F.M. Rodríguez

616 total citations
20 papers, 408 citations indexed

About

F.M. Rodríguez is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, F.M. Rodríguez has authored 20 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Agronomy and Crop Science, 13 papers in Public Health, Environmental and Occupational Health and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in F.M. Rodríguez's work include Reproductive Physiology in Livestock (17 papers), Reproductive Biology and Fertility (12 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). F.M. Rodríguez is often cited by papers focused on Reproductive Physiology in Livestock (17 papers), Reproductive Biology and Fertility (12 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). F.M. Rodríguez collaborates with scholars based in Argentina, Chile and Spain. F.M. Rodríguez's co-authors include Natalia R. Salvetti, Hugo H. Ortega, Florencia Rey, N.C. Gareis, Gustavo Juan Hein, M.L. Stangaferro, Antonio Jiménez López, José-Luís Pérez-Arellano, Pablo U. Díaz and Cláudio Gustavo Barbeito and has published in prestigious journals such as Scientific Reports, Reproduction and Theriogenology.

In The Last Decade

F.M. Rodríguez

19 papers receiving 399 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.M. Rodríguez Argentina 14 239 171 99 87 77 20 408
Estelle Watson United Kingdom 12 346 1.4× 84 0.5× 90 0.9× 166 1.9× 57 0.7× 27 575
Natsuko Nagamine Japan 13 269 1.1× 158 0.9× 127 1.3× 19 0.2× 103 1.3× 20 456
H. J. Howard United States 14 329 1.4× 233 1.4× 187 1.9× 106 1.2× 58 0.8× 22 611
İbrahim Küçükaslan Türkiye 12 272 1.1× 61 0.4× 90 0.9× 144 1.7× 42 0.5× 38 380
Suocheng Wei China 11 67 0.3× 99 0.6× 99 1.0× 48 0.6× 101 1.3× 58 334
Halit Kanca Türkiye 11 172 0.7× 53 0.3× 46 0.5× 140 1.6× 53 0.7× 31 304
M Pinto Chile 6 119 0.5× 174 1.0× 34 0.3× 26 0.3× 128 1.7× 9 387
Keisuke Koyama Japan 11 94 0.4× 171 1.0× 76 0.8× 55 0.6× 128 1.7× 34 346
Constantine A. Simintiras Ireland 16 309 1.3× 223 1.3× 167 1.7× 218 2.5× 84 1.1× 26 551
Andreas Vernunft Germany 11 123 0.5× 105 0.6× 52 0.5× 58 0.7× 78 1.0× 42 321

Countries citing papers authored by F.M. Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by F.M. Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F.M. Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of F.M. Rodríguez. A scholar is included among the top collaborators of F.M. Rodríguez 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.M. Rodríguez. F.M. Rodríguez 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
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Gareis, N.C., F.M. Rodríguez, Natalia R. Salvetti, et al.. (2022). Contribution of key elements of nutritional metabolism to the development of cystic ovarian disease in dairy cattle. Theriogenology. 197. 209–223. 4 indexed citations
4.
Díaz, Pablo U., et al.. (2021). MC2R/MRAP2 activation could affect bovine ovarian steroidogenesis potential after ACTH treatment. Theriogenology. 174. 102–113. 10 indexed citations
5.
Rodríguez, F.M., et al.. (2020). Fetal programming in dairy cows: Effect of heat stress on progeny fertility and associations with the hypothalamic-pituitary-adrenal axis functions. Animal Reproduction Science. 216. 106348–106348. 33 indexed citations
6.
Gimeno-Valiente, Francisco, Ángela L. Riffo‐Campos, Guillermo Ayala, et al.. (2020). EPDR1 up-regulation in human colorectal cancer is related to staging and favours cell proliferation and invasiveness. Scientific Reports. 10(1). 3723–3723. 17 indexed citations
7.
Bianchi, C. Paul, Daniel Marcelo Lombardo, Florencia Rey, et al.. (2018). Leptin and IGF1 receptors in alpaca (Vicugna pacos) ovaries. Animal Reproduction Science. 200. 96–104. 7 indexed citations
8.
Gareis, N.C., Natalia R. Salvetti, F.M. Rodríguez, et al.. (2018). Alterations in key metabolic sensors involved in bovine cystic ovarian disease. Theriogenology. 120. 138–146. 17 indexed citations
9.
Gareis, N.C., Gustavo Juan Hein, F.M. Rodríguez, et al.. (2018). Impaired insulin signaling pathways affect ovarian steroidogenesis in cows with COD. Animal Reproduction Science. 192. 298–312. 24 indexed citations
10.
Rodríguez, F.M., N.C. Gareis, Gustavo Juan Hein, et al.. (2017). Role of Components of the Insulin-like Growth Factor System in the Early Stages of Ovarian Follicular Persistence in Cattle. Journal of Comparative Pathology. 157(2-3). 201–214. 15 indexed citations
11.
Rey, Florencia, N.C. Gareis, Pablo U. Díaz, et al.. (2017). Altered expression of cytokines IL-1α, IL-6, IL-8 and TNF-α in bovine follicular persistence. Theriogenology. 97. 104–112. 34 indexed citations
12.
Rodríguez, F.M., et al.. (2017). Detection and activity of 11 beta hydroxylase (CYP11B1) in the bovine ovary. Reproduction. 153(4). 433–441. 19 indexed citations
13.
Velázquez, M.M.L., et al.. (2015). Altered Expression of Pro-inflammatory Cytokines in Ovarian Follicles of Cows with Cystic Ovarian Disease. Journal of Comparative Pathology. 153(2-3). 116–130. 25 indexed citations
14.
Hein, Gustavo Juan, F.M. Rodríguez, Natalia R. Salvetti, et al.. (2015). Impaired insulin signaling pathway in ovarian follicles of cows with cystic ovarian disease. Animal Reproduction Science. 156. 64–74. 24 indexed citations
15.
Rodríguez, F.M., et al.. (2015). Involvement of PAPP‐A and IGFR1 in Cystic Ovarian Disease in Cattle. Reproduction in Domestic Animals. 50(4). 659–668. 14 indexed citations
16.
Rodríguez, F.M., Natalia R. Salvetti, M.L. Stangaferro, et al.. (2013). Interaction between IGF1 and IGFBPs in bovine cystic ovarian disease. Animal Reproduction Science. 140(1-2). 14–25. 19 indexed citations
17.
Salvetti, Natalia R., et al.. (2013). Ovarian localization of 11β-hydroxysteroid dehydrogenase (11βHSD): effects of ACTH stimulation and its relationship with bovine cystic ovarian disease. Domestic Animal Endocrinology. 45(3). 126–140. 42 indexed citations
18.
Rey, Florencia, et al.. (2009). Insulin-Like Growth Factor-II and Insulin-Like Growth Factor-Binding Proteins in Bovine Cystic Ovarian Disease. Journal of Comparative Pathology. 142(2-3). 193–204. 25 indexed citations
19.
Rodríguez, F.M., et al.. (1999). Evaluation of Inflammatory Cytokine Secretion by Human Alveolar Macrophages. Mediators of Inflammation. 8(1). 43–51. 71 indexed citations
20.
Key, Sharon, et al.. (1988). Ovine estrus synchronization and superovulation using norgestomet B and follicle stimulating hormone-pituitary. Theriogenology. 30(2). 421–427. 7 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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