F. MENA

1.9k total citations
87 papers, 1.5k citations indexed

About

F. MENA is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, F. MENA has authored 87 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Molecular Biology and 15 papers in Animal Science and Zoology. Recurrent topics in F. MENA's work include Growth Hormone and Insulin-like Growth Factors (20 papers), Neuroendocrine regulation and behavior (13 papers) and Hypothalamic control of reproductive hormones (11 papers). F. MENA is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (20 papers), Neuroendocrine regulation and behavior (13 papers) and Hypothalamic control of reproductive hormones (11 papers). F. MENA collaborates with scholars based in Spain, United States and Mexico. F. MENA's co-authors include C. E. GROSVENOR, Neil S. Whitworth, Rosario Osta, Marı́a Jesús Muñoz, Enrique Martı́nez-Balları́n, Lorena Fuentes‐Broto, P. Zaragoza, Carmen Clapp, Joaquín J. García and Gonzalo Martı́nez de la Escalera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and Endocrinology.

In The Last Decade

F. MENA

83 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. MENA Spain 23 341 306 272 263 248 87 1.5k
T. John Wu United States 26 468 1.4× 241 0.8× 323 1.2× 335 1.3× 271 1.1× 73 1.9k
Kyriaki Gerozissis France 21 229 0.7× 138 0.5× 171 0.6× 273 1.0× 333 1.3× 50 1.3k
Jocelyn N. Pennefather Australia 23 763 2.2× 289 0.9× 247 0.9× 881 3.3× 173 0.7× 104 1.9k
Damasia Becú‐Villalobos Argentina 27 617 1.8× 116 0.4× 886 3.3× 182 0.7× 231 0.9× 103 2.3k
J. C. Buckingham United Kingdom 24 475 1.4× 217 0.7× 294 1.1× 213 0.8× 228 0.9× 54 1.4k
Jerry Vriend Canada 25 628 1.8× 100 0.3× 183 0.7× 359 1.4× 1.2k 5.0× 73 2.5k
Pierre Bouloux United Kingdom 28 790 2.3× 77 0.3× 696 2.6× 215 0.8× 223 0.9× 62 2.3k
John S. Kizer United States 18 414 1.2× 118 0.4× 146 0.5× 539 2.0× 158 0.6× 21 998
Lindsey Grandison United States 24 621 1.8× 331 1.1× 396 1.5× 963 3.7× 360 1.5× 42 2.0k
Adriana Seilicovich Argentina 30 638 1.9× 271 0.9× 593 2.2× 443 1.7× 421 1.7× 113 2.3k

Countries citing papers authored by F. MENA

Since Specialization
Citations

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

Fields of papers citing papers by F. MENA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. MENA

This figure shows the co-authorship network connecting the top 25 collaborators of F. MENA. A scholar is included among the top collaborators of F. MENA 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 F. MENA. F. MENA 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.
González‐Mingot, Cristina, F. MENA, Pedro Iñarrea, et al.. (2023). Mitochondrial Aconitase Enzymatic Activity: A Potential Long-Term Survival Biomarker in the Blood of ALS Patients. Journal of Clinical Medicine. 12(10). 3560–3560. 8 indexed citations
2.
Ripoll, G., et al.. (2023). Impact of gilt immunocastration on weight losses and instrumental and chemical characteristics of Teruel dry-cured ham. Meat Science. 199. 109125–109125. 6 indexed citations
3.
4.
Piñol, Rafael, J. J. Aramayona, Julio J. Criado, et al.. (2022). Comprehensive and systematic characterization of multi-functionalized cisplatin nano-conjugate: from the chemistry and proteomic biocompatibility to the animal model. Journal of Nanobiotechnology. 20(1). 341–341. 5 indexed citations
5.
MENA, F., et al.. (2021). Influence of Immunocastration and Diet on Meat and Fat Quality of Heavy Female and Male Pigs. Animals. 11(12). 3355–3355. 12 indexed citations
6.
Osta, Rosario, Ana Cristina Calvo, Laura Moreno‐Martínez, et al.. (2019). Type XIX collagen: a promising biomarker from the basement membranes. Neural Regeneration Research. 15(6). 988–988. 17 indexed citations
7.
Sierra, Marta, F. MENA, Begoña Calvo, et al.. (2015). On Using Model Populations to Determine Mechanical Properties of Skeletal Muscle. Application to Concentric Contraction Simulation. Annals of Biomedical Engineering. 43(10). 2444–2455. 11 indexed citations
8.
MENA, F., Abimael González‐Hernández, Alfredo Romero Castilla, et al.. (2013). Prolactin fractions from lactating rats elicit effects upon sensory spinal cord cells of male rats. Neuroscience. 248. 552–561. 7 indexed citations
9.
Manzano, Raquel, Janne M. Toivonen, Ana Cristina Calvo, et al.. (2011). Sex, fiber-type, and age dependent in vitro proliferation of mouse muscle satellite cells. Journal of Cellular Biochemistry. 112(10). 2825–2836. 39 indexed citations
10.
MENA, F., Eduardo Piedrafita, Cristina González‐Mingot, et al.. (2011). Levels of membrane fluidity in the spinal cord and the brain in an animal model of amyotrophic lateral sclerosis. Journal of Bioenergetics and Biomembranes. 43(2). 181–186. 22 indexed citations
11.
Fuentes‐Broto, Lorena, Enrique Martı́nez-Balları́n, F. MENA, et al.. (2009). Lipid and protein oxidation in hepatic homogenates and cell membranes exposed to bile acids. Free Radical Research. 43(11). 1080–1089. 18 indexed citations
12.
Gómez-Trullén, Eva María, et al.. (2007). Melatonin reduces lipid and protein oxidative damage in synaptosomes due to aluminium. Journal of Trace Elements in Medicine and Biology. 21(4). 261–268. 39 indexed citations
13.
MENA, F., Marı́a Jesús Muñoz, Mario F. Mendez, et al.. (2005). Optimal methods to characterize the G93A mouse model of ALS. Amyotrophic Lateral Sclerosis. 6(1). 55–62. 78 indexed citations
14.
MENA, F., et al.. (2005). Study and culture of haematopoietic progenitor cells from peripheral blood in rats, hamsters and mice. Research in Veterinary Science. 81(1). 87–91.
15.
MENA, F., Marı́a Jesús Muñoz, Jesús Ciriza, et al.. (2003). Fragment C tetanus toxin: A putative activity-dependent neuroanatomical tracer. Acta Neurobiologiae Experimentalis. 63(3). 211–218. 12 indexed citations
16.
MENA, F., et al.. (1990). Prolactin and propranolol prevent the suckling-induced inhibition of lactation in rabbits. Physiology & Behavior. 48(2). 311–315. 7 indexed citations
17.
MENA, F., Carmen Clapp, & Gonzalo Martı́nez de la Escalera. (1990). Age-related stimulatory and inhibitory effects of suckling regulate lactation in rabbits. Physiology & Behavior. 48(2). 307–310. 9 indexed citations
18.
19.
MENA, F.. (1978). [Neuroendocrinal control of lactation].. PubMed. 114(2). 63–74. 1 indexed citations
20.
GROSVENOR, C. E. & F. MENA. (1971). Evidence for a Refractory Period in the Neuroendocrine Mechanism for the Release of Prolactin. Endocrinology. 88(2). 355–358. 10 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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