Marta Menjívar

73 total papers · 2.3k total citations
52 papers, 1.2k citations indexed

About

Marta Menjívar is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Reproductive Medicine. According to data from OpenAlex, Marta Menjívar has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 15 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Reproductive Medicine. Recurrent topics in Marta Menjívar's work include Ovarian function and disorders (8 papers), Genetic Associations and Epidemiology (7 papers) and Estrogen and related hormone effects (7 papers). Marta Menjívar is often cited by papers focused on Ovarian function and disorders (8 papers), Genetic Associations and Epidemiology (7 papers) and Estrogen and related hormone effects (7 papers). Marta Menjívar collaborates with scholars based in Mexico, United States and Finland. Marta Menjívar's co-authors include María Guadalupe Ortiz‐López, Marı́a de los Ángeles Granados-Silvestre, Elena Zambrano, Guadalupe L. Rodríguez‐González, José Pedraza-Chaverrı́, Elvira González de Mejı́a, Peter W. Nathanielsz, Luís Mojica, Berenice Palacios‐González and Mario Cárdenas and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Diabetes.

In The Last Decade

Marta Menjívar

49 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Marta Menjívar 412 277 275 235 201 52 1.2k
Fred I. Chasalow 383 0.9× 225 0.8× 412 1.5× 138 0.6× 132 0.7× 63 1.2k
G. Vallette 509 1.2× 263 0.9× 179 0.7× 88 0.4× 215 1.1× 57 1.3k
Basil A. Stoll 349 0.8× 389 1.4× 194 0.7× 81 0.3× 130 0.6× 92 1.5k
Norma McFarlane‐Anderson 248 0.6× 184 0.7× 302 1.1× 226 1.0× 195 1.0× 54 1.5k
Geli Liu 421 1.0× 151 0.5× 139 0.5× 123 0.5× 80 0.4× 63 1.1k
Ines Bucci 324 0.8× 100 0.4× 442 1.6× 124 0.5× 186 0.9× 73 1.4k
Dwain D. Hagerman 240 0.6× 215 0.8× 194 0.7× 240 1.0× 106 0.5× 51 1.0k
Noriko Ikeda 523 1.3× 353 1.3× 230 0.8× 120 0.5× 111 0.6× 54 1.3k
Marta Ramon‐Krauel 451 1.1× 123 0.4× 140 0.5× 353 1.5× 277 1.4× 41 956
P.J. Collipp 400 1.0× 122 0.4× 289 1.1× 175 0.7× 252 1.3× 91 1.5k

Countries citing papers authored by Marta Menjívar

Since Specialization
Citations

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

Fields of papers citing papers by Marta Menjívar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Menjívar

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