Rafael Cantera

3.1k total citations
63 papers, 2.4k citations indexed

About

Rafael Cantera is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Immunology. According to data from OpenAlex, Rafael Cantera has authored 63 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cellular and Molecular Neuroscience, 28 papers in Molecular Biology and 17 papers in Immunology. Recurrent topics in Rafael Cantera's work include Neurobiology and Insect Physiology Research (41 papers), Invertebrate Immune Response Mechanisms (17 papers) and Developmental Biology and Gene Regulation (8 papers). Rafael Cantera is often cited by papers focused on Neurobiology and Insect Physiology Research (41 papers), Invertebrate Immune Response Mechanisms (17 papers) and Developmental Biology and Gene Regulation (8 papers). Rafael Cantera collaborates with scholars based in Sweden, Uruguay and Germany. Rafael Cantera's co-authors include Dick R. Nässel, Fotis C. Kafatos, Dick R. N�ssel, Christos Samakovlis, Carolina Barillas‐Mury, Rosa Barrio, Marcos G. Frank, DickR. N�ssel, Anne Uv and Gerhard M. Technau and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Rafael Cantera

60 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafael Cantera Sweden 28 1.2k 889 638 563 366 63 2.4k
Irene Miguel‐Aliaga United Kingdom 27 1.3k 1.1× 1.1k 1.2× 927 1.5× 661 1.2× 438 1.2× 44 2.8k
David B. Morton United States 28 911 0.7× 533 0.6× 270 0.4× 379 0.7× 339 0.9× 97 2.2k
Carlos Ribeiro Portugal 29 1.6k 1.3× 1.2k 1.4× 626 1.0× 1.2k 2.1× 865 2.4× 49 3.8k
Fiona L. Watson United Kingdom 23 992 0.8× 1.1k 1.2× 910 1.4× 216 0.4× 170 0.5× 51 2.8k
Dietmar Schmucker United States 24 1.2k 1.0× 1.6k 1.8× 836 1.3× 361 0.6× 271 0.7× 34 2.9k
Jae Young Kwon South Korea 29 2.2k 1.8× 565 0.6× 496 0.8× 1.2k 2.1× 881 2.4× 69 3.2k
Takeshi Awasaki Japan 26 2.0k 1.7× 1.1k 1.3× 643 1.0× 287 0.5× 613 1.7× 48 2.9k
Michael J. Galko United States 21 921 0.8× 535 0.6× 604 0.9× 507 0.9× 157 0.4× 38 1.8k
K. F. Fischbach Germany 18 2.3k 1.8× 1.1k 1.3× 213 0.3× 303 0.5× 829 2.3× 20 2.9k
Kuniaki Takahashi Japan 19 650 0.5× 615 0.7× 610 1.0× 405 0.7× 185 0.5× 29 1.5k

Countries citing papers authored by Rafael Cantera

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Cantera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Cantera

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Cantera. A scholar is included among the top collaborators of Rafael Cantera 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 Rafael Cantera. Rafael Cantera 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.
Romero, Juan I., Santiago Werbajh, Gerald N. Rechberger, et al.. (2022). orsai, the Drosophila homolog of human ETFRF1, links lipid catabolism to growth control. BMC Biology. 20(1). 233–233. 3 indexed citations
2.
Prieto, Daniel, et al.. (2020). Compartment and cell-type specific hypoxia responses in the developing Drosophila brain. Biology Open. 9(8). 11 indexed citations
3.
Raddi, Gianmarco, Ana Beatriz F. Barletta, Mirjana Efremova, et al.. (2020). Mosquito cellular immunity at single-cell resolution. Science. 369(6507). 1128–1132. 80 indexed citations
4.
5.
Ferreiro, M.J., Coralia Pérez, Santiago Ruiz, et al.. (2018). Drosophila melanogaster White Mutant w1118 Undergo Retinal Degeneration. Frontiers in Neuroscience. 11. 732–732. 72 indexed citations
6.
Rybak, Jürgen, et al.. (2018). Synaptic Spinules in the Olfactory Circuit of Drosophila melanogaster. Frontiers in Cellular Neuroscience. 12. 86–86. 5 indexed citations
7.
Cantera, Rafael, et al.. (2015). Putative synaptic genes defined from a Drosophila whole body developmental transcriptome by a machine learning approach. BMC Genomics. 16(1). 694–694. 14 indexed citations
8.
Cantera, Rafael & Rosa Barrio. (2014). Do the Genes of the Innate Immune Response Contribute to Neuroprotection in Drosophila?. Journal of Innate Immunity. 7(1). 3–10. 10 indexed citations
9.
Ferreiro, M.J., Naiara Rodríguez‐Ezpeleta, Coralia Pérez, et al.. (2012). Whole transcriptome analysis of a reversible neurodegenerative process in Drosophila reveals potential neuroprotective genes. BMC Genomics. 13(1). 483–483. 11 indexed citations
10.
Cantera, Rafael, et al.. (2011). Circadian rhythms in the morphology of neurons in Drosophila. Cell and Tissue Research. 344(3). 381–389. 14 indexed citations
11.
Kyriacou, Charalambos P., et al.. (2007). Circadian changes in Drosophila motor terminals. Developmental Neurobiology. 67(4). 415–421. 35 indexed citations
12.
Vlachou, Dina, Timo Zimmermann, Rafael Cantera, et al.. (2004). Real-time, in vivo analysis of malaria ookinete locomotion and mosquito midgut invasion. Cellular Microbiology. 6(7). 671–685. 147 indexed citations
13.
Cantera, Rafael, et al.. (1999). Muscle Structure and Innervation Are Affected by Loss of Dorsal in the Fruit Fly,Drosophila melanogaster. Molecular and Cellular Neuroscience. 13(2). 131–141. 28 indexed citations
14.
Cantera, Rafael & Gerhard M. Technau. (1996). Glial cells phagocytose neuronal debris during the metamorphosis of the central nervous system in Drosophila melanogaster. Development Genes and Evolution. 206(4). 277–280. 32 indexed citations
15.
Nässel, Dick R., Paul Passier, Károly Elekes, et al.. (1995). Evidence that locustatachykinin I is involved in release of adipokinetic hormone from locust corpora cardiaca. Regulatory Peptides. 57(3). 297–310. 73 indexed citations
16.
Cantera, Rafael, et al.. (1995). Migration of neurons between ganglia in the metamorphosing insect nervous system. Development Genes and Evolution. 205(1-2). 10–20. 4 indexed citations
17.
Cantera, Rafael, Jan A. Veenstra, & Dick R. Nässel. (1994). Postembryonic development of corazonin‐containing neurons and neurosecretory cells in the blowfly, Phormia terraenovae. The Journal of Comparative Neurology. 350(4). 559–572. 50 indexed citations
18.
Cantera, Rafael & Dick R. N�ssel. (1992). Segmental peptidergic innervation of abdominal targets in larval and adult dipteran insects revealed with an antiserum against leucokinin I. Cell and Tissue Research. 269(3). 459–471. 117 indexed citations
19.
Cantera, Rafael. (1991). Dual peptidergic innervation of the blowfly hindgut : a light and electron microscopic study of FMRFamide and proctolin immunoreactive fibers. Comparative Biochemistry and Physiology. 99. 517–525. 8 indexed citations
20.
Cantera, Rafael, et al.. (1989). Postnatal development of photoreceptor proteins in mutant mice and Abyssinian cats with retinal degeneration.. PubMed. 314. 275–89. 8 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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