Steven Dooley
Impact in
- Hepatology top 0.1%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Epidemiology top 0.5%
- Liver Disease Diagnosis and Treatment
Papers in
-
- TGF-β signaling in diseases 51
- Connective Tissue Growth Factor Research 14
- Hepatology 81
- Liver physiology and pathology 78
- Co-authors
- Peter ten Dijke (16 shared papers)Christoph Meyer (27 shared papers)Honglei Weng (42 shared papers)Bedair Dewidar (7 shared papers)Axel M. Gressner (18 shared papers)K Breitkopf (18 shared papers)Peter R. Mertens (16 shared papers)Cornelius Welter (25 shared papers)
- Journals
- Journal of Hepatology (15 papers)Hepatology (12 papers)Archives of Toxicology (11 papers)Biochemical and Biophysical Research Communications (9 papers)PLoS ONE (6 papers)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Steven Dooley
237 papers receiving 10.3k citations
Steven Dooley's Hit Papers
Peers
Comparison fields: 5 of 137
- Hepatology 3.3k
- Epidemiology 2.4k
- Cancer Research 973
- Molecular Biology 4.1k
- Oncology 1.4k
Countries citing papers authored by Steven Dooley
This map shows the geographic impact of Steven Dooley'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 Steven Dooley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Dooley more than expected).
Fields of papers citing papers by Steven Dooley
This network shows the impact of papers produced by Steven Dooley. 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 Steven Dooley. The network helps show where Steven Dooley may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Dooley, 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 240 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TGF-β in progression of liver disease Hit paper breakdown → | 2011 | 612 |
| 2 | TGF-β in Hepatic Stellate Cell Activation and Liver Fibrogenesis—Updated 2019 Hit paper breakdown → | 2019 | 601 |
| 3 | 2016 | 496 | |
| 4 | 2003 | 314 | |
| 5 | 2008 | 228 | |
| 6 | 2011 | 200 | |
| 7 | 2016 | 193 | |
| 8 | 2000 | 188 | |
| 9 | 2012 | 170 | |
| 10 | 2001 | 169 | |
| 11 | 2013 | 162 | |
| 12 | 2017 | 159 | |
| 13 | 2009 | 158 | |
| 14 | 2006 | 149 | |
| 15 | 2015 | 145 | |
| 16 | 2012 | 129 | |
| 17 | 2006 | 124 | |
| 18 | 2006 | 123 | |
| 19 | 2018 | 116 | |
| 20 | 2000 | 113 |
About Steven Dooley
Steven Dooley is a scholar working on Molecular Biology, Hepatology, Oncology, Epidemiology and Surgery, having authored 240 papers that have together received 10.4k indexed citations. Recurring topics across this work include Liver physiology and pathology (78 papers), TGF-β signaling in diseases (51 papers), Liver Disease Diagnosis and Treatment (36 papers), Pancreatic and Hepatic Oncology Research (26 papers), Connective Tissue Growth Factor Research (14 papers), Alcohol Consumption and Health Effects (13 papers), Pancreatic function and diabetes (9 papers) and Cancer, Hypoxia, and Metabolism (9 papers). The work is most often cited by research in Hepatology (3.3k citations), Epidemiology (2.4k citations), Cancer Research (973 citations), Molecular Biology (4.1k citations) and Oncology (1.4k citations). Steven Dooley has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Peter ten Dijke, Christoph Meyer, Honglei Weng, Bedair Dewidar, Axel M. Gressner, K Breitkopf, Peter R. Mertens, Cornelius Welter, Isabel Fabregat and Patrício Godoy. Their work appears in journals such as Journal of Hepatology, Hepatology, Archives of Toxicology, Biochemical and Biophysical Research Communications and PLoS ONE.
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.