Luisa Cochella

2.2k total citations · 1 hit paper
31 papers, 1.4k citations indexed

About

Luisa Cochella is a scholar working on Molecular Biology, Aging and Cancer Research. According to data from OpenAlex, Luisa Cochella has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Aging and 7 papers in Cancer Research. Recurrent topics in Luisa Cochella's work include Genetics, Aging, and Longevity in Model Organisms (13 papers), RNA Research and Splicing (8 papers) and MicroRNA in disease regulation (7 papers). Luisa Cochella is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (13 papers), RNA Research and Splicing (8 papers) and MicroRNA in disease regulation (7 papers). Luisa Cochella collaborates with scholars based in United States, Austria and Argentina. Luisa Cochella's co-authors include Rachel Green, Oliver Hobert, Chiara Alberti, Baris Tursun, Inés Carrera, Julie L Brunelle, Jingkui Wang, René F. Ketting, Richard J. Poole and Thomas R. Burkard and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Luisa Cochella

30 papers receiving 1.4k citations

Hit Papers

MicroRNAs: From Mechanism to Organism 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MicroRNAs: From Mechanism to Organism
    2020 264 citations Luisa Cochella et al. Frontiers in Cell and Developmental Biology profile →

Peers

Luisa Cochella
Christi M. Gendron United States
Allison L. Abbott United States
John K. Kim United States
Yanxia Bei United States
Ka Ming Pang United States
Katharina E. Hayer United States
Julia Ablaeva United States
Elizabeth B. Goodwin United States
Delia O’Rourke United Kingdom
Dennis Kappei Singapore
Christi M. Gendron United States
Luisa Cochella
Citations per year, relative to Luisa Cochella Luisa Cochella (= 1×) peers Christi M. Gendron

Countries citing papers authored by Luisa Cochella

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Cochella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luisa Cochella

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

All Works

20 of 20 papers shown
1.
Wang, Jingkui, et al.. (2025). An ancient and essential miRNA family controls cellular interaction pathways in C. elegans. Science Advances. 11(36). eadz1934–eadz1934. 1 indexed citations
2.
Colaiácovo, Mónica P., et al.. (2025). An inducible and reversible system to regulate unsaturated fatty acid biosynthesis in C. elegans. G3 Genes Genomes Genetics. 15(4). 1 indexed citations
3.
Lwigale, Peter Y., et al.. (2025). Core microRNAs regulate neural crest delamination and condensation in the developing trigeminal ganglion. Proceedings of the National Academy of Sciences. 122(49). e2517668122–e2517668122.
4.
Sun, Qiong, Niko Popitsch, Tanja A. Schwickert, et al.. (2024). Mime-seq 2.0: a method to sequence microRNAs from specific mouse cell types. The EMBO Journal. 43(12). 2506–2525. 1 indexed citations
5.
Boulias, Konstantinos, Juan I. Fernandino, Eric Lieberman Greer, et al.. (2023). Paternal methotrexate exposure affects sperm small RNA content and causes craniofacial defects in the offspring. Nature Communications. 14(1). 1617–1617. 17 indexed citations
6.
Lendl, Thomas, Jingkui Wang, Anna Schrempf, et al.. (2021). miR-1 sustains muscle physiology by controlling V-ATPase complex assembly. Science Advances. 7(42). eabh1434–eabh1434. 20 indexed citations
7.
Calderón, Lesly, Stephen Malin, Alexandra Schebesta, et al.. (2021). Pax5 regulates B cell immunity by promoting PI3K signaling via PTEN down-regulation. Science Immunology. 6(61). 37 indexed citations
8.
Ketting, René F. & Luisa Cochella. (2020). Concepts and functions of small RNA pathways in C. elegans. Current topics in developmental biology. 144. 45–89. 38 indexed citations
9.
Wang, Jingkui, et al.. (2020). Combinatorial Action of Temporally Segregated Transcription Factors. Developmental Cell. 55(4). 483–499.e7. 31 indexed citations
10.
Cochella, Luisa, et al.. (2020). MicroRNAs: From Mechanism to Organism. Frontiers in Cell and Developmental Biology. 8. 409–409. 264 indexed citations breakdown →
11.
Alberti, Chiara, et al.. (2018). Cell-type specific sequencing of microRNAs from complex animal tissues. Nature Methods. 15(4). 283–289. 64 indexed citations
12.
Latham, Richard, et al.. (2016). Neuron type-specific miRNA represses two broadly expressed genes to modulate an avoidance behavior in C. elegans. Genes & Development. 30(18). 2042–2047. 25 indexed citations
13.
Cochella, Luisa, Baris Tursun, Yi‐Wen Hsieh, et al.. (2013). Two distinct types of neuronal asymmetries are controlled by the Caenorhabditis elegans zinc finger transcription factor die-1. Genes & Development. 28(1). 34–43. 21 indexed citations
14.
Cochella, Luisa & Oliver Hobert. (2012). Embryonic Priming of a miRNA Locus Predetermines Postmitotic Neuronal Left/Right Asymmetry in C. elegans. Cell. 151(6). 1229–1242. 65 indexed citations
15.
Tursun, Baris, Luisa Cochella, Inés Carrera, & Oliver Hobert. (2009). A Toolkit and Robust Pipeline for the Generation of Fosmid-Based Reporter Genes in C. elegans. PLoS ONE. 4(3). e4625–e4625. 143 indexed citations
16.
Didiano, Dominic, Luisa Cochella, Baris Tursun, & Oliver Hobert. (2009). Neuron-type specific regulation of a 3′UTR through redundant and combinatorially acting cis-regulatory elements. RNA. 16(2). 349–363. 15 indexed citations
17.
Youngman, Elaine M., et al.. (2006). Two Distinct Conformations of the Conserved RNA-rich Decoding Center of the Small Ribosomal Subunit Are Recognized by tRNAs and Release Factors. Cold Spring Harbor Symposia on Quantitative Biology. 71(0). 545–549. 13 indexed citations
18.
Cochella, Luisa & Rachel Green. (2005). Fidelity in protein synthesis. Current Biology. 15(14). R536–R540. 47 indexed citations
19.
Cochella, Luisa & Rachel Green. (2004). Isolation of antibiotic resistance mutations in the rRNA by using an in vitro selection system. Proceedings of the National Academy of Sciences. 101(11). 3786–3791. 39 indexed citations
20.
Alonso, G., Claudio A. Pereira, Marı́a S. Remedi, et al.. (2001). Arginine kinase of the flagellate protozoa Trypanosoma cruzi. FEBS Letters. 498(1). 22–25. 55 indexed citations

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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