María Pla

4.5k citations
90 papers · 3.2k · h-index 37

Impact in

Papers in

    • CRISPR and Genetic Engineering 30
    • Insect Resistance and Genetics 13
    • Identification and Quantification in Food 11
    • Genetically Modified Organisms Research 33

María Pla

86 papers receiving 3.0k citations

Peers

María Pla
Comparison fields: 5 of 118
  • Biotechnology 710
  • Plant Science 1.6k
  • Molecular Biology 2.1k
  • Food Science 550
  • Endocrinology 108
Replace Reingard Grabherr with:
Reingard Grabherr Austria
Watanalai Panbangred Thailand
Augusto Schrank Brazil
Yuri Gleba Ukraine
Litao Yang China
Alexeï Sorokin France
Wolfgang Schumann Germany
Abdul Munir Abdul Murad Malaysia
Liqiu Xia China
Maria Helena Pelegrinelli Fungaro Brazil
María Pla relative to Reingard Grabherr Austria Reingard Grabherr's profile →
Citations per field
00.5×4.3×
Reingard Grabherr · 1×
Citations per year

Countries citing papers authored by María Pla

Since Specialization
Citations

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

Fields of papers citing papers by María Pla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside María Pla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with María Pla Line = papers co-authored together María Pla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004201
2 2003125
3 2012122
4 1993112
5 2010102
6 200498
7 200693
8 200492
9 200586
10 200578
11 200377
12 200476
13 200176
14 199174
15 200571
16
Molecular basis of nuclear and cytoplasmic male sterility in higher plants
199468
17 200764
18 198964
19 200660
20 200359

About María Pla

María Pla is a scholar working on Molecular Biology, Plant Science, Biotechnology, Animal Science and Zoology and Food Science, having authored 90 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (33 papers), CRISPR and Genetic Engineering (30 papers), Insect Resistance and Genetics (13 papers), Identification and Quantification in Food (11 papers), Animal Genetics and Reproduction (9 papers), Transgenic Plants and Applications (9 papers), Listeria monocytogenes in Food Safety (9 papers) and Salmonella and Campylobacter epidemiology (7 papers). The work is most often cited by research in Biotechnology (710 citations), Plant Science (1.6k citations), Molecular Biology (2.1k citations), Food Science (550 citations) and Endocrinology (108 citations). María Pla has collaborated with scholars based in Spain, France and Netherlands. Frequent co-authors include Teresa Esteve, Marta Hernández, David Rodrı́guez-Làzaro, Anna Nadal, Salomé Prat, Anna Coll, Pere Puigdomènech, Anna Jofré, Mariela Scortti and José A. Vázquez‐Boland. Their work appears in journals such as Plant Molecular Biology, Journal of Agricultural and Food Chemistry, Transgenic Research, Applied and Environmental Microbiology and PLoS ONE.

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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