M.J. Acosta

33 total papers · 837 total citations
25 papers, 645 citations indexed

About

M.J. Acosta is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, M.J. Acosta has authored 25 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 13 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in M.J. Acosta's work include Chromosomal and Genetic Variations (14 papers), Genetic diversity and population structure (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). M.J. Acosta is often cited by papers focused on Chromosomal and Genetic Variations (14 papers), Genetic diversity and population structure (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). M.J. Acosta collaborates with scholars based in Spain, Italy and United States. M.J. Acosta's co-authors include Antonio Sánchez, Juan Alberto Marchal, Mónica Bullejos, Rafael Díaz de la Guardia, Luis Vázquez-Fonseca, Cristina Cerqua, Eva Trevisson, María Andrea Desbats, Leonardo Salviati and Valentina Giorgio and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, Cell Death and Disease and Genomics.

In The Last Decade

M.J. Acosta

24 papers receiving 636 citations

Author Peers

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

Author Last Decade Papers Cites
M.J. Acosta 348 262 239 62 56 25 645
Sabine Jung‐Klawitter 440 1.3× 190 0.7× 121 0.5× 7 0.1× 45 0.8× 29 642
Caterina De Virgilio 340 1.0× 90 0.3× 60 0.3× 7 0.1× 32 0.6× 22 594
Qian Yang 414 1.2× 97 0.4× 95 0.4× 8 0.1× 14 0.3× 42 633
Yinghua Wang 574 1.6× 161 0.6× 133 0.6× 6 0.1× 15 0.3× 28 786
Tsai‐Yu Tzeng 539 1.5× 325 1.2× 46 0.2× 62 1.0× 4 0.1× 28 743
N. Munakata 314 0.9× 75 0.3× 90 0.4× 11 0.2× 13 0.2× 22 774
Yuwen Liu 424 1.2× 52 0.2× 97 0.4× 10 0.2× 9 0.2× 24 646
Riddhiman Dhar 460 1.3× 74 0.3× 102 0.4× 6 0.1× 17 0.3× 21 587
R. Gary Ritzel 518 1.5× 95 0.4× 57 0.2× 7 0.1× 46 0.8× 14 793
Yuling Liu 394 1.1× 192 0.7× 201 0.8× 7 0.1× 7 0.1× 46 669

Countries citing papers authored by M.J. Acosta

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Acosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.J. Acosta

This figure shows the co-authorship network connecting the top 25 collaborators of M.J. Acosta. A scholar is included among the top collaborators of M.J. Acosta 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 M.J. Acosta. M.J. Acosta 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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