Maria Fe Lanfranco

1.0k total citations
16 papers, 761 citations indexed

About

Maria Fe Lanfranco is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Maria Fe Lanfranco has authored 16 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Maria Fe Lanfranco's work include Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Maria Fe Lanfranco is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Maria Fe Lanfranco collaborates with scholars based in United States, Brazil and Peru. Maria Fe Lanfranco's co-authors include G. William Rebeck, Dorit Ron, Stuart L. Gibb, Jun Wang, Sébastien Carnicella, Kathryn A. Cunningham, Marcy J. Bubar, Quinn V. Yowell, Gilbert R. Hillman and Shi Liu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and International Journal of Molecular Sciences.

In The Last Decade

Maria Fe Lanfranco

16 papers receiving 743 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Fe Lanfranco United States 12 406 308 174 139 137 16 761
Eriola Hoxha Italy 17 332 0.8× 433 1.4× 137 0.8× 148 1.1× 125 0.9× 32 822
Mattias Rickhag Denmark 15 413 1.0× 461 1.5× 72 0.4× 140 1.0× 115 0.8× 26 898
Daniel Zwilling United States 7 288 0.7× 326 1.1× 225 1.3× 115 0.8× 90 0.7× 8 688
Evelyne Ruchti Switzerland 8 400 1.0× 396 1.3× 174 1.0× 150 1.1× 80 0.6× 12 871
Jeffrey S. Thinschmidt United States 22 366 0.9× 503 1.6× 104 0.6× 146 1.1× 201 1.5× 34 1.1k
Michał Ślęzak Poland 13 356 0.9× 274 0.9× 132 0.8× 223 1.6× 81 0.6× 18 840
Francis Shue United States 9 297 0.7× 156 0.5× 192 1.1× 251 1.8× 303 2.2× 14 818
Suzanne M. Underhill United States 15 495 1.2× 360 1.2× 68 0.4× 219 1.6× 85 0.6× 17 882
Hanmi Lee United States 8 402 1.0× 300 1.0× 222 1.3× 164 1.2× 67 0.5× 9 718
Manuel F. López‐Aranda Spain 9 277 0.7× 232 0.8× 209 1.2× 93 0.7× 247 1.8× 19 733

Countries citing papers authored by Maria Fe Lanfranco

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

16 of 16 papers shown
1.
Lanfranco, Maria Fe, et al.. (2023). CCR5 deficiency normalizes TIMP levels, working memory, and gamma oscillation power in APOE4 targeted replacement mice. Neurobiology of Disease. 179. 106057–106057. 5 indexed citations
2.
Lanfranco, Maria Fe, et al.. (2021). cAMP is an allosteric modulator of DNA-binding specificity in the cAMP receptor protein from Mycobacterium tuberculosis. Journal of Biological Chemistry. 296. 100480–100480. 11 indexed citations
3.
Lanfranco, Maria Fe, et al.. (2021). Expression and secretion of apoE isoforms in astrocytes and microglia during inflammation. Glia. 69(6). 1478–1493. 94 indexed citations
4.
Lanfranco, Maria Fe, et al.. (2020). ApoE Lipidation as a Therapeutic Target in Alzheimer’s Disease. International Journal of Molecular Sciences. 21(17). 6336–6336. 120 indexed citations
5.
Lanfranco, Maria Fe, Italo Mocchetti, Mark P. Burns, & Sonia Villapol. (2018). Glial- and Neuronal-Specific Expression of CCL5 mRNA in the Rat Brain. Frontiers in Neuroanatomy. 11. 137–137. 44 indexed citations
6.
Lanfranco, Maria Fe, et al.. (2017). Asymmetric configurations in a reengineered homodimer reveal multiple subunit communication pathways in protein allostery. Journal of Biological Chemistry. 292(15). 6086–6093. 10 indexed citations
7.
Lanfranco, Maria Fe, David J. Loane, Italo Mocchetti, Mark P. Burns, & Sonia Villapol. (2017). Combination of Fluorescent in situ Hybridization (FISH) and Immunofluorescence Imaging for Detection of Cytokine Expression in Microglia/Macrophage Cells. BIO-PROTOCOL. 7(22). 11 indexed citations
8.
Wang, Jun, Sami Ben Hamida, Emmanuel Darcq, et al.. (2012). Ethanol-Mediated Facilitation of AMPA Receptor Function in the Dorsomedial Striatum: Implications for Alcohol Drinking Behavior. Journal of Neuroscience. 32(43). 15124–15132. 81 indexed citations
9.
Wang, Jun, Maria Fe Lanfranco, Stuart L. Gibb, & Dorit Ron. (2011). Ethanol-mediated long-lasting adaptations of the NR2B-containing NMDA receptors in the dorsomedial striatum. Channels. 5(3). 205–209. 21 indexed citations
10.
Gibb, Stuart L., Sami Ben Hamida, Maria Fe Lanfranco, & Dorit Ron. (2011). Ethanol‐induced increase in Fyn kinase activity in the dorsomedial striatum is associated with subcellular redistribution of protein tyrosine phosphatase α. Journal of Neurochemistry. 119(4). 879–889. 20 indexed citations
11.
Anastasio, Noelle C., Maria Fe Lanfranco, Marcy J. Bubar, et al.. (2010). Serotonin 5‐HT2Creceptor protein expression is enriched in synaptosomal and post‐synaptic compartments of rat cortex. Journal of Neurochemistry. 113(6). 1504–1515. 31 indexed citations
12.
Wang, Jun, Maria Fe Lanfranco, Stuart L. Gibb, et al.. (2010). Long-Lasting Adaptations of the NR2B-Containing NMDA Receptors in the Dorsomedial Striatum Play a Crucial Role in Alcohol Consumption and Relapse. Journal of Neuroscience. 30(30). 10187–10198. 154 indexed citations
13.
Lanfranco, Maria Fe, Noelle C. Anastasio, Patricia K. Seitz, & Kathryn A. Cunningham. (2010). Quantification of RNA Editing of the Serotonin 2C Receptor (5-HT2CR) Ex Vivo. Methods in enzymology on CD-ROM/Methods in enzymology. 311–328. 2 indexed citations
14.
Lanfranco, Maria Fe, Patricia K. Seitz, Michael V. Morabito, et al.. (2009). An innovative real-time PCR method to measure changes in RNA editing of the serotonin 2C receptor (5-HT2CR) in brain. Journal of Neuroscience Methods. 179(2). 247–257. 16 indexed citations
15.
Lanfranco, Maria Fe, Raúl Loayza‐Muro, Daniel Clark, et al.. (2008). Expression and substrate specificity of a recombinant cysteine proteinase B of Leishmania braziliensis. Molecular and Biochemical Parasitology. 161(2). 91–100. 9 indexed citations
16.
Liu, Shi, Marcy J. Bubar, Maria Fe Lanfranco, Gilbert R. Hillman, & Kathryn A. Cunningham. (2007). Serotonin2C receptor localization in GABA neurons of the rat medial prefrontal cortex: Implications for understanding the neurobiology of addiction. Neuroscience. 146(4). 1677–1688. 132 indexed citations

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.

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