Dev Katarey

791 citations
8 papers · 372 · h-index 6

Impact in

    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
  • Hepatology top 10%
    • Liver Disease and Transplantation

Papers in

Dev Katarey

8 papers receiving 368 citations

Peers

Dev Katarey
Comparison fields: 5 of 57
  • Pharmacology 155
  • Hepatology 93
  • Epidemiology 105
  • Oncology 47
  • Pathology and Forensic Medicine 29
Replace Miguel Jiménez‐Pérez with:
Miguel Jiménez‐Pérez Spain
Gebran Abboud United States
Judith Sanabria‐Cabrera Spain
Simona Rossi United States
A. Plaschke Germany
Naga P. Chalasani United States
Yi‐Shin Huang Taiwan
Carmen María Alba Fernández Spain
Byung Min Ahn South Korea
Hacibe Hallal Spain
Dev Katarey relative to Miguel Jiménez‐Pérez Spain Miguel Jiménez‐Pérez's profile →
Citations per field
00.5×1.6×
Miguel Jiménez‐Pérez · 1×
Citations per year

Countries citing papers authored by Dev Katarey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dev Katarey Line = papers co-authored together Dev Katarey links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2016252
2 202047
3 201947
4 202110
5 20209
6 20205
7 20231
8 20171

About Dev Katarey

Dev Katarey is a scholar working on Hepatology, Pathology and Forensic Medicine, Epidemiology, Surgery and General Health Professions, having authored 8 papers that have together received 372 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (4 papers), Alcohol Consumption and Health Effects (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pregnancy and Medication Impact (1 paper), Reproductive System and Pregnancy (1 paper), Homelessness and Social Issues (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Pharmacology (155 citations), Hepatology (93 citations), Epidemiology (105 citations), Oncology (47 citations) and Pathology and Forensic Medicine (29 citations). Dev Katarey has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Sumita Verma, Rachel Westbrook, Robert J. Wong, Nadim Mahmud, Jonathan R. Potts, Constantine Karvellas, Michael Kriss, Robert S. Rahimi, Brett E. Fortune and Lance L. Stein. Their work appears in journals such as The Lancet, JAIDS Journal of Acquired Immune Deficiency Syndromes, Current Opinion in Critical Care, Liver International and Liver Transplantation.

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.

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