Fábio Papes

1.9k total citations
29 papers, 1.3k citations indexed

About

Fábio Papes is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Fábio Papes has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 11 papers in Sensory Systems and 9 papers in Nutrition and Dietetics. Recurrent topics in Fábio Papes's work include Olfactory and Sensory Function Studies (11 papers), Neurobiology and Insect Physiology Research (9 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Fábio Papes is often cited by papers focused on Olfactory and Sensory Function Studies (11 papers), Neurobiology and Insect Physiology Research (9 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Fábio Papes collaborates with scholars based in Brazil, United States and United Kingdom. Fábio Papes's co-authors include Lisa Stowers, Darren W. Logan, Paulo Arruda, Edson L. Kemper, Adílson Leite, Francesco Langone, Kirsten Fischer Lindahl, Toyoyuki Takada, Catherine Dulac and Elsy P. Jones and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Fábio Papes

28 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fábio Papes Brazil 17 450 412 404 315 236 29 1.3k
Barbara R. Talamo United States 25 883 2.0× 264 0.6× 655 1.6× 192 0.6× 50 0.2× 42 1.8k
Atsushi Matsubara Japan 23 1.1k 2.5× 702 1.7× 832 2.1× 208 0.7× 831 3.5× 83 3.2k
Noelle D. Dwyer United States 18 1.8k 4.0× 261 0.6× 618 1.5× 135 0.4× 322 1.4× 24 2.9k
Yojiro Yanagawa Japan 27 930 2.1× 214 0.5× 943 2.3× 146 0.5× 72 0.3× 122 2.7k
Jennifer L. Garrison United States 19 1.0k 2.3× 135 0.3× 264 0.7× 96 0.3× 84 0.4× 28 2.1k
Tomonari Hayama Japan 21 458 1.0× 207 0.5× 293 0.7× 270 0.9× 105 0.4× 48 1.1k
Katie S. Kindt United States 23 657 1.5× 694 1.7× 384 1.0× 99 0.3× 94 0.4× 47 1.8k
Greg S. B. Suh United States 21 845 1.9× 271 0.7× 1.8k 4.4× 205 0.7× 191 0.8× 31 3.0k
Christine Baly France 18 482 1.1× 612 1.5× 261 0.6× 494 1.6× 57 0.2× 28 1.4k
Dieter Gläser Germany 27 769 1.7× 825 2.0× 362 0.9× 1.0k 3.3× 67 0.3× 90 2.5k

Countries citing papers authored by Fábio Papes

Since Specialization
Citations

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

Fields of papers citing papers by Fábio Papes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fábio Papes

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Papes. A scholar is included among the top collaborators of Fábio Papes 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 Fábio Papes. Fábio Papes 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.
Carvalho, Lucas Miguel de, et al.. (2025). Gene network analysis identifies dysregulated pathways in an autism spectrum disorder caused by mutations in Transcription Factor 4. Scientific Reports. 15(1). 4993–4993. 2 indexed citations
2.
Savchenko, A. K., Francesco Puppo, Fábio Papes, et al.. (2025). Graphene-polymer nanofibers enable optically induced electrical responses in stem cell-derived electrically excitable cells and brain organoids. Biomaterials. 323. 123430–123430. 2 indexed citations
3.
Papes, Fábio, et al.. (2024). Tcf4 dysfunction alters dorsal and ventral cortical neurogenesis in Pitt-Hopkins syndrome mouse model showing sexual dimorphism. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(5). 167178–167178. 2 indexed citations
4.
Papes, Fábio, Antônio Pedro Camargo, Janaína Sena de Souza, et al.. (2022). Transcription Factor 4 loss-of-function is associated with deficits in progenitor proliferation and cortical neuron content. Nature Communications. 13(1). 2387–2387. 47 indexed citations
5.
Broderick, Lori, Gwendolyn Clay, Robert Blum, et al.. (2022). Disease-associated mutations in topoisomerase IIβ result in defective NK cells. Journal of Allergy and Clinical Immunology. 149(6). 2171–2176.e3. 8 indexed citations
6.
Higa, Guilherme Shigueto Vilar, Roberto De Pasquale, Silvia Honda Takada, et al.. (2022). The impact of antidepressants on human neurodevelopment: Brain organoids as experimental tools. Seminars in Cell and Developmental Biology. 144. 67–76. 12 indexed citations
7.
Nakahara, Thiago S., et al.. (2020). Representation of Olfactory Information in Organized Active Neural Ensembles in the Hypothalamus. Cell Reports. 32(8). 108061–108061. 19 indexed citations
8.
Nakahara, Thiago S., et al.. (2020). Peripheral oxytocin injection modulates vomeronasal sensory activity and reduces pup-directed aggression in male mice. Scientific Reports. 10(1). 19943–19943. 16 indexed citations
9.
Nakahara, Thiago S., et al.. (2020). Detection of Activated Mouse Neurons with Temporal Resolution via Dual c-Fos Staining. STAR Protocols. 1(3). 100153–100153.
10.
Papes, Fábio, Thiago S. Nakahara, & Antônio Pedro Camargo. (2018). Behavioral Assays in the Study of Olfaction: A Practical Guide. Methods in molecular biology. 1820. 289–388. 8 indexed citations
11.
Ibarra-Soria, Ximena, Thiago S. Nakahara, Jingtao Lilue, et al.. (2017). Variation in olfactory neuron repertoires is genetically controlled and environmentally modulated. eLife. 6. 63 indexed citations
12.
Nakahara, Thiago S., et al.. (2017). The Strange Case of Aggression and the Brain. Neuron. 95(4). 734–737. 2 indexed citations
13.
Xavier, André Machado, Raissa G. Ludwig, Tatiana R. Rosenstock, et al.. (2016). CD36 is expressed in a defined subpopulation of neurons in the olfactory epithelium. Scientific Reports. 6(1). 25507–25507. 28 indexed citations
15.
Nakahara, Thiago S., et al.. (2015). Lack of spatial segregation in the representation of pheromones and kairomones in the mouse medial amygdala. Frontiers in Neuroscience. 9. 283–283. 18 indexed citations
16.
Papes, Fábio, Darren W. Logan, & Lisa Stowers. (2010). The Vomeronasal Organ Mediates Interspecies Defensive Behaviors through Detection of Protein Pheromone Homologs. Cell. 141(4). 692–703. 256 indexed citations
17.
Costa, Gustavo GL, Aline da Costa Lima Moraes, Renato Vicentini, et al.. (2010). Transcriptome analysis of the oil-rich seed of the bioenergy crop Jatropha curcas L. BMC Genomics. 11(1). 462–462. 86 indexed citations
18.
Papes, Fábio, Lisa Stowers, Elsy P. Jones, et al.. (2003). Functional Expression of Murine V2R Pheromone Receptors Involves Selective Association with the M10 and M1 Families of MHC Class Ib Molecules. Cell. 112(5). 607–618. 215 indexed citations
19.
Papes, Fábio, et al.. (2001). The essential amino acid lysine acts as precursor of glutamate in the mammalian central nervous system. FEBS Letters. 488(1-2). 34–38. 85 indexed citations
20.
Arruda, Paulo, Edson L. Kemper, Fábio Papes, & Adílson Leite. (2000). Regulation of lysine catabolism in higher plants. Trends in Plant Science. 5(8). 324–330. 131 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026