Håkan Viklund

2.0k total citations
10 papers, 1.5k citations indexed

About

Håkan Viklund is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Håkan Viklund has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Håkan Viklund's work include RNA and protein synthesis mechanisms (10 papers), Machine Learning in Bioinformatics (10 papers) and Protein Structure and Dynamics (5 papers). Håkan Viklund is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), Machine Learning in Bioinformatics (10 papers) and Protein Structure and Dynamics (5 papers). Håkan Viklund collaborates with scholars based in Sweden, Italy and Greece. Håkan Viklund's co-authors include Arne Elofsson, Andreas Bernsel, Aron Hennerdal, Marcin J. Skwark, Gunnar von Heijne, Erik Granseth, Erik Lindahl, Costas Papaloukas, Andrea Zauli and Piero Fariselli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Håkan Viklund

10 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Håkan Viklund Sweden	9	1.2k	231	152	134	105	10	1.5k
Andreas Bernsel Sweden	10	1.4k 1.2×	319 1.4×	136 0.9×	211 1.6×	122 1.2×	11	1.8k
Paulo Sérgio Lopes de Oliveira Brazil	24	848 0.7×	116 0.5×	151 1.0×	120 0.9×	59 0.6×	70	1.4k
Bong-Hyun Kim United States	6	1.1k 0.9×	147 0.6×	181 1.2×	80 0.6×	132 1.3×	8	1.4k
Tony Houthaeve Germany	12	1.3k 1.1×	124 0.5×	120 0.8×	203 1.5×	99 0.9×	15	2.0k
Gary Loughran Ireland	24	1.7k 1.4×	148 0.6×	141 0.9×	97 0.7×	112 1.1×	41	2.1k
Françoise Schoentgen France	25	1.2k 1.0×	196 0.8×	180 1.2×	134 1.0×	34 0.3×	40	1.9k
Jean-François Taly Spain	10	904 0.7×	163 0.7×	213 1.4×	72 0.5×	125 1.2×	12	1.4k
Dongrong Chen China	14	1.5k 1.3×	253 1.1×	247 1.6×	177 1.3×	145 1.4×	36	1.8k
Monique Bolotin‐Fukuhara France	32	2.2k 1.8×	177 0.8×	208 1.4×	172 1.3×	36 0.3×	81	2.4k
S. Réty France	25	1.8k 1.4×	181 0.8×	315 2.1×	143 1.1×	93 0.9×	59	2.2k

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-authorship network of co-authors of Håkan Viklund

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

All Works

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10 of 10 papers shown

Bernsel, Andreas, Håkan Viklund, Aron Hennerdal, & Arne Elofsson. (2009). TOPCONS: consensus prediction of membrane protein topology. Nucleic Acids Research. 37(Web Server). W465–W468. 443 indexed citations

Bernsel, Andreas, et al.. (2008). Prediction of membrane-protein topology from first principles. Proceedings of the National Academy of Sciences. 105(20). 7177–7181. 245 indexed citations

Viklund, Håkan, Andreas Bernsel, Marcin J. Skwark, & Arne Elofsson. (2008). SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology. Bioinformatics. 24(24). 2928–2929. 174 indexed citations

Viklund, Håkan & Arne Elofsson. (2008). OCTOPUS: improving topology prediction by two-track ANN-based preference scores and an extended topological grammar. Bioinformatics. 24(15). 1662–1668. 300 indexed citations

Bernsel, Andreas, Håkan Viklund, & Arne Elofsson. (2007). Remote homology detection of integral membrane proteins using conserved sequence features. Proteins Structure Function and Bioinformatics. 71(3). 1387–1399. 6 indexed citations

Papaloukas, Costas, Erik Granseth, Håkan Viklund, & Arne Elofsson. (2007). Estimating the length of transmembrane helices using Z‐coordinate predictions. Protein Science. 17(2). 271–278. 22 indexed citations

Viklund, Håkan, Erik Granseth, & Arne Elofsson. (2006). Structural Classification and Prediction of Reentrant Regions in α-Helical Transmembrane Proteins: Application to Complete Genomes. Journal of Molecular Biology. 361(3). 591–603. 68 indexed citations

Rossi, Ivan, Andrea Zauli, Arne Elofsson, et al.. (2006). PONGO: a web server for multiple predictions of all-alpha transmembrane proteins. Nucleic Acids Research. 34(Web Server). W169–W172. 29 indexed citations

Granseth, Erik, Håkan Viklund, & Arne Elofsson. (2006). ZPRED: Predicting the distance to the membrane center for residues in α-helical membrane proteins. Bioinformatics. 22(14). e191–e196. 41 indexed citations

10.

Viklund, Håkan & Arne Elofsson. (2004). Best α‐helical transmembrane protein topology predictions are achieved using hidden Markov models and evolutionary information. Protein Science. 13(7). 1908–1917. 204 indexed citations

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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