Lucija Rapan
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
- Visual perception and processing mechanisms
Papers in
-
- Neural dynamics and brain function 10
- Functional Brain Connectivity Studies 6
- Visual perception and processing mechanisms 6
-
- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 1
- Co-authors
- Nicola Palomero‐Gallagher (11 shared papers)Meiqi Niu (11 shared papers)Karl Zilles (7 shared papers)Seán Froudist‐Walsh (7 shared papers)Thomas Funck (7 shared papers)Xiao‐Jing Wang (4 shared papers)Ling Zhao (5 shared papers)Alan Peters (1 shared paper)
- Journals
- Neuron (2 papers)NeuroImage (2 papers)Brain Structure and Function (2 papers)eLife (2 papers)Cell Reports (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Lucija Rapan
12 papers receiving 401 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 217
- Developmental Neuroscience 20
- Cellular and Molecular Neuroscience 80
- Public Health, Environmental and Occupational Health 96
- Neurology 22
Countries citing papers authored by Lucija Rapan
This map shows the geographic impact of Lucija Rapan'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 Lucija Rapan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucija Rapan more than expected).
Fields of papers citing papers by Lucija Rapan
This network shows the impact of papers produced by Lucija Rapan. 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 Lucija Rapan. The network helps show where Lucija Rapan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucija Rapan, 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 | 2016 | 173 | |
| 2 | 2021 | 60 | |
| 3 | 2023 | 43 | |
| 4 | 2020 | 26 | |
| 5 | 2019 | 23 | |
| 6 | 2020 | 22 | |
| 7 | 2023 | 19 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 8 | |
| 10 | 2025 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 1 |
About Lucija Rapan
Lucija Rapan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Social Psychology, having authored 12 papers that have together received 403 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (6 papers), Visual perception and processing mechanisms (6 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurobiology and Insect Physiology Research (1 paper), Down syndrome and intellectual disability research (1 paper) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (217 citations), Developmental Neuroscience (20 citations), Cellular and Molecular Neuroscience (80 citations), Public Health, Environmental and Occupational Health (96 citations) and Neurology (22 citations). Lucija Rapan has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Nicola Palomero‐Gallagher, Meiqi Niu, Karl Zilles, Seán Froudist‐Walsh, Thomas Funck, Xiao‐Jing Wang, Ling Zhao, Alan Peters, Joseph Goodliffe and John Silbereis. Their work appears in journals such as Neuron, NeuroImage, Brain Structure and Function, eLife and Cell Reports.
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.