Jonathan D. Best

1.5k total citations
18 papers, 1.2k citations indexed

About

Jonathan D. Best is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jonathan D. Best has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jonathan D. Best's work include Alzheimer's disease research and treatments (7 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Jonathan D. Best is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Jonathan D. Best collaborates with scholars based in United Kingdom and United States. Jonathan D. Best's co-authors include Jennifer Loros, Anton Bittner, Giles E. Duffield, Bernhard H. Meurers, Jay Dunlap, Nessa Carey, Karen L. Smith, Elizabeth S. Maywood, Michael H. Hastings and Mark S. Shearman and has published in prestigious journals such as Journal of Neuroscience, Current Biology and Journal of Medicinal Chemistry.

In The Last Decade

Jonathan D. Best

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan D. Best United Kingdom 16 394 385 354 256 242 18 1.2k
Andrew Giovanni United States 16 414 1.1× 403 1.0× 548 1.5× 773 3.0× 98 0.4× 23 1.7k
Jonathan A. Gastel United States 12 945 2.4× 173 0.4× 585 1.7× 502 2.0× 72 0.3× 18 1.8k
A. Lamouroux France 21 412 1.0× 323 0.8× 1.1k 3.1× 937 3.7× 291 1.2× 27 2.3k
Kristen M.S. O’Connell United States 18 174 0.4× 318 0.8× 1.0k 2.9× 556 2.2× 160 0.7× 41 1.5k
Carlo Breda United Kingdom 15 167 0.4× 150 0.4× 395 1.1× 371 1.4× 120 0.5× 22 1.1k
Minoru Saitoe Japan 24 191 0.5× 138 0.4× 798 2.3× 1.2k 4.6× 332 1.4× 48 1.9k
David Kokel United States 21 141 0.4× 94 0.2× 1.2k 3.3× 438 1.7× 1.2k 5.1× 25 2.4k
Hyeong-Min Lee United States 15 527 1.3× 183 0.5× 596 1.7× 281 1.1× 26 0.1× 23 1.3k
Ruifeng Cao United States 21 717 1.8× 393 1.0× 610 1.7× 391 1.5× 85 0.4× 40 1.7k
Balaji Krishnan United States 17 482 1.2× 241 0.6× 246 0.7× 698 2.7× 25 0.1× 40 1.1k

Countries citing papers authored by Jonathan D. Best

Since Specialization
Citations

This map shows the geographic impact of Jonathan D. Best'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 Jonathan D. Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Best more than expected).

Fields of papers citing papers by Jonathan D. Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Best. 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 Jonathan D. Best. The network helps show where Jonathan D. Best may publish in the future.

Co-authorship network of co-authors of Jonathan D. Best

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

All Works

18 of 18 papers shown
1.
2.
Best, Jonathan D. & Nessa Carey. (2011). The Epigenetics of Normal Pregnancy. Obstetric Medicine. 6(1). 3–7. 15 indexed citations
3.
Best, Jonathan D. & Nessa Carey. (2010). Epigenetic therapies for non-oncology indications. Drug Discovery Today. 15(23-24). 1008–1014. 23 indexed citations
4.
Best, Jonathan D. & Nessa Carey. (2009). Epigenetic opportunities and challenges in cancer. Drug Discovery Today. 15(1-2). 65–70. 43 indexed citations
5.
Keown, Linda E., Ian Collins, Timothy Harrison, et al.. (2009). Novel Orally Bioavailable γ-Secretase Inhibitors with Excellent in Vivo Activity. Journal of Medicinal Chemistry. 52(11). 3441–3444. 17 indexed citations
6.
Best, Jonathan D.. (2008). Zebrafish: An in vivo model for the study of neurological diseases. Neuropsychiatric Disease and Treatment. 4(3). 567–567. 151 indexed citations
7.
Best, Jonathan D., et al.. (2007). Non-Associative Learning in Larval Zebrafish. Neuropsychopharmacology. 33(5). 1206–1215. 178 indexed citations
8.
Best, Jonathan D., David W. Smith, Michael Reilly, et al.. (2006). The Novel γ Secretase Inhibitor N-[cis-4-[(4-Chlorophenyl)sulfonyl]-4-(2,5-difluorophenyl)cyclohexyl]-1,1,1-trifluoromethanesulfonamide (MRK-560) Reduces Amyloid Plaque Deposition without Evidence of Notch-Related Pathology in the Tg2576 Mouse. Journal of Pharmacology and Experimental Therapeutics. 320(2). 552–558. 64 indexed citations
9.
Goggi, Julian, Huw D. Lewis, Joanie Mok, et al.. (2006). A comparative assessment of γ-secretase activity in transgenic and non-transgenic rodent brain. Journal of Neuroscience Methods. 157(2). 246–252. 4 indexed citations
10.
Shaw, Duncan, Jonathan D. Best, Alan Nadin, et al.. (2006). 3,4-Fused cyclohexyl sulfones as γ-secretase inhibitors. Bioorganic & Medicinal Chemistry Letters. 16(11). 3073–3077. 22 indexed citations
11.
Best, Jonathan D., Ian Churcher, Michael Reilly, et al.. (2006). In Vivo Characterization of Aβ(40) Changes in Brain and Cerebrospinal Fluid Using the Novel γ-Secretase Inhibitor N-[cis-4-[(4-Chlorophenyl)sulfonyl]-4-(2,5-difluorophenyl)cyclohexyl]-1,1,1-trifluoromethanesulfonamide (MRK-560) in the Rat. Journal of Pharmacology and Experimental Therapeutics. 317(2). 786–790. 50 indexed citations
12.
Sparey, Tim, Dirk Beher, Jonathan D. Best, et al.. (2005). Cyclic sulfamide γ-secretase inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(19). 4212–4216. 44 indexed citations
13.
14.
Churcher, Ian, Dirk Beher, Jonathan D. Best, et al.. (2005). 4-Substituted cyclohexyl sulfones as potent, orally active γ-secretase inhibitors. Bioorganic & Medicinal Chemistry Letters. 16(2). 280–284. 61 indexed citations
15.
Lewis, Stephen J., Adrian L. Smith, Joseph G. Neduvelil, et al.. (2004). A novel series of potent γ-secretase inhibitors based on a benzobicyclo[4.2.1]nonane core. Bioorganic & Medicinal Chemistry Letters. 15(2). 373–378. 35 indexed citations
16.
Duffield, Giles E., Jonathan D. Best, Bernhard H. Meurers, et al.. (2002). Circadian Programs of Transcriptional Activation, Signaling, and Protein Turnover Revealed by Microarray Analysis of Mammalian Cells. Current Biology. 12(7). 551–557. 284 indexed citations
17.
Best, Jonathan D., Elizabeth S. Maywood, Karen L. Smith, & Michael H. Hastings. (1999). Rapid Resetting of the Mammalian Circadian Clock. Journal of Neuroscience. 19(2). 828–835. 104 indexed citations
18.
Hastings, Michael H., Jonathan D. Best, Francis J. P. Ebling, et al.. (1996). Chapter 11 Entrainment of the circadian clock. Progress in brain research. 111. 147–174. 39 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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