Martin Larralde

1.3k total citations
11 papers, 110 citations indexed

About

Martin Larralde is a scholar working on Molecular Biology, Ecology and Pharmacology. According to data from OpenAlex, Martin Larralde has authored 11 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 1 paper in Pharmacology. Recurrent topics in Martin Larralde's work include Genomics and Phylogenetic Studies (4 papers), Machine Learning in Bioinformatics (2 papers) and Bacteriophages and microbial interactions (2 papers). Martin Larralde is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Machine Learning in Bioinformatics (2 papers) and Bacteriophages and microbial interactions (2 papers). Martin Larralde collaborates with scholars based in Germany, Netherlands and France. Martin Larralde's co-authors include Georg Zeller, Antônio Pedro Camargo, Reza M. Salek, Thomas N. Lawson, Andrea Telatin, Robert A. Edwards, Pablo Moreno, Ryan Cook, Ralf J. M. Weber and Philippe Rocca‐Serra and has published in prestigious journals such as Nature Communications, Bioinformatics and ACS Synthetic Biology.

In The Last Decade

Martin Larralde

10 papers receiving 109 citations

Peers

Martin Larralde
Comparison fields: 5 of 49
  • Molecular Biology 75
  • Ecology 57
  • Plant Science 14
  • Genetics 9
  • Spectroscopy 6
Replace Riccardo Vicedomini with:
Riccardo Vicedomini France
Fernando Meyer Germany
Lai Song China
Baofeng Jia Canada
Stephan Majda Germany
Gilda Amaral Brazil
Hamid Mirebrahim United States
Quentin Clayssen Switzerland
Hermione J. Webster United Kingdom
Philippe Chlenski United States
Riccardo Vicedomini France View profile →
Citations per field, relative to Martin Larralde
Martin Larralde · 1×
Citations per year, relative to Martin Larralde
Martin Larralde · 1×

Countries citing papers authored by Martin Larralde

Since Specialization
Citations

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

Fields of papers citing papers by Martin Larralde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Larralde

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 5
5 5
6 42
7 42
8 1
9 1
10 11
11 1

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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