Kevin Mosca
Impact in
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Sleep and Wakefulness Research
-
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
-
- DNA and Nucleic Acid Chemistry 3
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 1
- DNA Repair Mechanisms 1
- Protein Structure and Dynamics 1
-
- Memory and Neural Mechanisms 1
- Co-authors
- Matthew R. Gielow (1 shared paper)Attila Csordás (1 shared paper)László Záborszky (1 shared paper)Joseph Kim (1 shared paper)Zoltán Nádasdy (1 shared paper)Csaba Vadász (1 shared paper)Frank Wien (4 shared papers)Véronique Arluison (5 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Applied Sciences (1 paper)Cerebral Cortex (1 paper)Methods in molecular biology (2 papers)PubMed (1 paper)
- Partner nations
- FranceUnited StatesPoland
In The Last Decade
Kevin Mosca
4 papers receiving 240 citations
Peers
Comparison fields: 5 of 42
- Cognitive Neuroscience 149
- Cellular and Molecular Neuroscience 125
- Sensory Systems 11
- Molecular Biology 83
- Behavioral Neuroscience 4
Countries citing papers authored by Kevin Mosca
This map shows the geographic impact of Kevin Mosca'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 Kevin Mosca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Mosca more than expected).
Fields of papers citing papers by Kevin Mosca
This network shows the impact of papers produced by Kevin Mosca. 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 Kevin Mosca. The network helps show where Kevin Mosca may publish in the future.
Co-authors
The 20 scholars most cited alongside Kevin Mosca, 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 | 2013 | 217 | |
| 2 | 2022 | 19 | |
| 3 | 2022 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2026 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 |
About Kevin Mosca
Kevin Mosca is a scholar working on Molecular Biology, Cognitive Neuroscience, Molecular Medicine, Sensory Systems and Genetics, having authored 7 papers that have together received 243 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (1 paper), DNA Repair Mechanisms (1 paper), Protein Structure and Dynamics (1 paper), Memory and Neural Mechanisms (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Cognitive Neuroscience (149 citations), Cellular and Molecular Neuroscience (125 citations), Sensory Systems (11 citations), Molecular Biology (83 citations) and Behavioral Neuroscience (4 citations). Kevin Mosca has collaborated with scholars based in France, United States and Poland. Frequent co-authors include Matthew R. Gielow, Attila Csordás, László Záborszky, Joseph Kim, Zoltán Nádasdy, Csaba Vadász, Frank Wien, Véronique Arluison, Janusz M. Bujnicki and Andrea Cappannini. Their work appears in journals such as Nucleic Acids Research, Applied Sciences, Cerebral Cortex, Methods in molecular biology and PubMed.
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.