Daniel Gutierrez‐Barragan
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging
- Cellular and Molecular Neuroscience
- Molecular Biology
- Neurology
- Co-authors
- Alessandro GozziStefano PanzeriM. Albert BassonAlberto GalbuseraLudovico ColettaA. Elizabeth de GuzmanFederico RocchiCarola Canella
- Topics
- Neural dynamics and brain function (7 papers)Functional Brain Connectivity Studies (6 papers)Photoreceptor and optogenetics research (3 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingCellular and Molecular Neuroscience
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Daniel Gutierrez‐Barragan
8 papers receiving 293 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 217
- Radiology, Nuclear Medicine and Imaging 94
- Cellular and Molecular Neuroscience 74
- Molecular Biology 49
- Neurology 18
Countries citing papers authored by Daniel Gutierrez‐Barragan
This map shows the geographic impact of Daniel Gutierrez‐Barragan'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 Daniel Gutierrez‐Barragan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gutierrez‐Barragan more than expected).
Fields of papers citing papers by Daniel Gutierrez‐Barragan
This network shows the impact of papers produced by Daniel Gutierrez‐Barragan. 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 Daniel Gutierrez‐Barragan. The network helps show where Daniel Gutierrez‐Barragan may publish in the future.
Co-authorship network of co-authors of Daniel Gutierrez‐Barragan
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gutierrez‐Barragan. A scholar is included among the top collaborators of Daniel Gutierrez‐Barragan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Gutierrez‐Barragan. Daniel Gutierrez‐Barragan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 23 | |
| 4 | 14 | |
| 5 | 55 | |
| 6 | 66 | |
| 7 | 42 | |
| 8 | 85 |
About Daniel Gutierrez‐Barragan
Daniel Gutierrez‐Barragan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 297 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (6 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cognitive Neuroscience (217 citations), Radiology, Nuclear Medicine and Imaging (94 citations) and Cellular and Molecular Neuroscience (74 citations). Daniel Gutierrez‐Barragan has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alessandro Gozzi, Stefano Panzeri, M. Albert Basson, Alberto Galbusera, Ludovico Coletta, A. Elizabeth de Guzman, Federico Rocchi, Carola Canella, Filomena Grazia Alvino and Neha Atulkumar Singh. Their work appears in journals such as Nature Communications, Current Biology and Cerebral Cortex.
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.