Diego Libkind

117 papers receiving 5.2k citations

Diego Libkind's Hit Papers

Tempo and Mode of Genome Evolution in the Budding Yeast Subphylum 2018 · 427 citations
4270+2+5Years since publication100200300400

Peers

Diego Libkind
Comparison fields: 5 of 95
  • Biotechnology 682
  • Food Science 1k
  • Molecular Biology 2.9k
  • Ecology 631
  • Cell Biology 233
Replace Hideto Takami with:
Hideto Takami Japan
Tristan Barbeyron France
Cene Gostinčar Slovenia
María Rosa van Broock Argentina
Guðmundur Óli Hreggviðsson Iceland
Dirk Albrecht Germany
Hemalatha Golaconda Ramulu France
Oleg N. Reva South Africa
Bin-Bin Xie China
Nathan P. McNulty United States
Diego Libkind relative to Hideto Takami Japan Hideto Takami's profile →
Citations per field
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Hideto Takami · 1×
Citations per year

Countries citing papers authored by Diego Libkind

Since Specialization
Citations

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

Fields of papers citing papers by Diego Libkind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Diego Libkind, 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 Diego Libkind Line = papers co-authored together Diego Libkind links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011528
2
Tempo and Mode of Genome Evolution in the Budding Yeast Subphylum
Hit paper breakdown →
2018427
3 2014182
4 2016182
5 2015157
6 2011153
7 2003144
8 2007143
9 2017142
10 2007137
11 2014119
12 2019109
13 2010105
14 2015100
15 201196
16 200795
17 201691
18 200684
19 201983
20 200978

About Diego Libkind

Diego Libkind is a scholar working on Biotechnology, Molecular Biology, Food Science, Ecology and Dermatology, having authored 120 papers that have together received 5.3k indexed citations. Recurring topics across this work include Yeasts and Rust Fungi Studies (69 papers), Microbial Metabolism and Applications (20 papers), Fungal and yeast genetics research (19 papers), Fermentation and Sensory Analysis (16 papers), Polar Research and Ecology (13 papers), Genetic diversity and population structure (7 papers), Skin Protection and Aging (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). The work is most often cited by research in Biotechnology (682 citations), Food Science (1k citations), Molecular Biology (2.9k citations), Ecology (631 citations) and Cell Biology (233 citations). Diego Libkind has collaborated with scholars based in Argentina, Portugal and United States. Frequent co-authors include María Rosa van Broock, José Paulo Sampaio, Chris Todd Hittinger, Martín Moliné, Paula M. Gonçalves, Silvia B. Brizzio, Virginia de García, Carla Gonçalves, Carlos Augusto Rosa and Pietro Buzzini. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, FEMS Yeast Research, FEMS Microbiology Ecology, Boletín de la Sociedad Argentina de Botánica and Journal of Basic Microbiology.

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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