Mario Cárdenas

58 total papers · 891 total citations
49 papers, 711 citations indexed

About

Mario Cárdenas is a scholar working on Reproductive Medicine, Social Psychology and Behavioral Neuroscience. According to data from OpenAlex, Mario Cárdenas has authored 49 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Reproductive Medicine, 14 papers in Social Psychology and 10 papers in Behavioral Neuroscience. Recurrent topics in Mario Cárdenas's work include Hypothalamic control of reproductive hormones (20 papers), Ovarian function and disorders (14 papers) and Neuroendocrine regulation and behavior (12 papers). Mario Cárdenas is often cited by papers focused on Hypothalamic control of reproductive hormones (20 papers), Ovarian function and disorders (14 papers) and Neuroendocrine regulation and behavior (12 papers). Mario Cárdenas collaborates with scholars based in Mexico, United States and Spain. Mario Cárdenas's co-authors include Elena Zambrano, Fernando Larrea, Peter W. Nathanielsz, Carolina Guzmán, Rafael A Cabrera, Marta Menjívar, Roberto Chavira, Roberto Domı́nguez, José Pedraza-Chaverrı́ and Alfredo Ulloa‐Aguirre and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Life Sciences.

In The Last Decade

Mario Cárdenas

47 papers receiving 684 citations

Author Peers

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

Author						Papers	Cites
Mario Cárdenas	223	149	134	127	111	49	711
A. Faletti	225 1.0×	95 0.6×	139 1.0×	131 1.0×	91 0.8×	57	859
Gonzalo Cruz	203 0.9×	89 0.6×	133 1.0×	134 1.1×	63 0.6×	37	762
J. H. Leathem	184 0.8×	114 0.8×	126 0.9×	145 1.1×	235 2.1×	71	868
Şahruh Türkmen	201 0.9×	162 1.1×	260 1.9×	74 0.6×	108 1.0×	39	875
Franziska Götz	115 0.5×	132 0.9×	49 0.4×	219 1.7×	98 0.9×	45	673
C. Wayne Simpson	319 1.4×	83 0.6×	183 1.4×	75 0.6×	45 0.4×	40	833
Oduvaldo Câmara Marques Pereira	246 1.1×	138 0.9×	151 1.1×	213 1.7×	161 1.5×	54	852
Andon Hestiantoro	389 1.7×	81 0.5×	278 2.1×	60 0.5×	108 1.0×	90	786
Tsuguo Uemura	566 2.5×	182 1.2×	162 1.2×	49 0.4×	130 1.2×	34	863
Marco A. Cerbón	202 0.9×	108 0.7×	89 0.7×	58 0.5×	205 1.8×	32	792

Countries citing papers authored by Mario Cárdenas

Since Specialization

Citations

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

Fields of papers citing papers by Mario Cárdenas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Cárdenas

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Cárdenas. A scholar is included among the top collaborators of Mario Cárdenas 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 Mario Cárdenas. Mario Cárdenas 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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