Sandra Viknander

534 total citations · 1 hit paper
9 papers, 269 citations indexed

About

Sandra Viknander is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Sandra Viknander has authored 9 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Spectroscopy and 3 papers in Materials Chemistry. Recurrent topics in Sandra Viknander's work include Protein Structure and Dynamics (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Sandra Viknander is often cited by papers focused on Protein Structure and Dynamics (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Sandra Viknander collaborates with scholars based in Sweden, Lithuania and United Kingdom. Sandra Viknander's co-authors include Aleksej Zelezniak, Martin K. M. Engqvist, Jan Zrimec, Rolandas Meškys, Otto Savolainen, Simona Povilonienė, Elzbieta Rembeza, Audrius Laurynėnas, Vykintas Jauniškis and Sean R. Johnson and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Sandra Viknander

9 papers receiving 259 citations

Hit Papers

Expanding functional protein sequence spaces using genera... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Expanding functional protein sequence spaces using generative adversarial networks
    2021 202 citations Vykintas Jauniškis, Elzbieta Rembeza et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Viknander Sweden 4 228 33 29 20 16 9 269
Elzbieta Rembeza Sweden 6 276 1.2× 31 0.9× 34 1.2× 23 1.1× 21 1.3× 7 354
Simona Povilonienė Lithuania 4 190 0.8× 25 0.8× 26 0.9× 19 0.9× 15 0.9× 7 238
Vykintas Jauniškis Lithuania 5 293 1.3× 27 0.8× 24 0.8× 39 1.9× 17 1.1× 5 355
Nazim Bouatta United States 4 242 1.1× 36 1.1× 53 1.8× 13 0.7× 8 0.5× 4 291
Charlotte Rochereau United States 2 199 0.9× 28 0.8× 44 1.5× 11 0.6× 7 0.4× 3 237
Anant Kharkar United States 3 197 0.9× 29 0.9× 42 1.4× 11 0.6× 7 0.4× 3 266
Gustaf Ahdritz United States 2 198 0.9× 29 0.9× 42 1.4× 11 0.6× 7 0.4× 2 235
Yixiao Zhai China 8 268 1.2× 48 1.5× 24 0.8× 13 0.7× 13 0.8× 15 341
Kadina E. Johnston United States 9 184 0.8× 13 0.4× 23 0.8× 28 1.4× 26 1.6× 13 243
Casper A. Goverde Switzerland 5 212 0.9× 19 0.6× 43 1.5× 23 1.1× 17 1.1× 7 259

Countries citing papers authored by Sandra Viknander

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Viknander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Viknander

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

All Works

9 of 9 papers shown
1.
Lemke, Oliver, Benjamin M. Heineike, Sandra Viknander, et al.. (2025). The role of metabolism in shaping enzyme structures over 400 million years. Nature. 644(8075). 280–289. 6 indexed citations
2.
Wu, Ke, Yuanyuan Huang, Mihail Anton, et al.. (2025). GotEnzymes2: expanding coverage of enzyme kinetics and thermal properties. Nucleic Acids Research. 54(D1). D583–D592. 1 indexed citations
3.
Buric, Filip, Sandra Viknander, Xiaozhi Fu, et al.. (2024). Amino acid sequence encodes protein abundance shaped by protein stability at reduced synthesis cost. Protein Science. 34(1). e5239–e5239. 1 indexed citations
4.
Johnson, Sean R., et al.. (2024). Computational scoring and experimental evaluation of enzymes generated by neural networks. Nature Biotechnology. 43(3). 396–405. 33 indexed citations
5.
Coleman, Tom, Sandra Viknander, David Sandberg, et al.. (2024). Structure‐based clustering and mutagenesis of bacterial tannases reveals the importance and diversity of active site‐capping domains. Protein Science. 33(12). e5202–e5202. 2 indexed citations
6.
Buric, Filip, Sandra Viknander, Xiaozhi Fu, et al.. (2023). The amino acid sequence determines protein abundance through its conformational stability and reduced synthesis cost. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Johnson, Sean R., et al.. (2023). Computational Scoring and Experimental Evaluation of Enzymes Generated by Neural Networks. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
8.
Li, Gang, Filip Buric, Jan Zrimec, et al.. (2022). Learning deep representations of enzyme thermal adaptation. Protein Science. 31(12). e4480–e4480. 20 indexed citations
9.
Jauniškis, Vykintas, Elzbieta Rembeza, Jan Zrimec, et al.. (2021). Expanding functional protein sequence spaces using generative adversarial networks. Nature Machine Intelligence. 3(4). 324–333. 202 indexed citations breakdown →

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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