G. Alonso

5.4k total citations
84 papers, 2.4k citations indexed

About

G. Alonso is a scholar working on Epidemiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, G. Alonso has authored 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 28 papers in Molecular Biology and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in G. Alonso's work include Trypanosoma species research and implications (31 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Neuroendocrine regulation and behavior (10 papers). G. Alonso is often cited by papers focused on Trypanosoma species research and implications (31 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Neuroendocrine regulation and behavior (10 papers). G. Alonso collaborates with scholars based in Argentina, France and Brazil. G. Alonso's co-authors include Héctor N. Torres, Mirtha M. Flawiá, I Assenmacher, Claudio A. Pereira, A. Legrand, F. Malaval, A. Szafarczyk, Isabelle Guillemain, Alain Privat and G. Ixart and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Comparative Neurology.

In The Last Decade

G. Alonso

80 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Alonso Argentina 28 1.2k 723 526 324 298 84 2.4k
Fred W. van Leeuwen Netherlands 30 1.8k 1.5× 569 0.8× 407 0.8× 586 1.8× 347 1.2× 64 3.2k
Hilary Wilkinson United States 19 961 0.8× 468 0.6× 207 0.4× 193 0.6× 217 0.7× 32 2.3k
Luciano Martini Italy 34 877 0.8× 797 1.1× 102 0.2× 392 1.2× 363 1.2× 76 3.2k
Koh Shinoda Japan 27 945 0.8× 881 1.2× 97 0.2× 282 0.9× 273 0.9× 90 2.6k
Carlos P. Fitzsimons Netherlands 35 1.2k 1.1× 466 0.6× 305 0.6× 229 0.7× 146 0.5× 88 3.3k
Jae Young Seong South Korea 35 1.8k 1.5× 1.2k 1.7× 142 0.3× 527 1.6× 499 1.7× 138 4.2k
Y. Peng Loh United States 38 2.3k 2.0× 1.4k 1.9× 193 0.4× 160 0.5× 536 1.8× 128 4.5k
Joanna C. Bakowska United States 20 835 0.7× 567 0.8× 163 0.3× 124 0.4× 90 0.3× 26 1.8k
Analı́a Lima Argentina 26 394 0.3× 394 0.5× 123 0.2× 125 0.4× 96 0.3× 74 2.0k
Savraj Grewal Canada 29 2.0k 1.7× 1.4k 1.9× 78 0.1× 251 0.8× 131 0.4× 46 3.6k

Countries citing papers authored by G. Alonso

Since Specialization
Citations

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

Fields of papers citing papers by G. Alonso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Alonso

This figure shows the co-authorship network connecting the top 25 collaborators of G. Alonso. A scholar is included among the top collaborators of G. Alonso 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 G. Alonso. G. Alonso 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.
Girard‐Dias, Wendell, Alejandra C. Schoijet, G. Alonso, et al.. (2025). The adhesion plaque mediates fluid discharge and duplication of the contractile vacuole complex in Trypanosoma cruzi. Journal of Cell Science. 138(15).
2.
Ocampo, Josefina, et al.. (2025). Trypanosomatid histones: the building blocks of the epigenetic code of highly divergent eukaryotes. Biochemical Journal. 482(6). 325–340. 1 indexed citations
3.
Smircich, Pablo, et al.. (2023). Improving genome-wide mapping of nucleosomes in Trypanosome cruzi.. PLoS ONE. 18(11). e0293809–e0293809.
4.
Alberca, Lucas N., et al.. (2021). Homology Modeling and Molecular Dynamics Simulations ofTrypanosoma cruziPhosphodiesterase b1. Chemistry & Biodiversity. 19(1). e202100712–e202100712. 3 indexed citations
5.
Niborski, Leticia Laura, Renato G.S. Chirivi, Leandro Simonetti, et al.. (2021). Recombinant antibody against Trypanosoma cruzi from patients with chronic Chagas heart disease recognizes mammalian nervous system.. EBioMedicine. 63. 103206–103206. 5 indexed citations
6.
Silva, Rafael Cardoso Maciel Costa, Eduardo Gonçalves Paterson Fox, Fabio M. Gomes, et al.. (2020). Venom alkaloids against Chagas disease parasite: search for effective therapies. Scientific Reports. 10(1). 10642–10642. 10 indexed citations
7.
Schoijet, Alejandra C., et al.. (2020). Methods to Investigate Signal Transduction Pathways in Trypanosoma cruzi: Cyclic Nucleotide Phosphodiesterases Assay Protocols. Methods in molecular biology. 2116. 523–534.
8.
Alonso, G., et al.. (2010). The NADPH–cytochrome P450 reductase family in Trypanosoma cruzi is involved in the sterol biosynthesis pathway. International Journal for Parasitology. 41(1). 99–108. 7 indexed citations
9.
Alonso, G., et al.. (2008). Multiple NADPH–cytochrome P450 reductases from Trypanosoma cruzi. Molecular and Biochemical Parasitology. 160(1). 42–51. 25 indexed citations
10.
Alonso, G., et al.. (2007). TcPARP: A DNA damage-dependent poly(ADP-ribose) polymerase from Trypanosoma cruzi. International Journal for Parasitology. 38(3-4). 277–287. 24 indexed citations
11.
Deleuze, Charlotte, Hélène Orcel, A. Rabié, et al.. (2005). Structural difference between heteromeric somatic and homomeric axonal glycine receptors in the hypothalamo-neurohypophysial system. Neuroscience. 135(2). 475–483. 21 indexed citations
12.
13.
Alonso, G., Alejandra C. Schoijet, Héctor N. Torres, & Mirtha M. Flawiá. (2005). TcPDE4, a novel membrane-associated cAMP-specific phosphodiesterase from Trypanosoma cruzi. Molecular and Biochemical Parasitology. 145(1). 40–49. 25 indexed citations
14.
Jamen, Françoise, G. Alonso, Izumi Shibuya, et al.. (2003). Impaired Somatodendritic Responses to Pituitary Adenylate Cyclase‐Activating Polypeptide (PACAP) of Supraoptic Neurones in PACAP type I ‐Receptor Deficient Mice. Journal of Neuroendocrinology. 15(9). 871–881. 18 indexed citations
15.
Alonso, G., Claudio A. Pereira, Marı́a S. Remedi, et al.. (2001). Arginine kinase of the flagellate protozoa Trypanosoma cruzi. FEBS Letters. 498(1). 22–25. 55 indexed citations
16.
Alonso, G., Isabelle Guillemain, Andréa Dumoulin, Alain Privat, & Gilles Patey. (1997). Immunolocalization of Bcl-x L/S in the central nervous system of neonatal and adult rats. Cell and Tissue Research. 288(1). 59–68. 22 indexed citations
17.
Alonso, G.. (1994). Immunolocalization of polysialic acid in the median eminence and neurointermediate hypophysial lobe of adult rats. Journal of Chemical Neuroanatomy. 8(1). 33–45. 5 indexed citations
18.
19.
Siaud, P., et al.. (1989). The organization of prolactin-like-immunoreactive neurons in the rat central nervous system. Cell and Tissue Research. 255(1). 107–15. 36 indexed citations
20.
Siaud, P., Luc Denoroy, I Assenmacher, & G. Alonso. (1989). Comparative immunocytochemical study of the catecholaminergic and peptidergic afferent innervation to the dorsal vagal complex in rat and guinea pig. The Journal of Comparative Neurology. 290(3). 323–335. 24 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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