Geoff Farrell
Impact in
- Hepatology top 2%
- Liver Disease and Transplantation
- Liver Diseases and Immunity
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment
Papers in
-
- Liver Disease and Transplantation 4
- Hepatitis C virus research 3
-
- Liver Disease Diagnosis and Treatment 9
- Co-authors
- Narci TeohIsabelle LeclercqVincent Wai‐Sun WongRobert S. McCuskeyPauline de la Μ. HallEmilia IpGraham RobertsonShivakumar Chitturi
- Journals
- Journal of Gastroenterology and Hepatology (6 papers)The Medical Journal of Australia (2 papers)Hepatology (2 papers)British Journal of Haematology (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- AustraliaHong KongUnited States
In The Last Decade
Geoff Farrell
14 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Hepatology 516
- Epidemiology 1.2k
- Endocrinology, Diabetes and Metabolism 490
- Pathology and Forensic Medicine 193
- Cell Biology 124
Countries citing papers authored by Geoff Farrell
This map shows the geographic impact of Geoff Farrell'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 Geoff Farrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Farrell more than expected).
Fields of papers citing papers by Geoff Farrell
This network shows the impact of papers produced by Geoff Farrell. 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 Geoff Farrell. The network helps show where Geoff Farrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Geoff Farrell, 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 | 2022 | 0 | |
| 2 | 2020 | 11 | |
| 3 | 2019 | 4 | |
| 4 | 2018 | 232 | |
| 5 | 2017 | 129 | |
| 6 | Asia–Pacific Working Party on Non‐alcoholic Fatty Liver Disease guidelines 2017—Part 1: Definition, risk factors and assessment Hit paper breakdown → | 2017 | 371 |
| 7 | 2014 | 13 | |
| 8 | 2011 | 129 | |
| 9 | 2010 | 29 | |
| 10 | 2008 | 198 | |
| 11 | 2004 | 319 | |
| 12 | 2002 | 7 | |
| 13 | 2002 | 21 | |
| 14 | 2002 | 4 | |
| 15 | 1999 | 22 |
About Geoff Farrell
Geoff Farrell is a scholar working on Hepatology, Epidemiology, Endocrinology, Diabetes and Metabolism, Physiology and Genetics, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Liver Disease and Transplantation (4 papers), Hepatitis C virus research (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Diet, Metabolism, and Disease (2 papers), Pancreatitis Pathology and Treatment (2 papers), Adipose Tissue and Metabolism (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Hepatology (516 citations), Epidemiology (1.2k citations), Endocrinology, Diabetes and Metabolism (490 citations), Pathology and Forensic Medicine (193 citations) and Cell Biology (124 citations). Geoff Farrell has collaborated with scholars based in Australia, Hong Kong and United States. Frequent co-authors include Narci Teoh, Isabelle Leclercq, Vincent Wai‐Sun Wong, Robert S. McCuskey, Pauline de la Μ. Hall, Emilia Ip, Graham Robertson, Shivakumar Chitturi, Jörn M. Schattenberg and Robert Goldin. Their work appears in journals such as Journal of Gastroenterology and Hepatology, The Medical Journal of Australia, Hepatology, British Journal of Haematology and Journal of Hepatology.
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.