Laura Pedraza‐González
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Atomic and Molecular Physics, and Optics
- Cognitive Neuroscience
- Biomedical Engineering
- Co-authors
- Massimo OlivucciLuca De VicoDaniele PadulaAndrés ReyesMarı́a del Carmen Marı́nFrancesca FanelliXuchun YangJorge Charry
- Topics
- Photoreceptor and optogenetics research (14 papers)Neural dynamics and brain function (6 papers)Advanced Chemical Physics Studies (5 papers)
- Cited by
- Cellular and Molecular NeuroscienceAtomic and Molecular Physics, and OpticsCognitive Neuroscience
- Journals
- Journal of the American Chemical SocietyNature CommunicationsThe Journal of Chemical Physics
- Partner nations
- ItalyUnited StatesColombia
In The Last Decade
Laura Pedraza‐González
22 papers receiving 236 citations
Peers
Comparison fields: 5 of 38
- Cellular and Molecular Neuroscience 145
- Molecular Biology 95
- Atomic and Molecular Physics, and Optics 84
- Cognitive Neuroscience 52
- Biomedical Engineering 39
Countries citing papers authored by Laura Pedraza‐González
This map shows the geographic impact of Laura Pedraza‐González'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 Laura Pedraza‐González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Pedraza‐González more than expected).
Fields of papers citing papers by Laura Pedraza‐González
This network shows the impact of papers produced by Laura Pedraza‐González. 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 Laura Pedraza‐González. The network helps show where Laura Pedraza‐González may publish in the future.
Co-authorship network of co-authors of Laura Pedraza‐González
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Pedraza‐González. A scholar is included among the top collaborators of Laura Pedraza‐González 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 Laura Pedraza‐González. Laura Pedraza‐González is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 19 | |
| 10 | 11 | |
| 11 | 28 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | 42 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 13 | |
| 20 | 10 |
About Laura Pedraza‐González
Laura Pedraza‐González is a scholar working on Cellular and Molecular Neuroscience, Catalysis and Cognitive Neuroscience, having authored 22 papers that have together received 237 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (14 papers), Neural dynamics and brain function (6 papers) and Advanced Chemical Physics Studies (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (145 citations), Atomic and Molecular Physics, and Optics (84 citations) and Cognitive Neuroscience (52 citations). Laura Pedraza‐González has collaborated with scholars based in Italy, United States and Colombia. Frequent co-authors include Massimo Olivucci, Luca De Vico, Daniele Padula, Andrés Reyes, Marı́a del Carmen Marı́n, Francesca Fanelli, Xuchun Yang, Jorge Charry, Igor Schapiro and Benedetta Mennucci. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.
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.