David J. Sequeira

431 total citations
19 papers, 366 citations indexed

About

David J. Sequeira is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, David J. Sequeira has authored 19 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 6 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in David J. Sequeira's work include Pharmacogenetics and Drug Metabolism (8 papers), Cancer Cells and Metastasis (3 papers) and Epilepsy research and treatment (3 papers). David J. Sequeira is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Cancer Cells and Metastasis (3 papers) and Epilepsy research and treatment (3 papers). David J. Sequeira collaborates with scholars based in United States. David J. Sequeira's co-authors include Henry W. Strobel, Wayne L. Backes, George F. Cawley, James W. Wheless, William E. Pullman, Tze‐Chiang Meng, Kamil Detyniecki, Hidenori Kawashima, David R. Nelson and Todd G. Nick and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Brain Research.

In The Last Decade

David J. Sequeira

19 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David J. Sequeira United States 12 135 121 103 83 59 19 366
Etsuko Usuki United States 10 159 1.2× 98 0.8× 96 0.9× 102 1.2× 115 1.9× 14 429
M. Hugo de Vries Netherlands 10 61 0.5× 77 0.6× 64 0.6× 91 1.1× 55 0.9× 17 321
Ida Rudberg Norway 9 285 2.1× 198 1.6× 102 1.0× 69 0.8× 135 2.3× 11 631
Ashalatha V. Rao India 7 24 0.2× 83 0.7× 82 0.8× 130 1.6× 109 1.8× 13 425
A. von Hodenberg Germany 10 69 0.5× 141 1.2× 138 1.3× 98 1.2× 193 3.3× 17 636
W F Pool United States 10 149 1.1× 43 0.4× 38 0.4× 52 0.6× 87 1.5× 16 328
Vijayalakshmi Ravindranath India 7 170 1.3× 22 0.2× 48 0.5× 96 1.2× 119 2.0× 8 395
E.S. Vesell United States 13 143 1.1× 32 0.3× 56 0.5× 81 1.0× 185 3.1× 21 517
Chiaki Kawanishi Japan 11 121 0.9× 129 1.1× 33 0.3× 44 0.5× 80 1.4× 19 333
Hortencia Montesinos-Correa Mexico 8 22 0.2× 94 0.8× 73 0.7× 104 1.3× 85 1.4× 12 347

Countries citing papers authored by David J. Sequeira

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David J. Sequeira

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Sequeira. A scholar is included among the top collaborators of David J. Sequeira based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Sequeira. David J. Sequeira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bedi, Supinder S., Akshita Kumar, Henry W. Caplan, et al.. (2023). PET imaging of microglia using PBR28suv determines therapeutic efficacy of autologous bone marrow mononuclear cells therapy in traumatic brain injury. Scientific Reports. 13(1). 16142–16142. 1 indexed citations
2.
Olson, Scott D., Juan J. Herrera, Shuning Huang, et al.. (2023). Innate immune activation and white matter injury in a rat model of neonatal intraventricular hemorrhage are dependent on developmental stage. Experimental Neurology. 367. 114472–114472. 6 indexed citations
3.
McNeill, Eoin P., Vikas Gupta, David J. Sequeira, Noah F. Shroyer, & Allison L. Speer. (2022). Evaluation of Murine Host Sex as a Biological Variable in Transplanted Human Intestinal Organoid Development. Digestive Diseases and Sciences. 67(12). 5511–5521. 1 indexed citations
4.
McNeill, Eoin P., et al.. (2022). Investigation of murine host sex as a biological variable in epithelial barrier function and muscle contractility in human intestinal organoids. The FASEB Journal. 36(11). e22613–e22613. 1 indexed citations
5.
Edelman, Steven V., et al.. (2021). A Phase 2 Evaluation of a Novel Co-Formulation of Pramlintide and Regular Insulin to Improve Postprandial Glycemic Control in Adults with Type 1 Diabetes (T1D). Journal of the Endocrine Society. 5(Supplement_1). A327–A328. 1 indexed citations
6.
Kumar, Akshita, David J. Sequeira, Alan R. Prossin, et al.. (2021). PET Imaging of Peripheral Benzodiazepine Receptor Standard Uptake Value Increases After Controlled Cortical Impact, a Rodent Model of Traumatic Brain Injury. ASN NEURO. 13(1). 3771885047–3771885047. 1 indexed citations
8.
Sequeira, David J., et al.. (2020). In Vivo Transplantation of Human Intestinal Organoids Enhances Select Tight Junction Gene Expression. Journal of Surgical Research. 259. 500–508. 7 indexed citations
10.
11.
Yuan, Wei, et al.. (1997). Time Course for the Modulation of Hepatic Cytochrome P450 after Administration of Ethylbenzene and Its Correlation with Toluene Metabolism. Archives of Biochemistry and Biophysics. 339(1). 55–63. 19 indexed citations
12.
Kawashima, Hidenori, David J. Sequeira, David R. Nelson, & Henry W. Strobel. (1996). Genomic Cloning and Protein Expression of a Novel Rat Brain Cytochrome P-450 CYP2D18* Catalyzing Imipramine N-Demethylation. Journal of Biological Chemistry. 271(45). 28176–28180. 43 indexed citations
13.
Sequeira, David J. & Henry W. Strobel. (1996). In vitro metabolism of imipramine by brain microsomes: effects of inhibitors and exogenous cytochrome P450 reductase. Brain Research. 738(1). 24–31. 16 indexed citations
14.
Strobel, Henry W., Hidenori Kawashima, David J. Sequeira, et al.. (1995). Expression of multiple forms of brain cytochrome P450. Toxicology Letters. 82-83. 639–643. 28 indexed citations
15.
Sequeira, David J. & Henry W. Strobel. (1995). High-performance liquid chromatographic method for the analysis of imipramine metabolism in vitro by liver and brain microsomes. Journal of Chromatography B Biomedical Sciences and Applications. 673(2). 251–258. 24 indexed citations
16.
Sequeira, David J., et al.. (1994). Temporal changes in P-4502E1 expression with continued ethylbenzene exposure. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1207(2). 179–186. 19 indexed citations
17.
Backes, Wayne L., et al.. (1993). Relationship between hydrocarbon structure and induction of P450: effects on protein levels and enzyme activities. Xenobiotica. 23(12). 1353–1366. 30 indexed citations
18.
Sequeira, David J., et al.. (1992). Ethylbenzene-mediated induction of cytochrome P450 isozymes in male and female rats. Biochemical Pharmacology. 44(6). 1171–1182. 28 indexed citations
19.
Raeburn, David, David J. Sequeira, & Wayne L. Backes. (1988). Possible involvement of cytochrome P-450 in the epithelium-modulated response to methacholine in guinea pig trachea. Biochemical Pharmacology. 37(4). 573–576. 11 indexed citations

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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