Matthew R. Sharpe
- Pharmacology top 0.2%
- Drug-Induced Hepatotoxicity and Protection 10
- Hepatology top 2%
- Liver Disease and Transplantation 7
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 3
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 5
- Ophthalmology top 5%
- Ocular Infections and Treatments 1
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- Patient Safety and Medication Errors 2
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- Simulation-Based Education in Healthcare 2
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- School Health and Nursing Education 1
- Co-authors
- Mitchell R. McGillHartmut JaeschkeC. David WilliamsSteven C. CurryMuhammad TahaVincent S. StaggsWilliam M. LeeMary Lynn Bajt
- Cited by
- PharmacologyHepatologyEpidemiology
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Matthew R. Sharpe
18 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Pharmacology 846
- Hepatology 494
- Epidemiology 399
- Oncology 246
- Ophthalmology 61
Countries citing papers authored by Matthew R. Sharpe
This map shows the geographic impact of Matthew R. Sharpe'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 Matthew R. Sharpe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. Sharpe more than expected).
Fields of papers citing papers by Matthew R. Sharpe
This network shows the impact of papers produced by Matthew R. Sharpe. 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 Matthew R. Sharpe. The network helps show where Matthew R. Sharpe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew R. Sharpe, 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 | 23 | |
| 2 | 2020 | 1 | |
| 3 | 2018 | 19 | |
| 4 | 2016 | 34 | |
| 5 | 2016 | 10 | |
| 6 | 2015 | 57 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 4 | |
| 9 | 2014 | 129 | |
| 10 | 2014 | 122 | |
| 11 | 2014 | 65 | |
| 12 | 2014 | 22 | |
| 13 | 2013 | 94 | |
| 14 | The mechanism underlying acetaminophen-induced hepatotoxicity in humans and mice involves mitochondrial damage and nuclear DNA fragmentationbreakdown → | 2012 | 569 |
| 15 | 2012 | 25 | |
| 16 | 2012 | 5 | |
| 17 | 1996 | 42 | |
| 18 | 1992 | 42 |
About Matthew R. Sharpe
Matthew R. Sharpe is a scholar working on Pharmacology, Hepatology, Emergency Medical Services, Ophthalmology and Oncology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (10 papers), Liver Disease and Transplantation (7 papers), Drug Transport and Resistance Mechanisms (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Patient Safety and Medication Errors (2 papers), Simulation-Based Education in Healthcare (2 papers), School Health and Nursing Education (1 paper) and Ocular Infections and Treatments (1 paper). The work is most often cited by research in Pharmacology (846 citations), Hepatology (494 citations), Epidemiology (399 citations), Oncology (246 citations) and Ophthalmology (61 citations). Matthew R. Sharpe has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Mitchell R. McGill, Hartmut Jaeschke, C. David Williams, Steven C. Curry, Muhammad Taha, Vincent S. Staggs, William M. Lee, Mary Lynn Bajt, Anwar Farhood and Benjamin L. Woolbright. Their work appears in journals such as CHEST Journal, Liver International, Biomarkers, JAMA Network Open and Journal of Clinical Investigation.
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.