Francisco Luongo

929 total citations
8 papers, 594 citations indexed

About

Francisco Luongo is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Francisco Luongo has authored 8 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Francisco Luongo's work include Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Memory and Neural Mechanisms (3 papers). Francisco Luongo is often cited by papers focused on Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Memory and Neural Mechanisms (3 papers). Francisco Luongo collaborates with scholars based in United States, Russia and Switzerland. Francisco Luongo's co-authors include Vikaas S. Sohal, Tosha Patel, Steven M. Gee, Karl Deisseroth, Anthony T. Lee, Chun‐Chieh Lin, Christopher J. Potter, Thomas R. Clandinin, Daryl M. Gohl and Marion Silies and has published in prestigious journals such as Cell, Neuron and Journal of Neuroscience.

In The Last Decade

Francisco Luongo

8 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francisco Luongo United States	8	384	311	154	70	46	8	594
Ethan B. Richman United States	6	445 1.2×	358 1.2×	162 1.1×	93 1.3×	16 0.3×	7	768
Nathan F. Parker United States	6	352 0.9×	373 1.2×	185 1.2×	44 0.6×	21 0.5×	6	586
A. Chaudhuri Canada	8	192 0.5×	208 0.7×	160 1.0×	59 0.8×	16 0.3×	19	505
Yoh Isogai United States	8	362 0.9×	161 0.5×	314 2.0×	48 0.7×	31 0.7×	10	808
Teruko Danjo Japan	11	510 1.3×	330 1.1×	442 2.9×	38 0.5×	39 0.8×	11	911
Xiao-lin Chou United States	9	528 1.4×	524 1.7×	188 1.2×	47 0.7×	55 1.2×	11	916
Patricia Correia France	7	328 0.9×	237 0.8×	141 0.9×	24 0.3×	15 0.3×	13	537
Carina A. Pothecary United Kingdom	13	294 0.8×	173 0.6×	172 1.1×	29 0.4×	18 0.4×	21	706
Pablo E. Jercog United States	8	344 0.9×	428 1.4×	93 0.6×	41 0.6×	96 2.1×	9	660
Michael W. Shiflett United States	18	456 1.2×	352 1.1×	190 1.2×	33 0.5×	39 0.8×	27	787

Countries citing papers authored by Francisco Luongo

Since Specialization

Citations

This map shows the geographic impact of Francisco Luongo'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 Francisco Luongo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Luongo more than expected).

Fields of papers citing papers by Francisco Luongo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco Luongo. 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 Francisco Luongo. The network helps show where Francisco Luongo may publish in the future.

Co-authorship network of co-authors of Francisco Luongo

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Luongo. A scholar is included among the top collaborators of Francisco Luongo 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 Francisco Luongo. Francisco Luongo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Luongo, Francisco, et al.. (2023). Mice and primates use distinct strategies for visual segmentation. eLife. 12. 11 indexed citations

2.

Lee, Anthony T., et al.. (2019). VIP Interneurons Contribute to Avoidance Behavior by Regulating Information Flow across Hippocampal-Prefrontal Networks. Neuron. 102(6). 1223–1234.e4. 64 indexed citations

3.

Marton, Tobias F., Helia Seifikar, Francisco Luongo, Anthony T. Lee, & Vikaas S. Sohal. (2018). Roles of Prefrontal Cortex and Mediodorsal Thalamus in Task Engagement and Behavioral Flexibility. Journal of Neuroscience. 38(10). 2569–2578. 60 indexed citations

4.

Kirkby, Lowry A., Francisco Luongo, Morgan B. Lee, et al.. (2018). An Amygdala-Hippocampus Subnetwork that Encodes Variation in Human Mood. Cell. 175(6). 1688–1700.e14. 115 indexed citations

5.

Luongo, Francisco, et al.. (2016). Correlations between prefrontal neurons form a small-world network that optimizes the generation of multineuron sequences of activity. Journal of Neurophysiology. 115(5). 2359–2375. 7 indexed citations

6.

Luongo, Francisco, et al.. (2015). Putative Microcircuit-Level Substrates for Attention Are Disrupted in Mouse Models of Autism. Biological Psychiatry. 79(8). 667–675. 20 indexed citations

7.

Gee, Steven M., et al.. (2012). Synaptic Activity Unmasks Dopamine D2 Receptor Modulation of a Specific Class of Layer V Pyramidal Neurons in Prefrontal Cortex. Journal of Neuroscience. 32(14). 4959–4971. 170 indexed citations

8.

Gohl, Daryl M., Marion Silies, Xiaojing Gao, et al.. (2011). A versatile in vivo system for directed dissection of gene expression patterns. Nature Methods. 8(3). 231–237. 147 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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