David J. Sequeira
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
Papers in
-
- Pharmacogenetics and Drug Metabolism 8
- Co-authors
- Henry W. Strobel (4 shared papers)Wayne L. Backes (5 shared papers)William E. Pullman (3 shared papers)James W. Wheless (3 shared papers)George F. Cawley (4 shared papers)Charles S. Eyer (4 shared papers)Tze‐Chiang Meng (3 shared papers)Kamil Detyniecki (2 shared papers)
- Journals
- Epilepsia (3 papers)Biochemical Pharmacology (2 papers)ASN NEURO (1 paper)Brain Research (1 paper)Xenobiotica (1 paper)
- Partner nations
- United States
In The Last Decade
David J. Sequeira
20 papers receiving 369 citations
Peers
Comparison fields: 5 of 73
- Pharmacology 137
- Psychiatry and Mental health 118
- Biochemistry 46
- Pediatrics, Perinatology and Child Health 74
- Cellular and Molecular Neuroscience 67
Countries citing papers authored by David J. Sequeira
This map shows the geographic impact of David J. Sequeira'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 David J. Sequeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Sequeira more than expected).
Fields of papers citing papers by David J. Sequeira
This network shows the impact of papers produced by David J. Sequeira. 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 David J. Sequeira. The network helps show where David J. Sequeira may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Sequeira, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 81 | |
| 2 | 1996 | 44 | |
| 3 | 2019 | 43 | |
| 4 | 1993 | 30 | |
| 5 | 1995 | 29 | |
| 6 | 1992 | 28 | |
| 7 | 1995 | 25 | |
| 8 | 1997 | 20 | |
| 9 | 1994 | 19 | |
| 10 | 1996 | 16 | |
| 11 | 2020 | 12 | |
| 12 | 1988 | 12 | |
| 13 | 2020 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2006 | 1 |
About David J. Sequeira
David J. Sequeira is a scholar working on Pharmacology, Molecular Biology, Oncology, Neurology and Physiology, having authored 21 papers that have together received 379 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Epilepsy research and treatment (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Cancer Treatment and Pharmacology (2 papers), Barrier Structure and Function Studies (2 papers), Cancer Cells and Metastasis (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Pharmacology (137 citations), Psychiatry and Mental health (118 citations), Biochemistry (46 citations), Pediatrics, Perinatology and Child Health (74 citations) and Cellular and Molecular Neuroscience (67 citations). David J. Sequeira has collaborated with scholars based in United States. Frequent co-authors include Henry W. Strobel, Wayne L. Backes, William E. Pullman, James W. Wheless, George F. Cawley, Charles S. Eyer, Tze‐Chiang Meng, Kamil Detyniecki, Hidenori Kawashima and David R. Nelson. Their work appears in journals such as Epilepsia, Biochemical Pharmacology, ASN NEURO, Brain Research and Xenobiotica.
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.