by
- NeurologyCancer ResearchGenetics
- Journals
- Nucleic Acids Research (101 papers)Genomics (24 papers)Breast Cancer Research and Treatment (6 papers)
- Partner nations
- United StatesIrelandBelgium
In The Last Decade
P. O’Connell
243 papers receiving 15.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Neurology 3.8k
- Cancer Research 2.0k
- Genetics 3.6k
- Pathology and Forensic Medicine 1.8k
- Molecular Biology 6.7k
Countries citing papers authored by P. O’Connell
This map shows the geographic impact of P. O’Connell'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. O’Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. O’Connell more than expected).
Fields of papers citing papers by P. O’Connell
This network shows the impact of papers produced by P. O’Connell. 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. O’Connell. The network helps show where P. O’Connell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P. O’Connell, 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 | 2008 | 207 | |
| 2 | 2001 | 119 | |
| 3 | 2000 | 94 | |
| 4 | 1998 | 267 | |
| 5 | 1997 | 2 | |
| 6 | 1991 | 98 | |
| 7 | CEPH(ヒト多形性研究センター)共同製作ヒト1番染色体連鎖地図 | 1991 | 54 |
| 8 | 1991 | 92 | |
| 9 | 1990 | 55 | |
| 10 | The neurofibromatosis type 1 gene encodes a protein related to GAPbreakdown → | 1990 | 907 |
| 11 | 1990 | 41 | |
| 12 | 1988 | 30 | |
| 13 | 1988 | 1 | |
| 14 | 1988 | 5 | |
| 15 | 1988 | 127 | |
| 16 | 1988 | 6 | |
| 17 | 1988 | 2 | |
| 18 | 1988 | 3 | |
| 19 | 1987 | 29 | |
| 20 | 1987 | 3 |
About P. O’Connell
P. O’Connell is a scholar working on Genetics, Neurology and Molecular Biology, having authored 248 papers that have together received 15.5k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (44 papers), Genomic variations and chromosomal abnormalities (38 papers), DNA Repair Mechanisms (27 papers), Neurofibromatosis and Schwannoma Cases (25 papers), Genomics and Chromatin Dynamics (17 papers), Neuroblastoma Research and Treatments (14 papers), Genetic factors in colorectal cancer (13 papers) and CRISPR and Genetic Engineering (11 papers). The work is most often cited by research in Neurology (3.8k citations), Cancer Research (2.0k citations) and Genetics (3.6k citations). P. O’Connell has collaborated with scholars based in United States, Ireland and Belgium. Frequent co-authors include R. White, Richard Cawthon, Melanie Culver, David Viskochil, Mark Leppert, Yusuke Nakamura, D. Craig Allred, M. Leppert, Gangfeng Xu and Roger K. Wolff. Their work appears in journals such as Nucleic Acids Research, Genomics, Breast Cancer Research and Treatment, Diabetes and Cell.
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.