Julia Graham
Impact in
- Pharmacology top 0.5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Adverse Reactions
- Hepatology top 5%
Papers in
- Genetics 6
- Bacterial Genetics and Biotechnology 3
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- Kruppel-like factors research 1
- Co-authors
- Conrad A. Istock (4 shared papers)Christopher P. Day (2 shared papers)Ann K. Daly (2 shared papers)Guruprasad P. Aithal (2 shared papers)Peter T. Donaldson (2 shared papers)Munir Pirmohamed (2 shared papers)William Bernal (2 shared papers)Heather J. Cordell (1 shared paper)
- Journals
- Evolution (3 papers)Nature Genetics (1 paper)Journal of Hepatology (1 paper)Oncogene (1 paper)Rural and Remote Health (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Julia Graham
9 papers receiving 1.2k citations
Julia Graham's Hit Papers
Peers
Comparison fields: 5 of 88
- Pharmacology 506
- Hepatology 145
- Pharmacology 257
- Toxicology 47
- Oncology 201
Countries citing papers authored by Julia Graham
This map shows the geographic impact of Julia Graham'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 Julia Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Graham more than expected).
Fields of papers citing papers by Julia Graham
This network shows the impact of papers produced by Julia Graham. 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 Julia Graham. The network helps show where Julia Graham may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Graham, 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 | HLA-B*5701 genotype is a major determinant of drug-induced liver injury due to flucloxacillin Hit paper breakdown → | 2009 | 732 |
| 2 | 2004 | 119 | |
| 3 | 1978 | 104 | |
| 4 | 2010 | 103 | |
| 5 | 2005 | 101 | |
| 6 | 1989 | 25 | |
| 7 | 1981 | 17 | |
| 8 | 1989 | 7 | |
| 9 | 2003 | 3 | |
| 10 | 2019 | 0 |
About Julia Graham
Julia Graham is a scholar working on Genetics, Molecular Biology, Sociology and Political Science, Ecology and Pharmacology, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Genetically Modified Organisms Research (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Bacteriophages and microbial interactions (2 papers), Hepatitis C virus research (2 papers), Religion, Society, and Development (1 paper), Kruppel-like factors research (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Pharmacology (506 citations), Hepatology (145 citations), Pharmacology (257 citations), Toxicology (47 citations) and Oncology (201 citations). Julia Graham has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Conrad A. Istock, Christopher P. Day, Ann K. Daly, Guruprasad P. Aithal, Peter T. Donaldson, Munir Pirmohamed, William Bernal, Heather J. Cordell, David B. Goldstein and Sally John. Their work appears in journals such as Evolution, Nature Genetics, Journal of Hepatology, Oncogene and Rural and Remote Health.
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.