Daniel L. Alkon
Impact in
- Cellular and Molecular Neuroscience top 0.05%
- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 119
- Neurobiology and Insect Physiology Research 70
- Neurology 36
- Co-authors
- Thomas J. NelsonMiao‐Kun SunWeiqin ZhaoBernard G. SchreursJarin HongpaisanJohn F. DisterhoftJoseph FarleyThomas P. Vogl
- Journals
- Proceedings of the National Academy of Sciences (30 papers)Science (15 papers)Journal of Alzheimer s Disease (14 papers)Brain Research (13 papers)Journal of Biological Chemistry (11 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Daniel L. Alkon
314 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Cellular and Molecular Neuroscience 8.2k
- Neurology 2.0k
- Cognitive Neuroscience 3.4k
- Sensory Systems 671
- Developmental Neuroscience 569
Countries citing papers authored by Daniel L. Alkon
This map shows the geographic impact of Daniel L. Alkon'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 L. Alkon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Alkon more than expected).
Fields of papers citing papers by Daniel L. Alkon
This network shows the impact of papers produced by Daniel L. Alkon. 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 L. Alkon. The network helps show where Daniel L. Alkon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel L. Alkon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2022 | 16 | |
| 3 | 2017 | 89 | |
| 4 | 2015 | 10 | |
| 5 | 2012 | 35 | |
| 6 | 2005 | 72 | |
| 7 | 2002 | 54 | |
| 8 | 1999 | 27 | |
| 9 | 1996 | 56 | |
| 10 | 1994 | 48 | |
| 11 | Processing temporal sequences with a biologically-based artificial network | 1993 | 1 |
| 12 | 1993 | 97 | |
| 13 | 1990 | 13 | |
| 14 | Computer Modeling of Associative Learning | 1988 | 5 |
| 15 | Primary neural substrates of learning and behavioral change | 1984 | 88 |
| 16 | 1979 | 23 | |
| 17 | 1974 | 103 | |
| 18 | 1973 | 44 | |
| 19 | 1973 | 57 | |
| 20 | 1972 | 112 |
About Daniel L. Alkon
Daniel L. Alkon is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Sensory Systems and Physiology, having authored 315 papers that have together received 16.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (119 papers), Neurobiology and Insect Physiology Research (70 papers), Alzheimer's disease research and treatments (55 papers), Memory and Neural Mechanisms (44 papers), Cholinesterase and Neurodegenerative Diseases (33 papers), Ion channel regulation and function (30 papers), Receptor Mechanisms and Signaling (23 papers) and Neural dynamics and brain function (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.2k citations), Neurology (2.0k citations), Cognitive Neuroscience (3.4k citations), Sensory Systems (671 citations) and Developmental Neuroscience (569 citations). Daniel L. Alkon has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Thomas J. Nelson, Miao‐Kun Sun, Weiqin Zhao, Bernard G. Schreurs, Jarin Hongpaisan, John F. Disterhoft, Joseph Farley, Thomas P. Vogl, Terry Crow and Douglas A. Coulter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Journal of Alzheimer s Disease, Brain Research and Journal of Biological Chemistry.
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.