David J. Begley

13.9k total citations · 2 hit papers
78 papers, 10.3k citations indexed

About

David J. Begley is a scholar working on Oncology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David J. Begley has authored 78 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 19 papers in Molecular Biology and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in David J. Begley's work include Drug Transport and Resistance Mechanisms (29 papers), Barrier Structure and Function Studies (16 papers) and Neuroscience and Neuropharmacology Research (14 papers). David J. Begley is often cited by papers focused on Drug Transport and Resistance Mechanisms (29 papers), Barrier Structure and Function Studies (16 papers) and Neuroscience and Neuropharmacology Research (14 papers). David J. Begley collaborates with scholars based in United Kingdom, Germany and United States. David J. Begley's co-authors include N. Joan Abbott, Diana E. M. Dolman, Siti R. Yusof, Adjanie Patabendige, Jörg Kreuter, Andreas Reichel, Milton Brightman, Berislav V. Zloković, Peter Ramge and Hagen von Briesen and has published in prestigious journals such as The Journal of Physiology, Annals of Neurology and Brain Research.

In The Last Decade

David J. Begley

78 papers receiving 10.0k citations

Hit Papers

Structure and function of the blood–brain barrier 2004 2026 2011 2018 2009 2004 1000 2.0k 3.0k

Peers

David J. Begley
Ignacio A. Romero United Kingdom
Luca Cucullo United States
Helga E. de Vries Netherlands
Kenneth L. Audus United States
David J. Begley
Citations per year, relative to David J. Begley David J. Begley (= 1×) peers Roméo Cecchelli

Countries citing papers authored by David J. Begley

Since Specialization
Citations

This map shows the geographic impact of David J. Begley'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. Begley 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. Begley more than expected).

Fields of papers citing papers by David J. Begley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Begley. 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. Begley. The network helps show where David J. Begley may publish in the future.

Co-authorship network of co-authors of David J. Begley

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Begley. A scholar is included among the top collaborators of David J. Begley 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. Begley. David J. Begley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Calias, Pericles, William A. Banks, David J. Begley, Maurizio Scarpa, & Patricia Dickson. (2014). Intrathecal delivery of protein therapeutics to the brain: A critical reassessment. Pharmacology & Therapeutics. 144(2). 114–122. 120 indexed citations
2.
Watson, Chris, Larisa Mihoreanu, David J. Begley, et al.. (2011). The transport of nifurtimox, an anti-trypanosomal drug, in an in vitro model of the human blood–brain barrier: Evidence for involvement of breast cancer resistance protein. Brain Research. 1436. 111–121. 20 indexed citations
3.
Begley, David J., et al.. (2010). Human serum albumin nanoparticles modified with apolipoprotein A-I cross the blood-brain barrier and enter the rodent brain. Journal of drug targeting. 18(10). 842–848. 94 indexed citations
4.
Summerfield, Scott, Kevin D. Read, David J. Begley, et al.. (2007). Central Nervous System Drug Disposition: The Relationship between in Situ Brain Permeability and Brain Free Fraction. Journal of Pharmacology and Experimental Therapeutics. 322(1). 205–213. 225 indexed citations
5.
Chishty, Mansoor, David J. Begley, N. Joan Abbott, & Andreas Reichel. (2004). Interaction of Nucleoside Analogues with Nucleoside Transporters in Rat Brain Endothelial Cells. Journal of drug targeting. 12(5). 265–272. 12 indexed citations
6.
Begley, David J.. (2004). Delivery of therapeutic agents to the central nervous system: the problems and the possibilities. Pharmacology & Therapeutics. 104(1). 29–45. 507 indexed citations breakdown →
7.
Begley, David J.. (2004). ABC Transporters and the Blood-Brain Barrier. Current Pharmaceutical Design. 10(12). 1295–1312. 399 indexed citations
8.
Chishty, Mansoor, et al.. (2003). Functional characterisation of nucleoside transport in rat brain endothelial cells. Neuroreport. 14(7). 1087–1090. 24 indexed citations
9.
Krämer, Stefanie D., et al.. (2002). LIPIDS IN BLOOD–BRAIN BARRIER MODELS IN VITRO I: THIN-LAYER CHROMATOGRAPHY AND HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY FOR THE ANALYSIS OF LIPID CLASSES AND LONG-CHAIN POLYUNSATURATED FATTY ACIDS. In Vitro Cellular & Developmental Biology - Animal. 38(10). 557–557. 22 indexed citations
10.
Reichel, Andreas, N. Joan Abbott, & David J. Begley. (2002). Evaluation of the RBE4 Cell Line to Explore Carrier-mediated Drug Delivery to the CNS Via the L-system Amino Acid Transporter At the Blood-Brain Barrier. Journal of drug targeting. 10(4). 277–283. 16 indexed citations
11.
Chishty, Mansoor, Andreas Reichel, David J. Begley, & N. Joan Abbott. (2002). Glial induction of blood‐brain barrier‐Like L‐system amino acid transport in the ECV304 cell line. Glia. 39(2). 99–104. 8 indexed citations
12.
Krämer, Stefanie D., et al.. (2002). LIPIDS IN BLOOD–BRAIN BARRIER MODELS IN VITRO II: INFLUENCE OF GLIAL CELLS ON LIPID CLASSES AND LIPID FATTY ACIDS. In Vitro Cellular & Developmental Biology - Animal. 38(10). 566–566. 23 indexed citations
13.
Begley, David J. & Jörg Kreuter. (2002). Preface. Journal of drug targeting. 10(4). 261–262. 1 indexed citations
14.
Reichel, Andreas & David J. Begley. (1998). Potential of Immobilized Artificial Membranes for Predicting Drug Penetration Across the Blood−Brain Barrier. Pharmaceutical Research. 15(8). 1270–1274. 94 indexed citations
16.
Begley, David J., Andreas Reichel, & A. Ermisch. (1994). Simple high-performance liquid chromatographic analysis of free primary amino acid concentrations in rat plasma and cisternal cerebrospinal fluid. Journal of Chromatography B Biomedical Sciences and Applications. 657(1). 185–191. 24 indexed citations
17.
Begley, David J.. (1994). Peptides and the Blood–Brain Barrier: The Status of Our Understanding. Annals of the New York Academy of Sciences. 739(1). 89–100. 39 indexed citations
18.
Begley, David J.. (1992). Chapter 24: The interaction of some centrally active drugs with the blood-brain barrier and circumventricular organs. Progress in brain research. 91. 163–169. 24 indexed citations
19.
Rakić, Ljubiša, Berislav V. Zloković, Hugh Davson, et al.. (1989). Chronic amphetamine intoxication and the blood-brain barrier permeability to inert polar molecules studied in the vascularly perfused guinea pig brain. Journal of the Neurological Sciences. 94(1-3). 41–50. 11 indexed citations
20.
Zloković, Berislav V., M. N. Lipovac, David J. Begley, Hugh Davson, & Ljubiša Rakić. (1988). Slow Penetration of Thyrotropin‐Releasing Hormone Across the Blood‐Brain Barrier of an In Situ Perfused Guinea Pig Brain. Journal of Neurochemistry. 51(1). 252–257. 72 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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