Patrick J. Casey
- Molecular Biology top 0.1%
- Protein Kinase Regulation and GTPase Signaling 66
- Ubiquitin and proteasome pathways 34
- Receptor Mechanisms and Signaling 18
- Metabolism, Diabetes, and Cancer 14
- Cancer-related gene regulation 13
- Cell Biology top 0.1%
- Cellular transport and secretion 15
- Immunology and Allergy top 0.5%
- Oncology top 0.5%
- Cancer-related Molecular Pathways 17
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- Enzyme Structure and Function 17
- Co-authors
- Alfred G. GilmanMiguel C. SeabraTimothy A. FieldsMei WangJanice E. BussJohn F. MoomawL.S. BeesePatrick Kelly
- Journals
- Journal of Biological Chemistry (61 papers)Biochemistry (15 papers)Proceedings of the National Academy of Sciences (8 papers)
- Partner nations
- United StatesSingaporeNew Zealand
In The Last Decade
Patrick J. Casey
246 papers receiving 18.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 14.8k
- Cell Biology 3.5k
- Immunology and Allergy 761
- Oncology 3.4k
- Cellular and Molecular Neuroscience 1.8k
Countries citing papers authored by Patrick J. Casey
This map shows the geographic impact of Patrick J. Casey'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 Patrick J. Casey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J. Casey more than expected).
Fields of papers citing papers by Patrick J. Casey
This network shows the impact of papers produced by Patrick J. Casey. 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 Patrick J. Casey. The network helps show where Patrick J. Casey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick J. Casey, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2021 | 1 | |
| 4 | 2017 | 48 | |
| 5 | 2016 | 377 | |
| 6 | 2013 | 12 | |
| 7 | 2009 | 119 | |
| 8 | 2007 | 85 | |
| 9 | 2005 | 154 | |
| 10 | 2004 | 135 | |
| 11 | 2002 | 46 | |
| 12 | 2002 | 24 | |
| 13 | 2000 | 93 | |
| 14 | 2000 | 20 | |
| 15 | 1997 | 113 | |
| 16 | PROTEIN PRENYLATION: Molecular Mechanisms and Functional Consequencesbreakdown → | 1996 | 1663 |
| 17 | 1995 | 81 | |
| 18 | Presenting Teachers With A Model for Technological Innovation | 1995 | 5 |
| 19 | 1993 | 48 | |
| 20 | 1993 | 72 |
About Patrick J. Casey
Patrick J. Casey is a scholar working on Equine, Cell Biology and Molecular Biology, having authored 247 papers that have together received 19.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (66 papers), Ubiquitin and proteasome pathways (34 papers), Receptor Mechanisms and Signaling (18 papers), Cancer-related Molecular Pathways (17 papers), Enzyme Structure and Function (17 papers), Cellular transport and secretion (15 papers), Metabolism, Diabetes, and Cancer (14 papers) and Cancer-related gene regulation (13 papers). The work is most often cited by research in Molecular Biology (14.8k citations), Cell Biology (3.5k citations) and Immunology and Allergy (761 citations). Patrick J. Casey has collaborated with scholars based in United States, Singapore and New Zealand. Frequent co-authors include Alfred G. Gilman, Miguel C. Seabra, Timothy A. Fields, Mei Wang, Janice E. Buss, John F. Moomaw, L.S. Beese, Patrick Kelly, Channing J. Der and Joseph L. Goldstein. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences, Journal of Vascular Surgery and Oncogene.
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.