Dev Katarey
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
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- Liver Disease Diagnosis and Treatment 6
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- Liver Disease and Transplantation 5
- Hepatitis C virus research 1
- Co-authors
- Sumita Verma (5 shared papers)Rachel Westbrook (1 shared paper)Michael Kriss (1 shared paper)Brett E. Fortune (1 shared paper)Robert J. Wong (1 shared paper)Rajiv Jalan (1 shared paper)Robert S. Rahimi (1 shared paper)Constantine Karvellas (1 shared paper)
- Journals
- Liver International (1 paper)JAIDS Journal of Acquired Immune Deficiency Syndromes (1 paper)Alimentary Pharmacology & Therapeutics (1 paper)Current Opinion in Critical Care (1 paper)The Lancet (1 paper)
- Partner nations
- United KingdomItalyCanada
In The Last Decade
Dev Katarey
8 papers receiving 348 citations
Peers
Comparison fields: 5 of 65
- Pharmacology 163
- Hepatology 112
- Epidemiology 149
- Toxicology 9
- Pathology and Forensic Medicine 44
Countries citing papers authored by Dev Katarey
This map shows the geographic impact of Dev Katarey'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 Dev Katarey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dev Katarey more than expected).
Fields of papers citing papers by Dev Katarey
This network shows the impact of papers produced by Dev Katarey. 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 Dev Katarey. The network helps show where Dev Katarey may publish in the future.
Co-authors
The 25 scholars most cited alongside Dev Katarey, 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 | 2016 | 233 | |
| 2 | 2019 | 48 | |
| 3 | 2020 | 46 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 8 | |
| 6 | 2020 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2017 | 1 |
About Dev Katarey
Dev Katarey is a scholar working on Epidemiology, Hepatology, Surgery, Pathology and Forensic Medicine and General Health Professions, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (5 papers), Alcohol Consumption and Health Effects (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Pregnancy and preeclampsia studies (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Hepatitis C virus research (1 paper) and HIV-related health complications and treatments (1 paper). The work is most often cited by research in Pharmacology (163 citations), Hepatology (112 citations), Epidemiology (149 citations), Toxicology (9 citations) and Pathology and Forensic Medicine (44 citations). Dev Katarey has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Sumita Verma, Rachel Westbrook, Michael Kriss, Brett E. Fortune, Robert J. Wong, Rajiv Jalan, Robert S. Rahimi, Constantine Karvellas, Jonathan R. Potts and Rajiv Jalan. Their work appears in journals such as Liver International, JAIDS Journal of Acquired Immune Deficiency Syndromes, Alimentary Pharmacology & Therapeutics, Current Opinion in Critical Care and The Lancet.
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.