Daniel Curtis
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Aging top 5%
Papers in
-
- RNA Research and Splicing 4
- Ion channel regulation and function 4
- Developmental Biology and Gene Regulation 3
- RNA modifications and cancer 3
- Physiology 15
- Pain Mechanisms and Treatments 12
- Co-authors
- Ruth Lehmann (4 shared papers)J. C. Eccles (3 shared papers)Phillip D. Zamore (2 shared papers)J. S. Coombs (1 shared paper)Annette L. Parks (3 shared papers)William C. de Groat (1 shared paper)T. J. Biscoe (1 shared paper)Javier Apfeld (2 shared papers)
- Journals
- Experimental Brain Research (5 papers)Genetics (4 papers)Brain Research (3 papers)The Journal of Physiology (3 papers)Nature (2 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Daniel Curtis
41 papers receiving 3.3k citations
Daniel Curtis's Hit Papers
Peers
Comparison fields: 5 of 140
- Cellular and Molecular Neuroscience 1.4k
- Aging 80
- Physiology 901
- Molecular Biology 1.9k
- Neurology 208
Countries citing papers authored by Daniel Curtis
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
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-authors
The 25 scholars most cited alongside Daniel Curtis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | aph-1 and pen-2 Are Required for Notch Pathway Signaling, γ-Secretase Cleavage of βAPP, and Presenilin Protein Accumulation Hit paper breakdown → | 2002 | 684 |
| 2 | 1995 | 365 | |
| 3 | 1957 | 347 | |
| 4 | 1968 | 176 | |
| 5 | 1975 | 162 | |
| 6 | 1972 | 154 | |
| 7 | 1966 | 150 | |
| 8 | 1981 | 131 | |
| 9 | 2007 | 129 | |
| 10 | 1959 | 125 | |
| 11 | 1996 | 113 | |
| 12 | 1987 | 107 | |
| 13 | 1997 | 105 | |
| 14 | 1995 | 90 | |
| 15 | 1987 | 82 | |
| 16 | 1986 | 78 | |
| 17 | 1965 | 77 | |
| 18 | 1988 | 75 | |
| 19 | 1969 | 65 | |
| 20 | 1957 | 61 |
About Daniel Curtis
Daniel Curtis is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Mechanical Engineering and Pharmacology, having authored 42 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Neuroscience and Neuropharmacology Research (10 papers), RNA Research and Splicing (4 papers), Ion channel regulation and function (4 papers), Developmental Biology and Gene Regulation (3 papers), Plant-based Medicinal Research (3 papers), RNA modifications and cancer (3 papers) and Carbon Dioxide Capture Technologies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Aging (80 citations), Physiology (901 citations), Molecular Biology (1.9k citations) and Neurology (208 citations). Daniel Curtis has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Ruth Lehmann, J. C. Eccles, Phillip D. Zamore, J. S. Coombs, Annette L. Parks, William C. de Groat, T. J. Biscoe, Javier Apfeld, Graham A.R. Johnston and C.J.A. Game. Their work appears in journals such as Experimental Brain Research, Genetics, Brain Research, The Journal of Physiology and Nature.
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.