Philip Egan
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Otorhinolaryngology top 10%
Papers in
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- RNA and protein synthesis mechanisms 3
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- Hepatitis C virus research 4
- Co-authors
- Shiu‐Wan Chan (4 shared papers)W D Nunn (2 shared papers)Robert W. Simons (2 shared papers)Hilary Chute (1 shared paper)Stanley Maloy (1 shared paper)Caroline Conway (6 shared papers)Henry M. Wood (5 shared papers)Pamela Rabbitts (5 shared papers)
- Journals
- Journal of Bacteriology (1 paper)International Journal of Medical Informatics (1 paper)The Journal of Pathology (1 paper)The FASEB Journal (1 paper)The Journal of Laryngology & Otology (1 paper)
- Partner nations
- United KingdomUnited StatesTürkiye
In The Last Decade
Philip Egan
16 papers receiving 497 citations
Peers
Comparison fields: 5 of 82
- Hepatology 57
- Otorhinolaryngology 31
- Periodontics 30
- Cell Biology 100
- Molecular Biology 266
Countries citing papers authored by Philip Egan
This map shows the geographic impact of Philip Egan'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 Egan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Egan more than expected).
Fields of papers citing papers by Philip Egan
This network shows the impact of papers produced by Philip Egan. 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 Egan. The network helps show where Philip Egan may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Egan, 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 | 2005 | 131 | |
| 2 | 1980 | 92 | |
| 3 | 1979 | 51 | |
| 4 | 2017 | 38 | |
| 5 | 2012 | 38 | |
| 6 | 2020 | 37 | |
| 7 | 2015 | 28 | |
| 8 | 2009 | 28 | |
| 9 | 2006 | 24 | |
| 10 | 2012 | 15 | |
| 11 | 2013 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2014 | 8 | |
| 14 | 2013 | 5 | |
| 15 | 2014 | 3 | |
| 16 | 2022 | 3 |
About Philip Egan
Philip Egan is a scholar working on Molecular Biology, Hepatology, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 16 papers that have together received 522 indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), Cancer Genomics and Diagnostics (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Multiple Myeloma Research and Treatments (3 papers), Genetic factors in colorectal cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Peptidase Inhibition and Analysis (2 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Hepatology (57 citations), Otorhinolaryngology (31 citations), Periodontics (30 citations), Cell Biology (100 citations) and Molecular Biology (266 citations). Philip Egan has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Shiu‐Wan Chan, W D Nunn, Robert W. Simons, Hilary Chute, Stanley Maloy, Caroline Conway, Henry M. Wood, Pamela Rabbitts, Sheila J.M. O’Connor and H. Denis Alexander. Their work appears in journals such as Journal of Bacteriology, International Journal of Medical Informatics, The Journal of Pathology, The FASEB Journal and The Journal of Laryngology & Otology.
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.