Mari Häkkinen

783 total citations
7 papers, 454 citations indexed

About

Mari Häkkinen is a scholar working on Biomedical Engineering, Molecular Biology and Biotechnology. According to data from OpenAlex, Mari Häkkinen has authored 7 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Molecular Biology and 3 papers in Biotechnology. Recurrent topics in Mari Häkkinen's work include Biofuel production and bioconversion (6 papers), Enzyme Production and Characterization (3 papers) and Fungal and yeast genetics research (2 papers). Mari Häkkinen is often cited by papers focused on Biofuel production and bioconversion (6 papers), Enzyme Production and Characterization (3 papers) and Fungal and yeast genetics research (2 papers). Mari Häkkinen collaborates with scholars based in Finland. Mari Häkkinen's co-authors include Markku Saloheimo, Nina Aro, Tiina Pakula, Merja Penttilä, Mikko Arvas, Marika Vitikainen, Mari Valkonen, Ann Westerholm‐Parvinen, Merja Oja and Jaana Kuuskeri and has published in prestigious journals such as Applied Microbiology and Biotechnology, Biotechnology for Biofuels and Microbial Cell Factories.

In The Last Decade

Mari Häkkinen

7 papers receiving 450 citations

Peers

Mari Häkkinen
Comparison fields: 5 of 41
  • Biomedical Engineering 327
  • Molecular Biology 317
  • Plant Science 177
  • Biotechnology 121
  • Pharmacology 49
Replace Giovana Cristina Giannesi with:
Giovana Cristina Giannesi Brazil
Manabu Suto Japan
Johanna Rytioja Finland
Chii‐Gong Tong Taiwan
Birgit S. Gruben Netherlands
George E Anasontzis Sweden
Surisa Suwannarangsee Thailand
J. A. Jorge Brazil
Fedra Francocci Italy
Thiago Machado Pasin Brazil
Giovana Cristina Giannesi Brazil View profile →
Citations per field, relative to Mari Häkkinen
Mari Häkkinen · 1×
Citations per year, relative to Mari Häkkinen
Mari Häkkinen · 1×

Countries citing papers authored by Mari Häkkinen

Since Specialization
Citations

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

Fields of papers citing papers by Mari Häkkinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Häkkinen

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 88
2 39
3 183
4
Transcriptional analysis of Trichoderma reesei under conditions inducing cellulase and hemicellulase production, and identification of factors influencing protein production
2
5 19
6 122
7
Transcriptional analysis of Trichoderma reesei cultivated in the presence of different lignocellulose substrates
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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2026