Shane Patella

766 total citations
8 papers, 639 citations indexed

About

Shane Patella is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Shane Patella has authored 8 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Hepatology. Recurrent topics in Shane Patella's work include TGF-β signaling in diseases (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Hepatitis C virus research (2 papers). Shane Patella is often cited by papers focused on TGF-β signaling in diseases (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Hepatitis C virus research (2 papers). Shane Patella collaborates with scholars based in Australia, United States and Italy. Shane Patella's co-authors include Kristian L. Jones, David J. Phillips, William Sievert, David M. de Kretser, Ashley Mansell, Mark P. Hedger, David de Kretser, Stephen Pianko, David J. Phillips and Jorge Tchongue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Hepatology and American Journal Of Pathology.

In The Last Decade

Shane Patella

8 papers receiving 630 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shane Patella Australia	8	332	165	117	92	66	8	639
Einav Vax Israel	10	303 0.9×	212 1.3×	72 0.6×	126 1.4×	71 1.1×	13	563
Haruyuki Shirasawa Japan	17	344 1.0×	177 1.1×	80 0.7×	115 1.3×	103 1.6×	45	804
Noritoshi Koh Japan	9	223 0.7×	123 0.7×	107 0.9×	34 0.4×	70 1.1×	14	803
Guan-nan Jin China	12	269 0.8×	76 0.5×	71 0.6×	69 0.8×	45 0.7×	25	533
Jianhe Gan China	14	354 1.1×	255 1.5×	164 1.4×	71 0.8×	101 1.5×	39	761
David Vargas Cardenas Germany	12	700 2.1×	420 2.5×	177 1.5×	221 2.4×	114 1.7×	18	1.2k
Michel Guiguet France	10	118 0.4×	221 1.3×	189 1.6×	90 1.0×	77 1.2×	25	628
Takehisa Suekane Japan	11	89 0.3×	137 0.8×	72 0.6×	68 0.7×	100 1.5×	28	401
Shiva Kumar Shanmukhappa United States	15	139 0.4×	190 1.2×	122 1.0×	129 1.4×	197 3.0×	22	724

Countries citing papers authored by Shane Patella

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shane Patella

This figure shows the co-authorship network connecting the top 25 collaborators of Shane Patella. A scholar is included among the top collaborators of Shane Patella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shane Patella. Shane Patella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Iannone, Florenzo, Biagio Moretti, Angela Notarnicola, et al.. (2010). Extracorporeal shock waves increase interleukin-10 expression by human osteoarthritic and healthy osteoblasts in vitro.. PubMed. 27(5). 794–9. 12 indexed citations

Gold, Elspeth, Moira K. O’Bryan, Sarah J. Meachem, et al.. (2008). Activin C Antagonizes Activin A in Vitro and Overexpression Leads to Pathologies in Vivo. American Journal Of Pathology. 174(1). 184–195. 60 indexed citations

Jones, Kristian L., Ashley Mansell, Shane Patella, et al.. (2007). Activin A is a critical component of the inflammatory response, and its binding protein, follistatin, reduces mortality in endotoxemia. Proceedings of the National Academy of Sciences. 104(41). 16239–16244. 230 indexed citations

Patella, Shane, David J. Phillips, Jorge Tchongue, David M. de Kretser, & William Sievert. (2005). Follistatin attenuates early liver fibrosis: effects on hepatic stellate cell activation and hepatocyte apoptosis. American Journal of Physiology-Gastrointestinal and Liver Physiology. 290(1). G137–G144. 96 indexed citations

Jones, Kristian L., David M. de Kretser, Shane Patella, & David J. Phillips. (2004). Activin A and follistatin in systemic inflammation. Molecular and Cellular Endocrinology. 225(1-2). 119–125. 106 indexed citations

Pianko, Stephen, Shane Patella, George Ostapowicz, Paul Desmond, & William Sievert. (2001). Fas‐mediated hepatocyte apoptosis is increased by hepatitis C virus infection and alcohol consumption, and may be associated with hepatic fibrosis: mechanisms of liver cell injury in chronic hepatitis C virus infection. Journal of Viral Hepatitis. 8(6). 406–413. 77 indexed citations

Patella, Shane, et al.. (2001). Characterization of serum activin-A and follistatin and their relation to virological and histological determinants in chronic viral hepatitis. Journal of Hepatology. 34(4). 576–583. 33 indexed citations

Pianko, Stephen, Shane Patella, & William Sievert. (2000). Alcohol consumption induces hepatocyte apoptosis in patients with chronic hepatitis C infection. Journal of Gastroenterology and Hepatology. 15(7). 798–805. 25 indexed citations

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.

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