Mariano Labrador

1.1k total citations
27 papers, 827 citations indexed

About

Mariano Labrador is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Mariano Labrador has authored 27 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Mariano Labrador's work include Chromosomal and Genetic Variations (17 papers), Genomics and Chromatin Dynamics (14 papers) and RNA Research and Splicing (10 papers). Mariano Labrador is often cited by papers focused on Chromosomal and Genetic Variations (17 papers), Genomics and Chromatin Dynamics (14 papers) and RNA Research and Splicing (10 papers). Mariano Labrador collaborates with scholars based in United States and Spain. Mariano Labrador's co-authors include Victor G. Corces, Antonio Fontdevila, Todd A. Schoborg, Mercè Farré, Frederic Utzet, Fabien Mongélard, T. I. Gerasimova, Ellen Baxter, Thomas C. Dockendorff and Ryan Rickels and has published in prestigious journals such as Nature, Cell and Genes & Development.

In The Last Decade

Mariano Labrador

27 papers receiving 811 citations

Peers

Mariano Labrador
Comparison fields: 5 of 61
  • Molecular Biology 696
  • Plant Science 413
  • Genetics 166
  • Cell Biology 36
  • Immunology 24
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Dirk‐Henner Lankenau Germany
Gioacchino Palumbo Italy
Diane E. Cryderman United States
Cameron Kennedy United States
Paloma M. Guzzardo United States
Yuzo Niki Japan
Elizabeth J. B. Williams United Kingdom
Jiro C. Yasuhara United States
Lev J. Mizrokhi Russia
Chung-Yi Nien United States
Dirk‐Henner Lankenau Germany View profile →
Citations per field, relative to Mariano Labrador
Mariano Labrador · 1×
Citations per year, relative to Mariano Labrador
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Countries citing papers authored by Mariano Labrador

Since Specialization
Citations

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

Fields of papers citing papers by Mariano Labrador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariano Labrador

This figure shows the co-authorship network connecting the top 25 collaborators of Mariano Labrador. A scholar is included among the top collaborators of Mariano Labrador 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 Mariano Labrador. Mariano Labrador 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
# Work Indexed citations
1 4
2 8
3 1
4 4
5 30
6 6
7 16
8 11
9 15
10 10
11 6
12 24
13 180
14 58
15 4
16 18
17 20
18 37
19 12
20 23

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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