Alan Carleton

6.2k total citations · 1 hit paper
57 papers, 4.2k citations indexed

About

Alan Carleton is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Alan Carleton has authored 57 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cellular and Molecular Neuroscience, 34 papers in Sensory Systems and 16 papers in Nutrition and Dietetics. Recurrent topics in Alan Carleton's work include Olfactory and Sensory Function Studies (34 papers), Neurobiology and Insect Physiology Research (26 papers) and Biochemical Analysis and Sensing Techniques (16 papers). Alan Carleton is often cited by papers focused on Olfactory and Sensory Function Studies (34 papers), Neurobiology and Insect Physiology Research (26 papers) and Biochemical Analysis and Sensing Techniques (16 papers). Alan Carleton collaborates with scholars based in Switzerland, France and United States. Alan Carleton's co-authors include Pierre‐Marie Lledo, Arturo Álvarez-Buylla, Leopoldo Petreanu, Rusty Lansford, Iván Rodríguez, Samuel Lagier, Nixon M. Abraham, Brice Bathellier, Jean‐Didier Vincent and Olivier Gschwend and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Alan Carleton

56 papers receiving 4.2k citations

Hit Papers

Becoming a new neuron in the adult olfactory bulb 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Carleton Switzerland 31 2.2k 1.8k 1.0k 899 889 57 4.2k
Adam C. Puché United States 37 2.4k 1.1× 2.2k 1.2× 1.1k 1.1× 890 1.0× 309 0.3× 113 4.7k
Yoshihiro Yoshihara Japan 50 4.5k 2.0× 3.6k 2.0× 2.2k 2.2× 629 0.7× 652 0.7× 138 8.1k
Peter C. Brunjes United States 33 1.7k 0.8× 2.2k 1.2× 554 0.5× 898 1.0× 313 0.4× 92 3.8k
María E. Rubio United States 36 2.9k 1.3× 820 0.5× 2.9k 2.9× 1.3k 1.5× 853 1.0× 73 5.5k
Marlies Knipper Germany 48 1.9k 0.9× 4.2k 2.3× 2.6k 2.5× 469 0.5× 2.0k 2.2× 167 7.0k
Charles A. Greer United States 51 4.8k 2.1× 4.4k 2.4× 1.6k 1.6× 2.0k 2.2× 534 0.6× 157 7.9k
Troy W. Margrie United Kingdom 34 3.4k 1.5× 1.6k 0.9× 887 0.9× 160 0.2× 2.5k 2.8× 71 5.2k
Benjamin R. Arenkiel United States 35 1.7k 0.7× 416 0.2× 1.5k 1.5× 366 0.4× 942 1.1× 97 4.4k
Leopoldo Petreanu United States 18 4.2k 1.9× 673 0.4× 1.8k 1.8× 1.7k 1.9× 2.7k 3.0× 22 6.7k
Diego Restrepo United States 45 3.3k 1.5× 4.1k 2.3× 908 0.9× 170 0.2× 487 0.5× 168 5.9k

Countries citing papers authored by Alan Carleton

Since Specialization
Citations

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

Fields of papers citing papers by Alan Carleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Carleton

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

All Works

20 of 20 papers shown
1.
Fodoulian, Leon, et al.. (2022). Transcriptional adaptation of olfactory sensory neurons to GPCR identity and activity. Nature Communications. 13(1). 2929–2929. 25 indexed citations
2.
Laporte, Marine H., Simone Astori, Sylvie Montessuit, et al.. (2022). Paradoxical neuronal hyperexcitability in a mouse model of mitochondrial pyruvate import deficiency. eLife. 11. 25 indexed citations
3.
Boillat, Madlaina, Alan Carleton, & Iván Rodríguez. (2021). From immune to olfactory expression: neofunctionalization of formyl peptide receptors. Cell and Tissue Research. 383(1). 387–393. 11 indexed citations
4.
Chéreau, Ronan, et al.. (2020). Dynamic perceptual feature selectivity in primary somatosensory cortex upon reversal learning. Nature Communications. 11(1). 3245–3245. 27 indexed citations
5.
Vincis, Roberto, Daniel Nunes, Hartwig Spors, et al.. (2019). Similarity and Strength of Glomerular Odor Representations Define a Neural Metric of Sniff-Invariant Discrimination Time. Cell Reports. 28(11). 2966–2978.e5. 17 indexed citations
6.
Salazar, Rodrigo F., Cristina Bertollini, Mathias De Roo, et al.. (2018). Restoring wild-type-like CA1 network dynamics and behavior during adulthood in a mouse model of schizophrenia. Nature Neuroscience. 21(10). 1412–1420. 54 indexed citations
7.
Vincis, Roberto, Samuel Lagier, Dimitri Van De Ville, Iván Rodríguez, & Alan Carleton. (2015). Sensory-Evoked Intrinsic Imaging Signals in the Olfactory Bulb Are Independent of Neurovascular Coupling. Cell Reports. 12(2). 313–325. 21 indexed citations
8.
Rossier, Daniel, Joël Tuberosa, Alexandre Widmer, et al.. (2015). Large-scale transcriptional profiling of chemosensory neurons identifies receptor-ligand pairs in vivo. Nature Neuroscience. 18(10). 1455–1463. 102 indexed citations
9.
Gambino, Frédéric, Stéphane Pagès, Daniela Baptista, et al.. (2014). Sensory-evoked LTP driven by dendritic plateau potentials in vivo. Nature. 515(7525). 116–119. 171 indexed citations
10.
Meyerhof, Wolfgang, et al.. (2013). Editorial_Board. Chemical Senses. 38(2). NP–NP.
11.
Vincis, Roberto, et al.. (2012). Dense representation of natural odorants in the mouse olfactory bulb. Nature Neuroscience. 15(4). 537–539. 66 indexed citations
12.
Abraham, Nixon M., et al.. (2012). Similar Odor Discrimination Behavior in Head-Restrained and Freely Moving Mice. PLoS ONE. 7(12). e51789–e51789. 32 indexed citations
13.
Bathellier, Brice, et al.. (2008). Dynamic Ensemble Odor Coding in the Mammalian Olfactory Bulb: Sensory Information at Different Timescales. Neuron. 57(4). 586–598. 179 indexed citations
14.
Bathellier, Brice, et al.. (2007). Differential Spatial Representation of Taste Modalities in the Rat Gustatory Cortex. Journal of Neuroscience. 27(6). 1396–1404. 143 indexed citations
15.
Calı, Corrado, Thomas K. Berger, Michele Pignatelli, et al.. (2007). Inferring connection proximity in networks of electrically coupled cells by subthreshold frequency response analysis. Journal of Computational Neuroscience. 24(3). 330–345. 3 indexed citations
17.
Lim, Daniel A., Nadia Dahmane, Pilar Sánchez‐Gómez, et al.. (2004). Sonic hedgehog controls stem cell behavior in the postnatal and adult brain. Development. 132(2). 335–344. 475 indexed citations
18.
Lagier, Samuel, Alan Carleton, & Pierre‐Marie Lledo. (2004). Interplay between Local GABAergic Interneurons and Relay Neurons Generates γ Oscillations in the Rat Olfactory Bulb. Journal of Neuroscience. 24(18). 4382–4392. 175 indexed citations
19.
Carleton, Alan, Leopoldo Petreanu, Rusty Lansford, Arturo Álvarez-Buylla, & Pierre‐Marie Lledo. (2003). Becoming a new neuron in the adult olfactory bulb. Nature Neuroscience. 6(5). 507–518. 621 indexed citations breakdown →
20.
Carleton, Alan, Christelle Rochefort, Javier Morante, et al.. (2002). Making scents of olfactory neurogenesis. Journal of Physiology-Paris. 96(1-2). 115–122. 28 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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