Mato Lagator

517 citations
18 papers · 292 · h-index 13

Impact in

Papers in

    • Evolution and Genetic Dynamics 15
    • CRISPR and Genetic Engineering 6
    • Gene Regulatory Network Analysis 4

Mato Lagator

17 papers receiving 291 citations

Peers

Mato Lagator
Comparison fields: 5 of 59
  • Molecular Medicine 33
  • Pollution 66
  • Genetics 131
  • Applied Microbiology and Biotechnology 8
  • Plant Science 94
Replace Vicenta Millán with:
Vicenta Millán Spain
Christopher Blake Denmark
Andrew Matthews United Kingdom
Florien A. Gorter Netherlands
D.C. Nowell South Africa
Olivia Kosterlitz United States
Jan A. C. Vriezen United States
Tao Tian China
R V Miller United States
Marcela A. Rodríguez Chile
Mato Lagator relative to Vicenta Millán Spain Vicenta Millán's profile →
Citations per field
00.5×4.5×
Vicenta Millán · 1×
Citations per year

Countries citing papers authored by Mato Lagator

Since Specialization
Citations

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

Fields of papers citing papers by Mato Lagator

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Mato Lagator, 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 Mato Lagator Line = papers co-authored together Mato Lagator links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201365
2 202030
3 201228
4 201219
5 201417
6 201816
7 202016
8 201715
9 201715
10 202114
11 201413
12 201513
13 202213
14 20237
15 20247
16 20253
17 20241
18 20250

About Mato Lagator

Mato Lagator is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Nature and Landscape Conservation and Pollution, having authored 18 papers that have together received 292 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (15 papers), CRISPR and Genetic Engineering (6 papers), Antibiotic Resistance in Bacteria (5 papers), Gene Regulatory Network Analysis (4 papers), Plant and animal studies (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Evolutionary Game Theory and Cooperation (3 papers). The work is most often cited by research in Molecular Medicine (33 citations), Pollution (66 citations), Genetics (131 citations), Applied Microbiology and Biotechnology (8 citations) and Plant Science (94 citations). Mato Lagator has collaborated with scholars based in United Kingdom, Austria and Australia. Frequent co-authors include Paul Neve, Nick Colegrave, Jonathan P. Bollback, Tom Vogwill, Călin C. Guet, Andrew Mead, Hande Acar Kirit, Gašper Tkačik, Hildegard Uecker and Anna M. C. Andersson. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Molecular Biology and Evolution, eLife, Nature Ecology & Evolution and Journal of Evolutionary 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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