Lukas Mesik
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Visual perception and processing mechanisms
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
Papers in
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- Neural dynamics and brain function 9
- Memory and Neural Mechanisms 2
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- Neuroscience and Neuropharmacology Research 6
- Photoreceptor and optogenetics research 3
- Neuroscience and Neural Engineering 2
- Co-authors
- Huizhong W. Tao (8 shared papers)Brian Zingg (4 shared papers)Li I. Zhang (5 shared papers)Xiao-lin Chou (2 shared papers)Zhenggang Zhang (2 shared papers)Feixue Liang (2 shared papers)Xuying Ji (2 shared papers)Leena A. Ibrahim (2 shared papers)
- Journals
- Journal of Neuroscience (4 papers)Neuron (3 papers)Nature Communications (2 papers)Cerebral Cortex (1 paper)Frontiers in Neural Circuits (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Lukas Mesik
11 papers receiving 1.1k citations
Lukas Mesik's Hit Papers
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 733
- Sensory Systems 183
- Cellular and Molecular Neuroscience 652
- Endocrine and Autonomic Systems 85
- Neurology 84
Countries citing papers authored by Lukas Mesik
This map shows the geographic impact of Lukas Mesik'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 Lukas Mesik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Mesik more than expected).
Fields of papers citing papers by Lukas Mesik
This network shows the impact of papers produced by Lukas Mesik. 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 Lukas Mesik. The network helps show where Lukas Mesik may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Mesik, 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 | AAV-Mediated Anterograde Transsynaptic Tagging: Mapping Corticocollicular Input-Defined Neural Pathways for Defense Behaviors Hit paper breakdown → | 2016 | 493 |
| 2 | 2016 | 194 | |
| 3 | 2015 | 115 | |
| 4 | 2018 | 103 | |
| 5 | 2013 | 54 | |
| 6 | 2015 | 53 | |
| 7 | 2012 | 41 | |
| 8 | 2022 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2024 | 7 |
About Lukas Mesik
Lukas Mesik is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Sensory Systems and Neurology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Photoreceptor and optogenetics research (3 papers), Neuroscience and Neural Engineering (2 papers), Memory and Neural Mechanisms (2 papers), Transcranial Magnetic Stimulation Studies (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Photoacoustic and Ultrasonic Imaging (1 paper). The work is most often cited by research in Cognitive Neuroscience (733 citations), Sensory Systems (183 citations), Cellular and Molecular Neuroscience (652 citations), Endocrine and Autonomic Systems (85 citations) and Neurology (84 citations). Lukas Mesik has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Huizhong W. Tao, Brian Zingg, Li I. Zhang, Xiao-lin Chou, Zhenggang Zhang, Feixue Liang, Xuying Ji, Leena A. Ibrahim, Zhongju Xiao and Qi Fang. Their work appears in journals such as Journal of Neuroscience, Neuron, Nature Communications, Cerebral Cortex and Frontiers in Neural Circuits.
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.