Björn Wallner

5.9k citations
74 papers · 3.6k indexed · 1 hit paper · h-index 31

Björn Wallner

72 papers receiving 3.5k citations

Hit Papers

Can correct protein models be identified?5892003202620102018100200300400500

Peers

Björn Wallner
Comparison fields: 5 of 139
  • Molecular Biology 3.0k
  • Computational Theory and Mathematics 477
  • Materials Chemistry 884
  • Structural Biology 19
  • Cellular and Molecular Neuroscience 205
Replace Zhexin Xiang with:
Zhexin Xiang United States
Maxim V. Shapovalov United States
Cyril Dominguez United Kingdom
Zhenling Peng China
Marc F. Lensink France
Matthew J. O’Meara United States
Sebastian Kmiecik Poland
Alexander Rose Germany
Thomas A. Hopf United States
Anna R. Panchenko United States
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Citations per field
00.5×10×17×
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Citations per year

Countries citing papers authored by Björn Wallner

Since Specialization
Citations

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

Fields of papers citing papers by Björn Wallner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Björn Wallner, 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 Björn Wallner Line = papers co-authored together Björn Wallner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202426
2 20242
3 202425
4 202419
5 202340
6 20223
7 202215
8 20202
9 202031
10 201946
11 201958
12 201939
13 201811
14 201727
15 201718
16 201616
17 201218
18 200954
19 200326
20
A commentary on the "Benedictus"
19571

About Björn Wallner

Björn Wallner is a scholar working on Molecular Biology, Anatomy, Classics, Materials Chemistry and Religious studies, having authored 74 papers that have together received 3.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (42 papers), Enzyme Structure and Function (21 papers), Machine Learning in Bioinformatics (16 papers), RNA and protein synthesis mechanisms (14 papers), Bioinformatics and Genomic Networks (9 papers), Genomics and Phylogenetic Studies (6 papers), Computational Drug Discovery Methods (6 papers) and Ion channel regulation and function (6 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Computational Theory and Mathematics (477 citations), Materials Chemistry (884 citations), Structural Biology (19 citations) and Cellular and Molecular Neuroscience (205 citations). Björn Wallner has collaborated with scholars based in Sweden, United States and Canada. Frequent co-authors include Arne Elofsson, Sankar Basu, Erik Lindahl, Claudio Mirabello, Isak Johansson-Åkhe, Karolis Uziela, Arjun Ray, Per Larsson, Nanjiang Shu and Patrick Barth. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Protein Science, PLoS ONE and Scientific Reports.

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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