Rafael Pineda

60 total papers · 3.8k total citations
44 papers, 3.1k citations indexed

About

Rafael Pineda is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Rafael Pineda has authored 44 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Reproductive Medicine, 19 papers in Endocrine and Autonomic Systems and 18 papers in Molecular Biology. Recurrent topics in Rafael Pineda's work include Hypothalamic control of reproductive hormones (33 papers), Regulation of Appetite and Obesity (15 papers) and Plant Reproductive Biology (14 papers). Rafael Pineda is often cited by papers focused on Hypothalamic control of reproductive hormones (33 papers), Regulation of Appetite and Obesity (15 papers) and Plant Reproductive Biology (14 papers). Rafael Pineda collaborates with scholars based in Spain, United States and Finland. Rafael Pineda's co-authors include Manuel Tena‐Sempere, E. Aguilar, Juan M. Castellano, L. Pinilla, Francisco Ruíz-Pino, David García-Galiano, Leonor Pinilla, Carlos Diéguez, Miguel A. Sánchez-Garrido and Juan Roa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Endocrine Reviews.

In The Last Decade

Rafael Pineda

44 papers receiving 3.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rafael Pineda 2.2k 1.1k 1.1k 491 402 44 3.1k
David García-Galiano 2.5k 1.1× 1.2k 1.1× 1.2k 1.1× 576 1.2× 408 1.0× 59 3.8k
Francisco Ruíz-Pino 1.9k 0.9× 1.1k 1.0× 1.1k 1.0× 492 1.0× 329 0.8× 57 3.3k
Javed Iqbal 1.3k 0.6× 725 0.7× 864 0.8× 304 0.6× 308 0.8× 61 2.6k
Philippe Ciofi 2.3k 1.1× 1.3k 1.2× 1.2k 1.1× 457 0.9× 864 2.1× 70 3.5k
Miguel A. Sánchez-Garrido 1.8k 0.8× 1.0k 0.9× 963 0.9× 364 0.7× 314 0.8× 53 3.3k
Martha A. Bosch 2.0k 0.9× 1.3k 1.2× 1.4k 1.3× 1.0k 2.1× 688 1.7× 56 3.9k
Jian Qiu 1.3k 0.6× 1.0k 1.0× 1.4k 1.3× 778 1.6× 745 1.9× 53 3.5k
E. Vigo 1.6k 0.7× 866 0.8× 744 0.7× 253 0.5× 270 0.7× 30 2.3k
Andrew Wolfe 2.2k 1.0× 939 0.9× 616 0.6× 818 1.7× 240 0.6× 87 3.5k
Xinhuai Liu 1.6k 0.7× 787 0.7× 556 0.5× 311 0.6× 383 1.0× 36 2.2k

Countries citing papers authored by Rafael Pineda

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Pineda

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Pineda. A scholar is included among the top collaborators of Rafael Pineda 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 Pineda. Rafael Pineda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026