Nathaniel B. Sawtell
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- Neuroscience and Neuropharmacology Research 9
- Neurobiology and Insect Physiology Research 6
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 15
- Sensory Systems top 2%
- Neurology top 2%
- Vestibular and auditory disorders 12
- Developmental Neuroscience top 5%
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- Fish biology, ecology, and behavior 21
- Ichthyology and Marine Biology 10
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- Marine animal studies overview 6
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- Advanced Memory and Neural Computing 6
- Co-authors
- Mark F. BearCurtis C. BellMikhail Y. FrenkelBenjamin D. PhilpotKazu NakazawaVictor Z. HanSusumu TonegawaKimberly M. Huber
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Nathaniel B. Sawtell
36 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 970
- Cognitive Neuroscience 968
- Sensory Systems 231
- Neurology 383
- Developmental Neuroscience 112
Countries citing papers authored by Nathaniel B. Sawtell
This map shows the geographic impact of Nathaniel B. Sawtell'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 Nathaniel B. Sawtell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel B. Sawtell more than expected).
Fields of papers citing papers by Nathaniel B. Sawtell
This network shows the impact of papers produced by Nathaniel B. Sawtell. 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 Nathaniel B. Sawtell. The network helps show where Nathaniel B. Sawtell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathaniel B. Sawtell, 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 | 2025 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 5 | |
| 5 | 2019 | 15 | |
| 6 | 2017 | 73 | |
| 7 | 2016 | 2 | |
| 8 | 2014 | 11 | |
| 9 | 2014 | 115 | |
| 10 | 2010 | 70 | |
| 11 | 2008 | 20 | |
| 12 | 2008 | 44 | |
| 13 | 2007 | 32 | |
| 14 | 2006 | 223 | |
| 15 | 2006 | 21 | |
| 16 | 2005 | 11 | |
| 17 | 2005 | 37 | |
| 18 | 2004 | 3 | |
| 19 | 2001 | 61 | |
| 20 | 1998 | 93 |
About Nathaniel B. Sawtell
Nathaniel B. Sawtell is a scholar working on Nature and Landscape Conservation, Neurology, Sensory Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fish biology, ecology, and behavior (21 papers), Neural dynamics and brain function (15 papers), Vestibular and auditory disorders (12 papers), Ichthyology and Marine Biology (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Marine animal studies overview (6 papers), Advanced Memory and Neural Computing (6 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (970 citations), Cognitive Neuroscience (968 citations), Sensory Systems (231 citations), Neurology (383 citations) and Developmental Neuroscience (112 citations). Nathaniel B. Sawtell has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Mark F. Bear, Curtis C. Bell, Mikhail Y. Frenkel, Benjamin D. Philpot, Kazu Nakazawa, Victor Z. Han, Susumu Tonegawa, Kimberly M. Huber, ANTONIA CINIRA M. DIOGO and Rachael L. Neve. Their work appears in journals such as Neuron, Journal of Neuroscience, Journal of Neurophysiology, Current Opinion in Neurobiology and Current Biology.
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.