Philip Ryan
Impact in
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- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
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- Prostate Cancer Treatment and Research
Papers in
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- Ubiquitin and proteasome pathways 9
- Glycosylation and Glycoproteins Research 8
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- Carbohydrate Chemistry and Synthesis 7
- Co-authors
- Stanley Lipkowitz (8 shared papers)Marion M. Nau (5 shared papers)Santosh Rudrawar (11 shared papers)Clifford G. Tepper (2 shared papers)Hong Ai (1 shared paper)Hsing-Jien Kung (1 shared paper)David L. Boucher (1 shared paper)Stephen C. Kales (3 shared papers)
- Journals
- ACS Chemical Neuroscience (3 papers)PLoS ONE (3 papers)Bioorganic Chemistry (2 papers)Cancer Research (2 papers)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Philip Ryan
23 papers receiving 814 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 514
- Pulmonary and Respiratory Medicine 195
- Oncology 159
- Cancer Research 86
- Immunology 110
Countries citing papers authored by Philip Ryan
This map shows the geographic impact of Philip Ryan'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 Philip Ryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Ryan more than expected).
Fields of papers citing papers by Philip Ryan
This network shows the impact of papers produced by Philip Ryan. 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 Philip Ryan. The network helps show where Philip Ryan may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Ryan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Characterization of a novel androgen receptor mutation in a relapsed CWR22 prostate cancer xenograft and cell line. | 2002 | 216 |
| 2 | 2010 | 92 | |
| 3 | 2018 | 82 | |
| 4 | 2006 | 77 | |
| 5 | 2019 | 57 | |
| 6 | 2019 | 42 | |
| 7 | 2019 | 34 | |
| 8 | 2010 | 33 | |
| 9 | 2005 | 30 | |
| 10 | 2006 | 27 | |
| 11 | 2019 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2005 | 16 | |
| 14 | 2012 | 15 | |
| 15 | 2019 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2020 | 8 | |
| 20 | 2021 | 5 |
About Philip Ryan
Philip Ryan is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Immunology and Neurology, having authored 23 papers that have together received 824 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Glycosylation and Glycoproteins Research (8 papers), Carbohydrate Chemistry and Synthesis (7 papers), Galectins and Cancer Biology (4 papers), Cancer-related Molecular Pathways (3 papers), Alzheimer's disease research and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Molecular Biology (514 citations), Pulmonary and Respiratory Medicine (195 citations), Oncology (159 citations), Cancer Research (86 citations) and Immunology (110 citations). Philip Ryan has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Stanley Lipkowitz, Marion M. Nau, Santosh Rudrawar, Clifford G. Tepper, Hong Ai, Hsing-Jien Kung, David L. Boucher, Stephen C. Kales, Liang Xia and Thomas G. Pretlow. Their work appears in journals such as ACS Chemical Neuroscience, PLoS ONE, Bioorganic Chemistry, Cancer Research and European Journal of Medicinal Chemistry.
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.