María Pacheco

595 total citations
19 papers, 435 citations indexed

About

María Pacheco is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, María Pacheco has authored 19 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Plant Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in María Pacheco's work include Chromosomal and Genetic Variations (4 papers), Plant tissue culture and regeneration (4 papers) and Plant Disease Resistance and Genetics (3 papers). María Pacheco is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Plant tissue culture and regeneration (4 papers) and Plant Disease Resistance and Genetics (3 papers). María Pacheco collaborates with scholars based in Argentina, Spain and Mexico. María Pacheco's co-authors include Scot H. Hulbert, Víctor L. Ruiz‐Pérez, Judith A. Goodship, Eulalia Valencia, John P. Fellers, Jianfa Bai, Robert L. Bowden, José A. Caparrós‐Martín, Pablo Lapunzina and Natasha Bohorova and has published in prestigious journals such as PLoS ONE, Scientific Reports and Human Molecular Genetics.

In The Last Decade

María Pacheco

19 papers receiving 414 citations

Peers

María Pacheco
Comparison fields: 5 of 60
  • Molecular Biology 297
  • Plant Science 210
  • Genetics 136
  • Biotechnology 37
  • Rheumatology 26
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Yue-Qi Yin China
Jinghua Shi United States
Chaoqun Dong China
Lihua Cao China
Kazuhiro Ohtsu Japan
Hisako Hashimoto Japan
Yidong Wang China
Wenche Kristiansen Norway
Chuanyu Ma China
Yue-Qi Yin China View profile →
Citations per field, relative to María Pacheco
María Pacheco · 1×
Citations per year, relative to María Pacheco
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Countries citing papers authored by María Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by María Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Pacheco

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 6
3 7
4 2
5 12
6
In vitro propagation of Lippia integrifolia (Griseb.) Hier. and detection of genetic instability through ISSR markers of in vitro-cultured plants
4
7 16
8 84
9 12
10 35
11 5
12
Genetically unstable mutants as novel sources of genetic variability: The chloroplast mutator genotype in barley as a tool for exploring the plastid genome
6
13 39
14 77
15 24
16
Ergot resistance in plants of Paspalum dilatatum incorporated by hybridisation with Paspalum urvillei.
15
17 11
18 39
19 40

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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