Shane Patella
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver physiology and pathology
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- TGF-β signaling in diseases
- Bone Metabolism and Diseases
- Kruppel-like factors research
- Metabolism, Diabetes, and Cancer
Papers in
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- Liver Disease Diagnosis and Treatment 4
- Hepatitis B Virus Studies 1
- Bone fractures and treatments 1
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- TGF-β signaling in diseases 4
- Bone Metabolism and Diseases 2
- Co-authors
- David J. Phillips (2 shared papers)Kristian L. Jones (2 shared papers)William Sievert (4 shared papers)David M. de Kretser (2 shared papers)Ashley Mansell (1 shared paper)Mark P. Hedger (1 shared paper)David de Kretser (1 shared paper)Stephen Pianko (2 shared papers)
- Journals
- Journal of Hepatology (1 paper)American Journal Of Pathology (1 paper)Journal of Viral Hepatitis (1 paper)Journal of Gastroenterology and Hepatology (1 paper)Molecular and Cellular Endocrinology (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Shane Patella
8 papers receiving 630 citations
Peers
Comparison fields: 5 of 71
- Hepatology 117
- Molecular Biology 332
- Epidemiology 165
- Immunology 92
- Reproductive Medicine 27
Countries citing papers authored by Shane Patella
This map shows the geographic impact of Shane Patella'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 Shane Patella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane Patella more than expected).
Fields of papers citing papers by Shane Patella
This network shows the impact of papers produced by Shane Patella. 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 Shane Patella. The network helps show where Shane Patella may publish in the future.
Co-authors
The 25 scholars most cited alongside Shane Patella, 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 | 2007 | 230 | |
| 2 | 2004 | 106 | |
| 3 | 2005 | 96 | |
| 4 | 2001 | 77 | |
| 5 | 2008 | 60 | |
| 6 | 2001 | 33 | |
| 7 | 2000 | 25 | |
| 8 | Extracorporeal shock waves increase interleukin-10 expression by human osteoarthritic and healthy osteoblasts in vitro. | 2010 | 12 |
About Shane Patella
Shane Patella is a scholar working on Epidemiology, Molecular Biology, Hepatology, Pathology and Forensic Medicine and Immunology, having authored 8 papers that have together received 639 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Bone Metabolism and Diseases (2 papers), Hepatitis C virus research (2 papers), Alcohol Consumption and Health Effects (2 papers), Liver physiology and pathology (2 papers), Hepatitis B Virus Studies (1 paper) and Bone fractures and treatments (1 paper). The work is most often cited by research in Hepatology (117 citations), Molecular Biology (332 citations), Epidemiology (165 citations), Immunology (92 citations) and Reproductive Medicine (27 citations). Shane Patella has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include David J. Phillips, Kristian L. Jones, William Sievert, David M. de Kretser, Ashley Mansell, Mark P. Hedger, David de Kretser, Stephen Pianko, David J. Phillips and Jorge Tchongue. Their work appears in journals such as Journal of Hepatology, American Journal Of Pathology, Journal of Viral Hepatitis, Journal of Gastroenterology and Hepatology and Molecular and Cellular Endocrinology.
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.