Julian Leathart
- Pharmacology top 0.1%
- Pharmacogenetics and Drug Metabolism 13
- Drug-Induced Hepatotoxicity and Protection 5
- Hepatology top 1%
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- Diet, Metabolism, and Disease 4
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 8
- Biochemistry top 2%
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- Drug Transport and Resistance Mechanisms 8
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- Alcohol Consumption and Health Effects 5
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- Endoplasmic Reticulum Stress and Disease 4
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- Lipid metabolism and disorders 3
- Co-authors
- Ann K. DalyChristopher P. DayGuruprasad P. AithalQuentin M. AnsteeHelen L. ReevesAlastair D. BurtDavid L. GallyJean‐François Dufour
- Partner nations
- United KingdomItalyAustralia
In The Last Decade
Julian Leathart
37 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Pharmacology 1.4k
- Hepatology 576
- Endocrinology, Diabetes and Metabolism 901
- Epidemiology 1.6k
- Biochemistry 268
Countries citing papers authored by Julian Leathart
This map shows the geographic impact of Julian Leathart'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 Julian Leathart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Leathart more than expected).
Fields of papers citing papers by Julian Leathart
This network shows the impact of papers produced by Julian Leathart. 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 Julian Leathart. The network helps show where Julian Leathart may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julian Leathart, 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 | TM6SF2 rs58542926 influences hepatic fibrosis progression in patients with non-alcoholic fatty liver diseasebreakdown → | 2014 | 454 |
| 2 | 2011 | 9 | |
| 3 | 2011 | 26 | |
| 4 | 2011 | 62 | |
| 5 | 2010 | 143 | |
| 6 | Genetic evidence for a role for gut flora in the pathogenesis of NASH in humans | 2006 | 8 |
| 7 | 2006 | 236 | |
| 8 | 2005 | 287 | |
| 9 | 2004 | 146 | |
| 10 | 2003 | 29 | |
| 11 | 2003 | 43 | |
| 12 | 2003 | 63 | |
| 13 | Genetic evidence supporting the two-hit model of NASH pathogenesis | 2002 | 4 |
| 14 | 2002 | 197 | |
| 15 | 2001 | 38 | |
| 16 | 2000 | 69 | |
| 17 | 1998 | 32 | |
| 18 | 1998 | 85 | |
| 19 | 1996 | 76 | |
| 20 | 1992 | 53 |
About Julian Leathart
Julian Leathart is a scholar working on Pharmacology, Endocrinology and Hepatology, having authored 37 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Drug Transport and Resistance Mechanisms (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Alcohol Consumption and Health Effects (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Diet, Metabolism, and Disease (4 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Pharmacology (1.4k citations), Hepatology (576 citations) and Endocrinology, Diabetes and Metabolism (901 citations). Julian Leathart has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include Ann K. Daly, Christopher P. Day, Guruprasad P. Aithal, Quentin M. Anstee, Helen L. Reeves, Alastair D. Burt, David L. Gally, Jean‐François Dufour, A.-C. Piguet and Gillian Patman. Their work appears in journals such as New England Journal of Medicine, Nature Communications and Blood.
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.