Maria Fe Lanfranco
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- G. William RebeckDorit RonStuart L. GibbJun WangSébastien CarnicellaKathryn A. CunninghamMarcy J. BubarQuinn V. Yowell
- Topics
- Neuroscience and Neuropharmacology Research (6 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)
- Journals
- Journal of Biological ChemistryJournal of NeuroscienceInternational Journal of Molecular Sciences
- Partner nations
- United StatesDenmarkPeru
In The Last Decade
Maria Fe Lanfranco
16 papers receiving 743 citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 406
- Molecular Biology 308
- Physiology 174
- Neurology 139
- Cognitive Neuroscience 137
Countries citing papers authored by Maria Fe Lanfranco
This map shows the geographic impact of Maria Fe Lanfranco'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 Maria Fe Lanfranco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Fe Lanfranco more than expected).
Fields of papers citing papers by Maria Fe Lanfranco
This network shows the impact of papers produced by Maria Fe Lanfranco. 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 Maria Fe Lanfranco. The network helps show where Maria Fe Lanfranco may publish in the future.
Co-authorship network of co-authors of Maria Fe Lanfranco
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Fe Lanfranco. A scholar is included among the top collaborators of Maria Fe Lanfranco 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 Maria Fe Lanfranco. Maria Fe Lanfranco 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 | 11 | |
| 3 | 94 | |
| 4 | 120 | |
| 5 | 44 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 81 | |
| 9 | 20 | |
| 10 | 21 | |
| 11 | 154 | |
| 12 | 31 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 9 | |
| 16 | 132 |
About Maria Fe Lanfranco
Maria Fe Lanfranco is a scholar working on Neurology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 16 papers that have together received 761 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (406 citations), Neurology (139 citations) and Biological Psychiatry (39 citations). Maria Fe Lanfranco has collaborated with scholars based in United States, Denmark and Peru. Frequent co-authors include G. William Rebeck, Dorit Ron, Stuart L. Gibb, Jun Wang, Sébastien Carnicella, Kathryn A. Cunningham, Marcy J. Bubar, Quinn V. Yowell, Shi Liu and Gilbert R. Hillman. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and International Journal of Molecular Sciences.
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.