George C. Yeoh
Impact in
- Hepatology top 0.2%
- Liver physiology and pathology
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
-
- Pluripotent Stem Cells Research 7
- Hepatology 61
- Liver physiology and pathology 60
- Co-authors
- John K. Olynyk (22 shared papers)Belinda Knight (16 shared papers)Emma Croager (5 shared papers)Evan H. Morgan (9 shared papers)Kym N. Lowes (3 shared papers)Lawrence J. Abraham (10 shared papers)Howard Holtzer (5 shared papers)Barbara A. Brennan (1 shared paper)
- Journals
- Hepatology (11 papers)Carcinogenesis (10 papers)European Journal of Biochemistry (9 papers)The International Journal of Biochemistry & Cell Biology (7 papers)Biochemical Journal (5 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
George C. Yeoh
156 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 138
- Hepatology 2.3k
- Cancer Research 641
- Surgery 1.8k
- Epidemiology 1.2k
- Molecular Biology 2.2k
Countries citing papers authored by George C. Yeoh
This map shows the geographic impact of George C. Yeoh'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 George C. Yeoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George C. Yeoh more than expected).
Fields of papers citing papers by George C. Yeoh
This network shows the impact of papers produced by George C. Yeoh. 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 George C. Yeoh. The network helps show where George C. Yeoh may publish in the future.
Co-authors
The 25 scholars most cited alongside George C. Yeoh, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 353 | |
| 2 | 2000 | 243 | |
| 3 | 2008 | 209 | |
| 4 | 2002 | 176 | |
| 5 | 2001 | 171 | |
| 6 | 1975 | 162 | |
| 7 | 2003 | 158 | |
| 8 | 1975 | 156 | |
| 9 | 1982 | 140 | |
| 10 | 2002 | 133 | |
| 11 | 2010 | 132 | |
| 12 | 2006 | 118 | |
| 13 | 2010 | 113 | |
| 14 | 2017 | 107 | |
| 15 | 2009 | 94 | |
| 16 | 2007 | 86 | |
| 17 | 2007 | 84 | |
| 18 | 2005 | 83 | |
| 19 | 2002 | 78 | |
| 20 | 2005 | 78 |
About George C. Yeoh
George C. Yeoh is a scholar working on Molecular Biology, Hepatology, Surgery, Epidemiology and Oncology, having authored 157 papers that have together received 5.7k indexed citations. Recurring topics across this work include Liver physiology and pathology (60 papers), Pancreatic function and diabetes (33 papers), Liver Disease Diagnosis and Treatment (28 papers), Organ Transplantation Techniques and Outcomes (20 papers), Drug Transport and Resistance Mechanisms (14 papers), Metabolism and Genetic Disorders (13 papers), Erythrocyte Function and Pathophysiology (8 papers) and Pluripotent Stem Cells Research (7 papers). The work is most often cited by research in Hepatology (2.3k citations), Cancer Research (641 citations), Surgery (1.8k citations), Epidemiology (1.2k citations) and Molecular Biology (2.2k citations). George C. Yeoh has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include John K. Olynyk, Belinda Knight, Emma Croager, Evan H. Morgan, Kym N. Lowes, Lawrence J. Abraham, Howard Holtzer, Barbara A. Brennan, Vance B. Matthews and Nelson Fausto. Their work appears in journals such as Hepatology, Carcinogenesis, European Journal of Biochemistry, The International Journal of Biochemistry & Cell Biology and Biochemical Journal.
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.