Lars Skjærven

2.1k total citations · 1 hit paper
33 papers, 1.5k citations indexed

About

Lars Skjærven is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Lars Skjærven has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Materials Chemistry and 6 papers in Computational Theory and Mathematics. Recurrent topics in Lars Skjærven's work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (11 papers) and Computational Drug Discovery Methods (6 papers). Lars Skjærven is often cited by papers focused on Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (11 papers) and Computational Drug Discovery Methods (6 papers). Lars Skjærven collaborates with scholars based in Norway, United States and Spain. Lars Skjærven's co-authors include Barry J. Grant, Xin‐Qiu Yao, Nathalie Reuter, Aurora Martı́nez, Guido Scarabelli, Siv Midtun Hollup, Teresa Carlomagno, Bernd Simon, Frank Gabel and Audronė Lapinaitė and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Lars Skjærven

33 papers receiving 1.5k citations

Hit Papers

The Bio3D packages for structural bioinformatics 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Lars Skjærven
Timothy R. Lezon United States
David Sehnal Czechia
Xin‐Qiu Yao United States
Dawei Lin United States
Ondřej Strnad Saudi Arabia
Sergey Lyskov United States
Lidio Meireles United States
Keehyoung Joo South Korea
John D. Bickel United States
Timothy R. Lezon United States
Lars Skjærven
Citations per year, relative to Lars Skjærven Lars Skjærven (= 1×) peers Timothy R. Lezon

Countries citing papers authored by Lars Skjærven

Since Specialization
Citations

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

Fields of papers citing papers by Lars Skjærven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Skjærven

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

All Works

20 of 20 papers shown
1.
Elahi, Mehdi, et al.. (2023). Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. 1084–1089. 8 indexed citations
2.
Grant, Barry J., Lars Skjærven, & Xin‐Qiu Yao. (2020). Comparative Protein Structure Analysis with Bio3D-Web. Methods in molecular biology. 2112. 15–28. 4 indexed citations
3.
Flydal, Marte I., Siseth Martínez‐Caballero, Lars Skjærven, et al.. (2019). Structure of full-length human phenylalanine hydroxylase in complex with tetrahydrobiopterin. Proceedings of the National Academy of Sciences. 116(23). 11229–11234. 43 indexed citations
4.
Toska, Karen, Caroline Schmitt, Lars Skjærven, et al.. (2019). A Pharmacological Chaperone Therapy for Acute Intermittent Porphyria. Molecular Therapy. 28(2). 677–689. 14 indexed citations
5.
Jariwala, Shashank, Lars Skjærven, Xin‐Qiu Yao, & Barry J. Grant. (2017). Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web. Journal of Visualized Experiments. 2 indexed citations
6.
Urbaneja, Marı́a A., Lars Skjærven, Jarl Underhaug, et al.. (2017). Conformational stabilization as a strategy to prevent nucleophosmin mislocalization in leukemia. Scientific Reports. 7(1). 13959–13959. 7 indexed citations
7.
Jariwala, Shashank, Lars Skjærven, Xin‐Qiu Yao, & Barry J. Grant. (2017). Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web. Journal of Visualized Experiments. 1 indexed citations
8.
Yao, Xin‐Qiu, Rabia U. Malik, Nicholas W. Griggs, et al.. (2016). Dynamic Coupling and Allosteric Networks in the Alpha Subunit of Heterotrimeric G Proteins. Biophysical Journal. 110(3). 427a–427a. 3 indexed citations
9.
Baumann, Anne, et al.. (2016). Stable preparations of tyrosine hydroxylase provide the solution structure of the full-length enzyme. Scientific Reports. 6(1). 30390–30390. 25 indexed citations
10.
Skjærven, Lars, Shashank Jariwala, Xin‐Qiu Yao, Julien Idé, & Barry J. Grant. (2016). The Bio3D Project: Interactive Tools for Structural Bioinformatics. Biophysical Journal. 110(3). 379a–379a. 3 indexed citations
11.
Yao, Xin‐Qiu, Rabia U. Malik, Nicholas W. Griggs, et al.. (2015). Dynamic Coupling and Allosteric Networks in the α Subunit of Heterotrimeric G Proteins. Journal of Biological Chemistry. 291(9). 4742–4753. 61 indexed citations
12.
Skjærven, Lars, Jorge Cuéllar, Aurora Martı́nez, & José Valpuesta. (2015). Dynamics, flexibility, and allostery in molecular chaperonins. FEBS Letters. 589(19PartA). 2522–2532. 63 indexed citations
13.
Yao, Xin‐Qiu, Guido Scarabelli, Lars Skjærven, & Barry J. Grant. (2014). The Bio3D Package: New Interactive Tools for Structural Bioinformatics. Biophysical Journal. 106(2). 406a–406a. 4 indexed citations
14.
Tiwari, Sandhya P., Edvin Fuglebakk, Siv Midtun Hollup, et al.. (2014). WEBnm@ v2.0: Web server and services for comparing protein flexibility. BMC Bioinformatics. 15(1). 427–427. 88 indexed citations
15.
Skjærven, Lars, Xin‐Qiu Yao, Guido Scarabelli, & Barry J. Grant. (2014). Integrating protein structural dynamics and evolutionary analysis with Bio3D. BMC Bioinformatics. 15(1). 399–399. 311 indexed citations
16.
Skjærven, Lars, Arturo Muga, Nathalie Reuter, & Aurora Martı́nez. (2012). A dynamic model of long‐range conformational adaptations triggered by nucleotide binding in GroEL‐GroES. Proteins Structure Function and Bioinformatics. 80(10). 2333–2346. 5 indexed citations
17.
Skjærven, Lars, Ming Ying, Øyvind Halskau, et al.. (2012). The Peripheral Binding of 14-3-3γ to Membranes Involves Isoform-Specific Histidine Residues. PLoS ONE. 7(11). e49671–e49671. 15 indexed citations
18.
Skjærven, Lars, Barry J. Grant, Arturo Muga, et al.. (2011). Conformational Sampling and Nucleotide-Dependent Transitions of the GroEL Subunit Probed by Unbiased Molecular Dynamics Simulations. PLoS Computational Biology. 7(3). e1002004–e1002004. 27 indexed citations
19.
Skjærven, Lars, Aurora Martı́nez, & Nathalie Reuter. (2010). Principal component and normal mode analysis of proteins; a quantitative comparison using the GroEL subunit. Proteins Structure Function and Bioinformatics. 79(1). 232–243. 103 indexed citations
20.
Skjærven, Lars, Inge Jonassen, & Nathalie Reuter. (2007). TMM@: a web application for the analysis of transmembrane helix mobility. BMC Bioinformatics. 8(1). 232–232. 2 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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