Håkan Viklund

2.0k citations
10 papers · 1.5k · h-index 9

Impact in

    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Protein Structure and Dynamics
    • Genomics and Phylogenetic Studies
    • Lipid Membrane Structure and Behavior
    • Photosynthetic Processes and Mechanisms
    • Glycosylation and Glycoproteins Research
  • Biochemistry top 10%

Papers in

    • RNA and protein synthesis mechanisms 10
    • Machine Learning in Bioinformatics 10
    • Genomics and Phylogenetic Studies 5
    • Protein Structure and Dynamics 5

Håkan Viklund

10 papers receiving 1.5k citations

Peers

Håkan Viklund
Comparison fields: 5 of 90
  • Molecular Biology 1.2k
  • Biochemistry 71
  • Genetics 231
  • Cell Biology 134
  • Microbiology 36
Replace Andreas Bernsel with:
Andreas Bernsel Sweden
Bong-Hyun Kim United States
Castrense Savojardo Italy
Michael Yu United States
Mira Glibowicka Canada
Ichiro Matsumura United States
Tony Houthaeve Germany
Larisa E. Cybulski Argentina
Jean-François Taly Spain
Tom Berkelman United States
Håkan Viklund relative to Andreas Bernsel Sweden Andreas Bernsel's profile →
Citations per field
00.5×1.5×
Andreas Bernsel · 1×
Citations per year

Countries citing papers authored by Håkan Viklund

Since Specialization
Citations

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

Fields of papers citing papers by Håkan Viklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009443
2 2008300
3 2008245
4 2004204
5 2008174
6 200668
7 200641
8 200629
9 200722
10 20076

About Håkan Viklund

Håkan Viklund is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Machine Learning in Bioinformatics (10 papers), Genomics and Phylogenetic Studies (5 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Biochemistry (71 citations), Genetics (231 citations), Cell Biology (134 citations) and Microbiology (36 citations). Håkan Viklund has collaborated with scholars based in Sweden, Greece and Italy. Frequent co-authors include Arne Elofsson, Andreas Bernsel, Aron Hennerdal, Marcin J. Skwark, Gunnar von Heijne, Erik Granseth, Erik Lindahl, Costas Papaloukas, Anders Krogh and Piero Fariselli. Their work appears in journals such as Bioinformatics, Protein Science, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Proteins Structure Function and Bioinformatics.

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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