Fernando Locatelli

1.0k total citations
30 papers, 722 citations indexed

About

Fernando Locatelli is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Fernando Locatelli has authored 30 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 12 papers in Ecology, Evolution, Behavior and Systematics and 12 papers in Genetics. Recurrent topics in Fernando Locatelli's work include Neurobiology and Insect Physiology Research (26 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Plant and animal studies (9 papers). Fernando Locatelli is often cited by papers focused on Neurobiology and Insect Physiology Research (26 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Plant and animal studies (9 papers). Fernando Locatelli collaborates with scholars based in Argentina, United States and Germany. Fernando Locatelli's co-authors include Brian H. Smith, Arturo Romano, Héctor Maldonado, Martín Klappenbach, Patricia Carina Fernández, Alejandro Delorenzi, Ramón Huerta, Uli Müller, Carlos Lafourcade and Ramiro Freudenthal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Brain Research.

In The Last Decade

Fernando Locatelli

28 papers receiving 714 citations

Peers

Fernando Locatelli

CMN

GENET

EEBS

Varvara Dyakonova Russia

Timo Saumweber Germany

Johannes Felsenberg Germany

Brian J. Duistermars United States

Sabine Schäfer Germany

Kenta Asahina United States

Sören Diegelmann Germany

Sarah J. Certel United States

Tsai‐Feng Fu Taiwan

Claire Eschbach Germany

Varvara Dyakonova Russia

Fernando Locatelli

527 ×1.0

CMN

180 ×0.7

GENET

258 ×1.1

EEBS

144 ×0.7

111 ×1.1

Citations per year, relative to Fernando Locatelli Fernando Locatelli (= 1×) peers Varvara Dyakonova

Countries citing papers authored by Fernando Locatelli

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Locatelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Locatelli

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

All Works

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20 of 20 papers shown

Buteler, Micaela, et al.. (2025). Tangled in natural and synthetic microfibers: prevalence, grooming, and spread across honeybees. Apidologie. 56(5).

Pírez, Nicolás, et al.. (2025). Sensory adaptation modulates coding and the perceptual quality of odor mixtures. iScience. 28(7). 112999–112999.

Pírez, Nicolás, Martín Klappenbach, & Fernando Locatelli. (2023). Experience-dependent tuning of the olfactory system. Current Opinion in Insect Science. 60. 101117–101117. 5 indexed citations

Klappenbach, Martín, et al.. (2022). Honey bees can store and retrieve independent memory traces after complex experiences that combine appetitive and aversive associations. Journal of Experimental Biology. 225(11). 4 indexed citations

Locatelli, Fernando, et al.. (2022). Antennal movements can be used as behavioral readout of odor valence in honey bees. IBRO Neuroscience Reports. 12. 323–332. 7 indexed citations

Klappenbach, Martín, et al.. (2021). Learning-dependent plasticity in the antennal lobe improves discrimination and recognition of odors in the honeybee. Cell and Tissue Research. 383(1). 165–175. 8 indexed citations

Gerkin, Richard C., et al.. (2019). Experience-dependent tuning of early olfactory processing in the adult honey bee,Apis mellifera. Journal of Experimental Biology. 223(Pt 1). 15 indexed citations

Smith, Brian H., et al.. (2018). Odorant mixtures elicit less variable and faster responses than pure odorants. PLoS Computational Biology. 14(12). e1006536–e1006536. 21 indexed citations

Klappenbach, Martín, et al.. (2016). Sickness Behavior in Honey Bees. Frontiers in Physiology. 7. 261–261. 34 indexed citations

10.

Locatelli, Fernando, et al.. (2016). Neural correlates of expression-independent memories in the crab Neohelice. Neurobiology of Learning and Memory. 131. 61–75. 9 indexed citations

11.

Chen, Jen‐Yung, Collins Assisi, Ramón Huerta, et al.. (2015). Learning Modifies Odor Mixture Processing to Improve Detection of Relevant Components. Journal of Neuroscience. 35(1). 179–197. 29 indexed citations

12.

Locatelli, Fernando & Lorena Rela. (2014). Mosaic activity patterns and their relation to perceptual similarity: open discussions on the molecular basis and circuitry of odor recognition. Journal of Neurochemistry. 131(5). 546–553. 2 indexed citations

13.

Klappenbach, Martín, et al.. (2013). Dopamine interferes with appetitive long-term memory formation in honey bees. Neurobiology of Learning and Memory. 106. 230–237. 27 indexed citations

14.

Locatelli, Fernando, et al.. (2013). Apis mellifera octopamine receptor 1 (AmOA1) expression in antennal lobe networks of the honey bee (Apis mellifera) and fruit fly (Drosophila melanogaster). Frontiers in Systems Neuroscience. 7. 70–70. 27 indexed citations

15.

Klappenbach, Martín, et al.. (2012). Opposite actions of dopamine on aversive and appetitive memories in the crab. Learning & Memory. 19(2). 73–83. 23 indexed citations

16.

Fernández, Patricia Carina, et al.. (2009). Associative Conditioning Tunes Transient Dynamics of Early Olfactory Processing. Journal of Neuroscience. 29(33). 10191–10202. 100 indexed citations

17.

Locatelli, Fernando, et al.. (2006). Identification and localisation of the NR1 sub-unit homologue of the NMDA glutamate receptor in the honeybee brain. Neuroscience Letters. 398(3). 274–279. 34 indexed citations

18.

Locatelli, Fernando, et al.. (2005). Focal and Temporal Release of Glutamate in the Mushroom Bodies Improves Olfactory Memory in Apis mellifera. Journal of Neuroscience. 25(50). 11614–11618. 44 indexed citations

19.

Locatelli, Fernando, Héctor Maldonado, & Arturo Romano. (2002). Two Critical Periods for cAMP-Dependent Protein Kinase Activity during Long-Term Memory Consolidation in the Crab Chasmagnathus. Neurobiology of Learning and Memory. 77(2). 234–249. 33 indexed citations

20.

Romano, Arturo, Fernando Locatelli, Alejandro Delorenzi, María E. Pedreira, & Héctor Maldonado. (1996). Effects of activation and inhibition of cAMP-dependent protein kinase on long-term habituation in the crabChasmagnathus. Brain Research. 735(1). 131–140. 35 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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