Arun Tailor
Impact in
- Pharmacology top 5%
- Drug-Induced Adverse Reactions
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
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- Mast cells and histamine
- Biosimilars and Bioanalytical Methods
Papers in
- Pharmacology 10
- Drug-Induced Adverse Reactions 10
- Drug-Induced Hepatotoxicity and Protection 5
- Pharmacogenetics and Drug Metabolism 2
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- vaccines and immunoinformatics approaches 4
- Co-authors
- Dean J. Naisbitt (16 shared papers)Xiaoli Meng (14 shared papers)J. Waddington (8 shared papers)B. Kevin Park (5 shared papers)Monday O. Ogese (6 shared papers)John Farrell (6 shared papers)Lee Faulkner (4 shared papers)Munir Pirmohamed (6 shared papers)
- Journals
- Chemical Research in Toxicology (6 papers)Toxicological Sciences (4 papers)Hepatology (2 papers)Molecular & Cellular Proteomics (2 papers)Allergy (2 papers)
- Partner nations
- United KingdomUnited StatesThailand
In The Last Decade
Arun Tailor
22 papers receiving 535 citations
Peers
Comparison fields: 5 of 67
- Pharmacology 133
- Pharmacology 200
- Immunology 128
- Hepatology 37
- Toxicology 15
Countries citing papers authored by Arun Tailor
This map shows the geographic impact of Arun Tailor'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 Arun Tailor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Tailor more than expected).
Fields of papers citing papers by Arun Tailor
This network shows the impact of papers produced by Arun Tailor. 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 Arun Tailor. The network helps show where Arun Tailor may publish in the future.
Co-authors
The 25 scholars most cited alongside Arun Tailor, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 74 | |
| 2 | 2016 | 48 | |
| 3 | 2016 | 48 | |
| 4 | 2016 | 39 | |
| 5 | 2020 | 38 | |
| 6 | 2019 | 36 | |
| 7 | 2015 | 30 | |
| 8 | 2019 | 27 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2017 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2019 | 23 | |
| 14 | 2025 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2020 | 11 | |
| 18 | 2018 | 9 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 5 |
About Arun Tailor
Arun Tailor is a scholar working on Pharmacology, Molecular Biology, Immunology, Pharmacology and Hepatology, having authored 22 papers that have together received 547 indexed citations. Recurring topics across this work include Drug-Induced Adverse Reactions (10 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Hepatitis C virus research (5 papers), vaccines and immunoinformatics approaches (4 papers), Mast cells and histamine (3 papers), Immune Cell Function and Interaction (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Pharmacology (133 citations), Pharmacology (200 citations), Immunology (128 citations), Hepatology (37 citations) and Toxicology (15 citations). Arun Tailor has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include Dean J. Naisbitt, Xiaoli Meng, J. Waddington, B. Kevin Park, Monday O. Ogese, John Farrell, Lee Faulkner, Munir Pirmohamed, Ann K. Daly and Paul Whitaker. Their work appears in journals such as Chemical Research in Toxicology, Toxicological Sciences, Hepatology, Molecular & Cellular Proteomics and Allergy.
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.