Mark Sheffield
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neuropharmacology Research 15
- Neurobiology and Insect Physiology Research 1
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- Memory and Neural Mechanisms 13
- Neural dynamics and brain function 4
- Sleep and Wakefulness Research 2
- Co-authors
- Daniel A. Dombeck (3 shared papers)Nelson Spruston (3 shared papers)Brett D. Mensh (3 shared papers)Antoine D. Madar (2 shared papers)Tyler K. Best (2 shared papers)William L. Kath (2 shared papers)Seetha Krishnan (5 shared papers)Jeff Hardin (1 shared paper)
- Journals
- Nature Communications (3 papers)eLife (3 papers)Nature Neuroscience (2 papers)eNeuro (2 papers)Current Biology (1 paper)
- Partner nations
- United StatesCanadaBulgaria
In The Last Decade
Mark Sheffield
16 papers receiving 672 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 540
- Cognitive Neuroscience 491
- Aging 23
- Neurology 102
- Sensory Systems 33
Countries citing papers authored by Mark Sheffield
This map shows the geographic impact of Mark Sheffield'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 Mark Sheffield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sheffield more than expected).
Fields of papers citing papers by Mark Sheffield
This network shows the impact of papers produced by Mark Sheffield. 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 Mark Sheffield. The network helps show where Mark Sheffield may publish in the future.
Co-authors
The 12 scholars most cited alongside Mark Sheffield, 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 | 2014 | 176 | |
| 2 | 2017 | 116 | |
| 3 | 2010 | 94 | |
| 4 | 2021 | 82 | |
| 5 | 2011 | 46 | |
| 6 | 2007 | 42 | |
| 7 | 2018 | 34 | |
| 8 | 2022 | 28 | |
| 9 | 2023 | 22 | |
| 10 | 2013 | 20 | |
| 11 | 2025 | 8 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 0 |
About Mark Sheffield
Mark Sheffield is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Molecular Biology and Cell Biology, having authored 17 papers that have together received 677 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Memory and Neural Mechanisms (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neural dynamics and brain function (4 papers), Sleep and Wakefulness Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurobiology and Insect Physiology Research (1 paper) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (540 citations), Cognitive Neuroscience (491 citations), Aging (23 citations), Neurology (102 citations) and Sensory Systems (33 citations). Mark Sheffield has collaborated with scholars based in United States, Canada and Bulgaria. Frequent co-authors include Daniel A. Dombeck, Nelson Spruston, Brett D. Mensh, Antoine D. Madar, Tyler K. Best, William L. Kath, Seetha Krishnan, Jeff Hardin, Jonathan Pettitt and Tara Deemyad. Their work appears in journals such as Nature Communications, eLife, Nature Neuroscience, eNeuro 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.