Daniel Curtis

7.6k total citations · 1 hit paper
41 papers, 3.4k citations indexed

About

Daniel Curtis is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Curtis has authored 41 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Physiology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Curtis's work include Pain Mechanisms and Treatments (12 papers), Neuroscience and Neuropharmacology Research (10 papers) and Ion channel regulation and function (4 papers). Daniel Curtis is often cited by papers focused on Pain Mechanisms and Treatments (12 papers), Neuroscience and Neuropharmacology Research (10 papers) and Ion channel regulation and function (4 papers). Daniel Curtis collaborates with scholars based in United States, Australia and Switzerland. Daniel Curtis's co-authors include Ruth Lehmann, J. C. Eccles, Phillip D. Zamore, J. S. Coombs, Annette L. Parks, William C. de Groat, Javier Apfeld, Graham A.R. Johnston, C.J.A. Game and R.M. McCulloch and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel Curtis

41 papers receiving 3.1k citations

Hit Papers

aph-1 and pen-2 Are Required for Notch Pathway Signaling,... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Curtis United States 28 1.9k 1.3k 851 316 291 41 3.4k
John H. Caldwell United States 34 3.0k 1.6× 2.7k 2.0× 593 0.7× 430 1.4× 386 1.3× 81 4.8k
Anne W. Mudge United Kingdom 26 1.8k 1.0× 2.4k 1.8× 1.1k 1.3× 152 0.5× 272 0.9× 36 3.9k
Phillip G. Nelson United States 35 1.6k 0.9× 1.8k 1.4× 320 0.4× 269 0.9× 284 1.0× 82 3.1k
Veit Witzemann Germany 33 2.9k 1.5× 1.7k 1.3× 317 0.4× 152 0.5× 517 1.8× 87 3.8k
Philippe Brachet France 31 1.1k 0.6× 908 0.7× 379 0.4× 100 0.3× 300 1.0× 76 3.1k
Joseph E. Mazurkiewicz United States 43 2.3k 1.3× 1.4k 1.1× 620 0.7× 175 0.6× 638 2.2× 94 5.0k
Paul J. Price United States 18 1.5k 0.8× 1.2k 0.9× 334 0.4× 133 0.4× 268 0.9× 57 3.0k
Hiroshi Takagi Japan 35 1.6k 0.9× 1.6k 1.2× 397 0.5× 306 1.0× 162 0.6× 119 4.1k
J. Sjöstrand Sweden 36 814 0.4× 788 0.6× 299 0.4× 381 1.2× 345 1.2× 95 3.3k
G. Pilar United States 32 2.1k 1.1× 2.4k 1.8× 253 0.3× 237 0.8× 381 1.3× 47 3.5k

Countries citing papers authored by Daniel Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Curtis. 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 Daniel Curtis. The network helps show where Daniel Curtis may publish in the future.

Co-authorship network of co-authors of Daniel Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Curtis. A scholar is included among the top collaborators of Daniel Curtis 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 Daniel Curtis. Daniel Curtis 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.
Curtis, Daniel, Charles Forsberg, & Humberto García‐Arellano. (2015). Development of Nuclear Renewable Oil Shale Systems for Flexible Electricity and Reduced Fossil Fuel Emissions. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
2.
Kegel, Kimberly B., Ellen Sapp, J. Steven Alexander, et al.. (2010). Huntingtin cleavage product A forms in neurons and is reduced by gamma-secretase inhibitors. Molecular Neurodegeneration. 5(1). 58–58. 16 indexed citations
3.
Parks, Annette L. & Daniel Curtis. (2007). Presenilin diversifies its portfolio. Trends in Genetics. 23(3). 140–150. 125 indexed citations
4.
Francis, Ross S., Jianhua Zhang, David A. Ruddy, et al.. (2002). aph-1 and pen-2 Are Required for Notch Pathway Signaling, γ-Secretase Cleavage of βAPP, and Presenilin Protein Accumulation. Developmental Cell. 3(1). 85–97. 655 indexed citations breakdown →
5.
Curtis, Daniel. (1997). A CCHC metal-binding domain in Nanos is essential for translational regulation. The EMBO Journal. 16(4). 834–843. 103 indexed citations
6.
Gavis, Elizabeth R., Daniel Curtis, & Ruth Lehmann. (1996). Identification ofcis-Acting Sequences That ControlnanosRNA Localization. Developmental Biology. 176(1). 36–50. 110 indexed citations
7.
Curtis, Daniel. (1994). Translational repression as a conserved mechanism for the regulation of embryonic polarity. BioEssays. 16(10). 709–711. 8 indexed citations
8.
Curtis, Daniel, Bruce Gynther, David T. Beattie, David I.B. Kerr, & Rolf H. Prager. (1988). Baclofen antagonism by 2-hydroxy-saclofen in the cat spinal cord. Neuroscience Letters. 92(1). 97–101. 70 indexed citations
9.
Lee, Chong Sung, Daniel Curtis, Margaret McCarron, et al.. (1987). Mutations Affecting Expression of the rosy Locus in Drosophila melanogaster. Genetics. 116(1). 55–66. 80 indexed citations
10.
Bender, Welcome, et al.. (1986). MOLECULAR MAPPING OF THE ROSY LOCUS IN DROSOPHILA MELANOGASTER. Genetics. 112(4). 769–783. 75 indexed citations
11.
Curtis, Daniel & Richard Malík. (1985). The differential effects of baclofen on segmental and descending excitation of spinal interneurones in the cat. Experimental Brain Research. 58(2). 333–7. 37 indexed citations
12.
Curtis, Daniel, Richard Malík, & J.D. Leah. (1984). The effects of naloxone, morphine and methionine enkephalinamide on Ia afferent terminations in the cat spinal cord. Brain Research. 303(2). 289–298. 5 indexed citations
13.
Bornstein, Joel C., et al.. (1980). Selective antagonist activity of 5-aminohex-2-enedioic acid on amino acid excitation of cat spinal neurones. Neuroscience Letters. 16(1). 17–20. 7 indexed citations
14.
Johnston, Graham A.R., Daniel Curtis, P.M. Beart, et al.. (1975). CIS‐ AND TRANS‐4‐AMINOCROTONIC ACID AS GABA ANALOGUES OF RESTRICTED CONFORMATION. Journal of Neurochemistry. 24(1). 157–160. 143 indexed citations
15.
Duggan, A.W. & Daniel Curtis. (1972). Morphine and the synaptic activation of Renshaw cells. Neuropharmacology. 11(2). 189–196. 32 indexed citations
16.
Curtis, Daniel, et al.. (1972). Convulsive action of penicillin. Brain Research. 43(1). 242–245. 139 indexed citations
17.
Curtis, Daniel, A. K. McIntyre, & John C. Eccles. (1965). Studies in physiology : presented to John C. Eccles. Springer eBooks. 2 indexed citations
18.
Curtis, Daniel & A. K. McIntyre. (1965). Studies in Physiology. 58 indexed citations
19.
Curtis, Daniel & J. C. Eccles. (1959). The time courses of excitatory and inhibitory synaptic actions. The Journal of Physiology. 145(3). 529–546. 115 indexed citations
20.
Brooks, V. B., Daniel Curtis, & J. C. Eccles. (1955). Mode of Action of Tetanus Toxin. Nature. 175(4446). 120–121. 45 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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