Magnus Ekeberg

1.1k total citations · 1 hit paper
4 papers, 682 citations indexed

About

Magnus Ekeberg is a scholar working on Molecular Biology, Condensed Matter Physics and Information Systems. According to data from OpenAlex, Magnus Ekeberg has authored 4 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Condensed Matter Physics and 1 paper in Information Systems. Recurrent topics in Magnus Ekeberg's work include Protein Structure and Dynamics (4 papers), Complex Network Analysis Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). Magnus Ekeberg is often cited by papers focused on Protein Structure and Dynamics (4 papers), Complex Network Analysis Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). Magnus Ekeberg collaborates with scholars based in Sweden, Finland and China. Magnus Ekeberg's co-authors include Erik Aurell, Martin Weigt, Cecilia Lövkvist, Yueheng Lan, Tuomo Hartonen, David Menéndez Hurtado, Arne Elofsson, Mirco Michel and Marcin J. Skwark and has published in prestigious journals such as Physical Review Letters, Bioinformatics and Journal of Computational Physics.

In The Last Decade

Magnus Ekeberg

4 papers receiving 674 citations

Hit Papers

Improved contact prediction in proteins: Using pseudolike... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Magnus Ekeberg Sweden 4 560 114 106 58 52 4 682
Bryan Lunt United States 4 988 1.8× 203 1.8× 210 2.0× 39 0.7× 35 0.7× 8 1.1k
Cecilia Lövkvist Denmark 9 695 1.2× 135 1.2× 76 0.7× 29 0.5× 15 0.3× 13 796
Heungwon Park United States 14 306 0.5× 102 0.9× 43 0.4× 47 0.8× 94 1.8× 23 610
Susanna Röblitz Germany 11 320 0.6× 91 0.8× 69 0.7× 20 0.3× 33 0.6× 48 654
Lothar Reich Germany 7 678 1.2× 45 0.4× 197 1.9× 10 0.2× 53 1.0× 7 822
Michele Castellana France 9 335 0.6× 60 0.5× 72 0.7× 9 0.2× 51 1.0× 22 521
Marie Doumic France 15 262 0.5× 69 0.6× 22 0.2× 16 0.3× 70 1.3× 47 679
Chris A. Brackley United Kingdom 21 1.3k 2.2× 188 1.6× 28 0.3× 7 0.1× 78 1.5× 51 1.5k
Serena Bradde United States 10 467 0.8× 291 2.6× 12 0.1× 30 0.5× 67 1.3× 13 706
Jérôme Tubiana Israel 11 275 0.5× 23 0.2× 34 0.3× 70 1.2× 56 1.1× 24 465

Countries citing papers authored by Magnus Ekeberg

Since Specialization
Citations

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

Fields of papers citing papers by Magnus Ekeberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magnus Ekeberg

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

All Works

4 of 4 papers shown
1.
Michel, Mirco, Marcin J. Skwark, David Menéndez Hurtado, Magnus Ekeberg, & Arne Elofsson. (2017). Predicting accurate contacts in thousands of Pfam domain families using PconsC3. Bioinformatics. 33(18). 2859–2866. 30 indexed citations
2.
Ekeberg, Magnus, Tuomo Hartonen, & Erik Aurell. (2014). Fast pseudolikelihood maximization for direct-coupling analysis of protein structure from many homologous amino-acid sequences. Journal of Computational Physics. 276. 341–356. 116 indexed citations
3.
Ekeberg, Magnus, Cecilia Lövkvist, Yueheng Lan, Martin Weigt, & Erik Aurell. (2013). Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models. Physical Review E. 87(1). 12707–12707. 438 indexed citations breakdown →
4.
Aurell, Erik & Magnus Ekeberg. (2012). Inverse Ising Inference Using All the Data. Physical Review Letters. 108(9). 90201–90201. 98 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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