P. Ferrero

5.8k total citations
68 papers, 1.6k citations indexed

About

P. Ferrero is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Astronomy and Astrophysics. According to data from OpenAlex, P. Ferrero has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 15 papers in Astronomy and Astrophysics. Recurrent topics in P. Ferrero's work include Gamma-ray bursts and supernovae (15 papers), Neuroscience and Neuropharmacology Research (14 papers) and Ion channel regulation and function (8 papers). P. Ferrero is often cited by papers focused on Gamma-ray bursts and supernovae (15 papers), Neuroscience and Neuropharmacology Research (14 papers) and Ion channel regulation and function (8 papers). P. Ferrero collaborates with scholars based in Argentina, Italy and United States. P. Ferrero's co-authors include E. Costa, Alessandro Guidotti, Bianca M. Conti‐Tronconi, B. Bergamasco, Alicia Mattiazzi, Mariarita Santi, Cecilia Mundiña‐Weilenmann, Leticia Vittone, Hannu Alho and Paola Rocca and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

P. Ferrero

65 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Ferrero Argentina 22 786 711 239 176 139 68 1.6k
Gian Carlo Demontis Italy 23 679 0.9× 996 1.4× 153 0.6× 306 1.7× 149 1.1× 67 1.7k
Masaru Kuroda Japan 24 667 0.8× 347 0.5× 234 1.0× 135 0.8× 496 3.6× 88 1.8k
Dieter B. Wildenauer Germany 33 940 1.2× 1.4k 2.0× 56 0.2× 264 1.5× 374 2.7× 79 3.4k
Thomas Bettecken Germany 22 163 0.2× 786 1.1× 42 0.2× 255 1.4× 204 1.5× 53 2.0k
Hideyuki Uchimura Japan 22 951 1.2× 649 0.9× 40 0.2× 190 1.1× 124 0.9× 90 1.7k
Fernando Peña‐Ortega Mexico 28 1.0k 1.3× 558 0.8× 207 0.9× 550 3.1× 1.1k 8.1× 90 3.2k
Stephen Brough United Kingdom 26 438 0.6× 536 0.8× 143 0.6× 302 1.7× 826 5.9× 63 2.4k
Peter Århem Sweden 25 1.0k 1.3× 1.1k 1.6× 273 1.1× 168 1.0× 269 1.9× 98 1.7k
Francisco J. Alvarez‐Leefmans United States 24 993 1.3× 1.2k 1.7× 101 0.4× 329 1.9× 123 0.9× 38 1.9k
Hiroo Ogura Japan 24 807 1.0× 741 1.0× 29 0.1× 310 1.8× 250 1.8× 61 2.0k

Countries citing papers authored by P. Ferrero

Since Specialization
Citations

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

Fields of papers citing papers by P. Ferrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Ferrero

This figure shows the co-authorship network connecting the top 25 collaborators of P. Ferrero. A scholar is included among the top collaborators of P. Ferrero 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 P. Ferrero. P. Ferrero 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.
Ferrero, P., et al.. (2024). Use of Cannabidiol-Dominant Extract as Co-Adjuvant Therapy for Type 2 Diabetes Mellitus Treatment in Feline: Case Report. SHILAP Revista de lepidopterología. 7(1). 206–212. 1 indexed citations
2.
Ferrero, P., et al.. (2023). Cannabis and pathologies in dogs and cats: first survey of phytocannabinoid use in veterinary medicine in Argentina. SHILAP Revista de lepidopterología. 5(1). 39–39. 2 indexed citations
3.
Walter, Stefan, Jürgen J. Heinisch, P. Ferrero, et al.. (2022). Neprilysins regulate muscle contraction and heart function via cleavage of SERCA-inhibitory micropeptides. Nature Communications. 13(1). 4420–4420. 7 indexed citations
4.
García, Alejandra, Alicia Mattiazzi, Carlos A. Valverde, et al.. (2022). Interplay between SERCA, 4E-BP, and eIF4E in the Drosophila heart. PLoS ONE. 17(5). e0267156–e0267156. 7 indexed citations
5.
Valverde, Carlos A., et al.. (2021). A low-cost Portable Device to Deliver Smoke, Volatile or Vaporized Substances to Drosophila melanogaster, Useful for Research and/or Educational Assays. Conicet. 2 indexed citations
6.
Balcazar, Darío, et al.. (2021). Smoking flies: testing the effect of tobacco cigarettes on heart function ofDrosophila melanogaster. Biology Open. 10(2). 8 indexed citations
7.
Rodríguez, Mario A., et al.. (2019). Inhalation of marijuana affects Drosophila heart function. Biology Open. 8(8). 6 indexed citations
8.
Balcazar, Darío, et al.. (2018). SERCA is critical to control the Bowditch effect in the heart. Scientific Reports. 8(1). 12447–12447. 19 indexed citations
9.
Portiansky, Enrique Leo, et al.. (2016). Drosophila melanogaster, an Emerging Animal Model for the Study of Human Cardiac Diseases. Revista Argentina de Cardiología. 84(5). 424–430. 3 indexed citations
10.
Castro‐Tirado, A. J., R. Sánchez-Ramírez, J. Gorosabel, et al.. (2013). GRB 130606A: 10.4m GTC refined redshift z = 5.91.. GRB Coordinates Network. 14796. 1. 1 indexed citations
11.
Ferrero, P., et al.. (2012). Cap binding-independent recruitment of eIF4E to cytoplasmic foci. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(7). 1217–1224. 7 indexed citations
12.
Schulze, S., S. Klose, G. Björnsson, et al.. (2010). The circumburst density profile around GRB progenitors: a statistical study. Springer Link (Chiba Institute of Technology). 22 indexed citations
13.
Ferrero, P., Д. А. Канн, E. S. Rykoff, et al.. (2008). A rapid response to GRB 070411. AIP conference proceedings. 1000. 257–260. 3 indexed citations
14.
Savaglio, S., E. Palazzi, P. Ferrero, & S. Klose. (2007). GRB 060605 new redshift.. GRB Coordinates Network. 6166. 1. 1 indexed citations
15.
Ferrero, P., Д. А. Канн, A. Zeh, et al.. (2006). The GRB 060218/SN 2006aj Event in the Context of other Gamma-Ray Burst Supernovae. TigerPrints (Clemson University). 35 indexed citations
16.
Valverde, Carlos A., Cecilia Mundiña‐Weilenmann, Matilde Said, et al.. (2004). Frequency‐dependent acceleration of relaxation in mammalian heart: a property not relying on phospholamban and SERCA2a phosphorylation. The Journal of Physiology. 562(3). 801–813. 44 indexed citations
17.
Ferrero, P., et al.. (2002). Effects of sevoflurane general anesthesia: immunological studies in mice. International Immunopharmacology. 2(1). 95–104. 46 indexed citations
18.
Ferrero, P., et al.. (1990). Modulatory effect of some steroid hormones, their glucuronides and ouabain-like compounds on Cavia cobaya kidney Na+,K+-ATPase activity. General Pharmacology The Vascular System. 21(4). 435–442. 4 indexed citations
19.
Pinessi, Lorenzo, Innocenzo Rainero, G. Asteggiano, et al.. (1984). Primary dementias: Epidemiological and sociomedical aspects. Neurological Sciences. 5(1). 51–55. 7 indexed citations
20.
Benna, Paolo, Francesco Lacquaniti, G Triolo, P. Ferrero, & B. Bergamasco. (1981). Acute neurologic complications of hemodialysis. Neurological Sciences. 2(1). 53–57. 23 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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