Sanna Askolin

653 citations
7 papers · 565 · h-index 6

Impact in

Papers in

Sanna Askolin

7 papers receiving 541 citations

Peers

Sanna Askolin
Comparison fields: 5 of 73
  • Biotechnology 114
  • Ecology, Evolution, Behavior and Systematics 127
  • Food Science 116
  • Cell Biology 77
  • Molecular Biology 259
Replace Han A.B. Wösten with:
Han A.B. Wösten Netherlands
Johanna Hakanpää Germany
Harm J. Hektor Netherlands
Marcel L. de Vocht Netherlands
D. L. Hallahan United Kingdom
Kenji Fukunaga Japan
Andrew B. Russell United Kingdom
Sara Longobardi Italy
D. R. Sonneborn United States
Alberto Diego‐Taboada United Kingdom
Sanna Askolin relative to Han A.B. Wösten Netherlands Han A.B. Wösten's profile →
Citations per field
00.5×1.6×
Han A.B. Wösten · 1×
Citations per year

Countries citing papers authored by Sanna Askolin

Since Specialization
Citations

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

Fields of papers citing papers by Sanna Askolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Sanna Askolin, 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 Sanna Askolin Line = papers co-authored together Sanna Askolin links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2003203
2 2006124
3 200179
4 200577
5 200271
6 20047
7
Characterization of the Trichoderma reesei hydrophobins HFBI and HFBII
20064

About Sanna Askolin

Sanna Askolin is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Ecology, Evolution, Behavior and Systematics and Food Science, having authored 7 papers that have together received 565 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Transgenic Plants and Applications (3 papers), Biofuel production and bioconversion (3 papers), Protein Structure and Dynamics (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Hemoglobin structure and function (1 paper), Plant and fungal interactions (1 paper) and Proteins in Food Systems (1 paper). The work is most often cited by research in Biotechnology (114 citations), Ecology, Evolution, Behavior and Systematics (127 citations), Food Science (116 citations), Cell Biology (77 citations) and Molecular Biology (259 citations). Sanna Askolin has collaborated with scholars based in Finland, Netherlands and United Kingdom. Frequent co-authors include Merja Penttilä, Maija Tenkanen, Markus B. Linder, Tiina Nakari‐Setälä, Johanna Hakanpää, Arja Paananen, Juha Rouvinen, Tarja Parkkinen, Han A. B. Wösten and Marcel L. de Vocht. Their work appears in journals such as Applied Microbiology and Biotechnology, Biomacromolecules, Journal of Biological Chemistry, FEMS Microbiology Letters and Acta Crystallographica Section D Biological Crystallography.

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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