Mark J. Schnitzer
Impact in
- Biophysics top 0.01%
- Advanced Fluorescence Microscopy Techniques
- Cellular and Molecular Neuroscience top 0.1%
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
Papers in
- Biophysics 32
- Advanced Fluorescence Microscopy Techniques 31
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- Neuroscience and Neuropharmacology Research 26
- Photoreceptor and optogenetics research 25
- Neuroscience and Neural Engineering 19
- Neurobiology and Insect Physiology Research 10
Mark J. Schnitzer
108 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Biophysics 3.4k
- Cellular and Molecular Neuroscience 7.1k
- Cognitive Neuroscience 5.1k
- Acoustics and Ultrasonics 176
- Structural Biology 213
Countries citing papers authored by Mark J. Schnitzer
This map shows the geographic impact of Mark J. Schnitzer'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 J. Schnitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Schnitzer more than expected).
Fields of papers citing papers by Mark J. Schnitzer
This network shows the impact of papers produced by Mark J. Schnitzer. 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 J. Schnitzer. The network helps show where Mark J. Schnitzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark J. Schnitzer, 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 | 2024 | 25 | |
| 2 | 2024 | 11 | |
| 3 | 2023 | 30 | |
| 4 | 2022 | 47 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 40 | |
| 7 | 2021 | 33 | |
| 8 | 2019 | 252 | |
| 9 | 2019 | 131 | |
| 10 | Robust Estimation of Neural Signals in Calcium Imaging | 2017 | 10 |
| 11 | The BRAIN Initiative: developing technology to catalyse neuroscience discovery. | 2015 | 0 |
| 12 | 2014 | 115 | |
| 13 | 2014 | 155 | |
| 14 | 2013 | 59 | |
| 15 | 2013 | 90 | |
| 16 | Long-term dynamics of CA1 hippocampal place codes Hit paper breakdown → | 2013 | 726 |
| 17 | 2012 | 225 | |
| 18 | 2006 | 28 | |
| 19 | 2005 | 6 | |
| 20 | 2003 | 135 |
About Mark J. Schnitzer
Mark J. Schnitzer is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Computational Mathematics, having authored 109 papers that have together received 16.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (34 papers), Advanced Fluorescence Microscopy Techniques (31 papers), Neuroscience and Neuropharmacology Research (26 papers), Photoreceptor and optogenetics research (25 papers), Neuroscience and Neural Engineering (19 papers), Memory and Neural Mechanisms (15 papers), Neurobiology and Insect Physiology Research (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Biophysics (3.4k citations), Cellular and Molecular Neuroscience (7.1k citations), Cognitive Neuroscience (5.1k citations), Acoustics and Ultrasonics (176 citations) and Structural Biology (213 citations). Mark J. Schnitzer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Steven M. Block, Koen Visscher, Juergen C. Jung, Eric D. Cocker, Axel Nimmerjahn, Michael Z. Lin, Eran A. Mukamel, Benjamin F. Grewe, Robert P. J. Barretto and Kunal Ghosh. Their work appears in journals such as Nature, Neuron, Nature Methods, Cell and Science.
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.