Laia Armengot

1.2k total citations
19 papers, 782 citations indexed

About

Laia Armengot is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Laia Armengot has authored 19 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 14 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Laia Armengot's work include Plant Molecular Biology Research (8 papers), Plant Reproductive Biology (8 papers) and Plant nutrient uptake and metabolism (6 papers). Laia Armengot is often cited by papers focused on Plant Molecular Biology Research (8 papers), Plant Reproductive Biology (8 papers) and Plant nutrient uptake and metabolism (6 papers). Laia Armengot collaborates with scholars based in France, Spain and United States. Laia Armengot's co-authors include María Mar Marquès‐Bueno, Yvon Jaillais, Vincent Bayle, Matthieu Pierre Platre, Marie‐Cécile Caillaud, Mathilde Laetitia Audrey Simon, Thomas Stanislas, Lilly Maneta‐Peyret, Patrick Moreau and Joseph Bareille and has published in prestigious journals such as Nature, Science and PLoS ONE.

In The Last Decade

Laia Armengot

18 papers receiving 775 citations

Peers

Laia Armengot
Comparison fields: 5 of 57
  • Plant Science 614
  • Molecular Biology 552
  • Cell Biology 121
  • Biochemistry 74
  • Physiology 21
Replace Thomas Stanislas with:
Thomas Stanislas France
María Mar Marquès‐Bueno Spain
Matthieu Pierre Platre France
Lise C. Noack France
EunKyoung Lee Canada
Mugurel I. Feraru Austria
Mathilde Laetitia Audrey Simon France
Astrid Gadeyne Belgium
Simone Di Rubbo Belgium
Marie-Kristin Nagel Germany
Thomas Stanislas France View profile →
Citations per field, relative to Laia Armengot
Laia Armengot · 1×
Citations per year, relative to Laia Armengot
Laia Armengot · 1×

Countries citing papers authored by Laia Armengot

Since Specialization
Citations

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

Fields of papers citing papers by Laia Armengot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laia Armengot

This figure shows the co-authorship network connecting the top 25 collaborators of Laia Armengot. A scholar is included among the top collaborators of Laia Armengot 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 Laia Armengot. Laia Armengot 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 2
2 6
3 0
4 10
5 22
6 15
7 16
8 17
9 24
10 33
11 164
12 111
13 103
14 177
15 13
16 30
17 2
18 25
19 12

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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