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
- Oncology 6
- Cancer Cells and Metastasis 3
- Cancer Treatment and Pharmacology 2
- Co-authors
- Henry W. Strobel (4 shared papers)Wayne L. Backes (5 shared papers)George F. Cawley (4 shared papers)Tze‐Chiang Meng (3 shared papers)James W. Wheless (3 shared papers)William E. Pullman (3 shared papers)Kamil Detyniecki (2 shared papers)Hidenori Kawashima (2 shared papers)
- Journals
- Epilepsia (3 papers)Biochemical Pharmacology (2 papers)Experimental Neurology (1 paper)Scientific Reports (1 paper)Brain Research (1 paper)
- Partner nations
- United States
In The Last Decade
David J. Sequeira
19 papers receiving 355 citations
Peers
Comparison fields: 5 of 77
- Pharmacology 135
- Psychiatry and Mental health 121
- Biochemistry 45
- Pediatrics, Perinatology and Child Health 103
- Cellular and Molecular Neuroscience 83
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 1996 | 43 | |
| 3 | 2019 | 41 | |
| 4 | 1993 | 30 | |
| 5 | 1995 | 28 | |
| 6 | 1992 | 28 | |
| 7 | 1995 | 24 | |
| 8 | 1997 | 19 | |
| 9 | 1994 | 19 | |
| 10 | 1996 | 16 | |
| 11 | 2020 | 12 | |
| 12 | 1988 | 11 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 |
About David J. Sequeira
David J. Sequeira is a scholar working on Pharmacology, Oncology, Molecular Biology, Neurology and Pathology and Forensic Medicine, having authored 19 papers that have together received 366 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Cancer Cells and Metastasis (3 papers), Epilepsy research and treatment (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Cancer Treatment and Pharmacology (2 papers), Alcohol Consumption and Health Effects (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Pharmacology (135 citations), Psychiatry and Mental health (121 citations), Biochemistry (45 citations), Pediatrics, Perinatology and Child Health (103 citations) and Cellular and Molecular Neuroscience (83 citations). David J. Sequeira has collaborated with scholars based in United States. Frequent co-authors include Henry W. Strobel, Wayne L. Backes, George F. Cawley, Tze‐Chiang Meng, James W. Wheless, William E. Pullman, Kamil Detyniecki, Hidenori Kawashima, David R. Nelson and Todd G. Nick. Their work appears in journals such as Epilepsia, Biochemical Pharmacology, Experimental Neurology, Scientific Reports and Brain Research.
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.