Rita Rebollo

1.8k citations
36 papers · 1.2k · h-index 15

Impact in

    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics
    • CRISPR and Genetic Engineering
    • Genomics and Phylogenetic Studies
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms

Papers in

    • Chromosomal and Genetic Variations 22
    • Plant Virus Research Studies 3
    • Insect symbiosis and bacterial influences 8
    • Insect and Pesticide Research 3

Rita Rebollo

34 papers receiving 1.1k citations

Peers

Rita Rebollo
Comparison fields: 5 of 90
  • Plant Science 734
  • Molecular Biology 783
  • Genetics 183
  • Insect Science 71
  • Aging 7
Replace Chengyi Song with:
Chengyi Song China
Muhammad Tariq Pakistan
Daphné Reiss France
Sophie Lanciano France
Xiao‐Wen Cheng China
Lecong Zhou United States
Mark Walton United States
Le Ann Blomberg United States
Donghui Zhang China
David Morrice United Kingdom
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Citations per field
00.5×2×4×6×7.1×
Chengyi Song · 1×
Citations per year

Countries citing papers authored by Rita Rebollo

Since Specialization
Citations

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

Fields of papers citing papers by Rita Rebollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rita Rebollo, 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 Rita Rebollo Line = papers co-authored together Rita Rebollo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012405
2 2010120
3 2011114
4 202162
5 201461
6 201250
7 202145
8 201237
9 201136
10 202135
11 201222
12 202219
13 201718
14 202316
15 201215
16 200814
17 201213
18 202312
19 200911
20 20129

About Rita Rebollo

Rita Rebollo is a scholar working on Plant Science, Insect Science, Molecular Biology, Genetics and Immunology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (22 papers), CRISPR and Genetic Engineering (11 papers), Genomics and Phylogenetic Studies (9 papers), Insect symbiosis and bacterial influences (8 papers), Insect Resistance and Genetics (4 papers), Plant Virus Research Studies (3 papers), Genomics and Chromatin Dynamics (3 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Plant Science (734 citations), Molecular Biology (783 citations), Genetics (183 citations), Insect Science (71 citations) and Aging (7 citations). Rita Rebollo has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Dixie L. Mager, Mark T. Romanish, Cristina Vieira, Béatrice Horard, Benjamin Hubert, Liane Gagnier, Mohammad Mahdi Karimi, Ying Zhang, Matthew C. Lorincz and Marie Fablet. Their work appears in journals such as Mobile DNA, Genome biology, Microbiome, Gene and Nature Cell Biology.

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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