Hamza Kandoussi
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
- Hepatology 15
- Hepatitis C virus research 15
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- HIV/AIDS drug development and treatment 12
- Co-authors
- Marc Bifano (12 shared papers)Richard Bertz (11 shared papers)Carey Hwang (7 shared papers)Jianing Zeng (10 shared papers)Τushar Garimella (8 shared papers)Hao Jiang (7 shared papers)Mark E. Arnold (7 shared papers)Timothy Eley (8 shared papers)
- Journals
- Antiviral Therapy (4 papers)Bioanalysis (4 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)Drug Metabolism and Disposition (3 papers)Analytical Chemistry (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Hamza Kandoussi
24 papers receiving 544 citations
Peers
Comparison fields: 5 of 62
- Hepatology 307
- Pharmacology 106
- Infectious Diseases 202
- Epidemiology 197
- Oncology 140
Countries citing papers authored by Hamza Kandoussi
This map shows the geographic impact of Hamza Kandoussi'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 Hamza Kandoussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamza Kandoussi more than expected).
Fields of papers citing papers by Hamza Kandoussi
This network shows the impact of papers produced by Hamza Kandoussi. 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 Hamza Kandoussi. The network helps show where Hamza Kandoussi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hamza Kandoussi, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 70 | |
| 2 | 2015 | 60 | |
| 3 | 2018 | 50 | |
| 4 | 2014 | 40 | |
| 5 | 2012 | 34 | |
| 6 | 2012 | 33 | |
| 7 | 2015 | 29 | |
| 8 | 2015 | 28 | |
| 9 | 2014 | 27 | |
| 10 | 2020 | 26 | |
| 11 | 2016 | 21 | |
| 12 | 2015 | 21 | |
| 13 | 2011 | 20 | |
| 14 | 2014 | 17 | |
| 15 | 2018 | 16 | |
| 16 | 2013 | 13 | |
| 17 | 2016 | 11 | |
| 18 | 2013 | 8 | |
| 19 | 2015 | 7 | |
| 20 | 2018 | 6 |
About Hamza Kandoussi
Hamza Kandoussi is a scholar working on Hepatology, Infectious Diseases, Pharmacology, Oncology and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 556 indexed citations. Recurring topics across this work include Hepatitis C virus research (15 papers), HIV/AIDS drug development and treatment (12 papers), Pharmacogenetics and Drug Metabolism (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Pharmacological Effects and Toxicity Studies (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Hepatology (307 citations), Pharmacology (106 citations), Infectious Diseases (202 citations), Epidemiology (197 citations) and Oncology (140 citations). Hamza Kandoussi has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Marc Bifano, Richard Bertz, Carey Hwang, Jianing Zeng, Τushar Garimella, Hao Jiang, Mark E. Arnold, Timothy Eley, Hong Shen and Dennis M. Grasela. Their work appears in journals such as Antiviral Therapy, Bioanalysis, Journal of Pharmaceutical and Biomedical Analysis, Drug Metabolism and Disposition and Analytical Chemistry.
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.