Kresten Lindorff‐Larsen

30.3k total citations · 11 hit papers
227 papers, 19.0k citations indexed

About

Kresten Lindorff‐Larsen is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Kresten Lindorff‐Larsen has authored 227 papers receiving a total of 19.0k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Molecular Biology, 86 papers in Materials Chemistry and 34 papers in Spectroscopy. Recurrent topics in Kresten Lindorff‐Larsen's work include Protein Structure and Dynamics (123 papers), Enzyme Structure and Function (78 papers) and RNA and protein synthesis mechanisms (52 papers). Kresten Lindorff‐Larsen is often cited by papers focused on Protein Structure and Dynamics (123 papers), Enzyme Structure and Function (78 papers) and RNA and protein synthesis mechanisms (52 papers). Kresten Lindorff‐Larsen collaborates with scholars based in Denmark, United States and United Kingdom. Kresten Lindorff‐Larsen's co-authors include Stefano Piana, David E. Shaw, Ron O. Dror, Paul Maragakis, John L. Klepeis, Kim Palmö, David Shaw, Michele Vendruscolo, Christopher M. Dobson and Michael P. Eastwood and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kresten Lindorff‐Larsen

219 papers receiving 18.8k citations

Hit Papers

Improved side‐chain torsi... 2004 2026 2011 2018 2010 2011 2010 2011 2004 1000 2.0k 3.0k 4.0k
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. Improved side‐chain torsion potentials for the Amber ff99SB protein force field
    2010 4.7k citations Kresten Lindorff‐Larsen, Stefano Piana et al. profile →
  2. How Fast-Folding Proteins Fold
    2011 1.5k citations Kresten Lindorff‐Larsen, Stefano Piana et al. Science profile →
  3. Atomic-Level Characterization of the Structural Dynamics of Proteins
    2010 1.4k citations Kresten Lindorff‐Larsen, Stefano Piana et al. Science profile →
  4. How Robust Are Protein Folding Simulations with Respect to Force Field Parameterization?
    2011 674 citations Stefano Piana, Kresten Lindorff‐Larsen et al. Biophysical Journal profile →
  5. Mapping Long-Range Interactions in α-Synuclein using Spin-Label NMR and Ensemble Molecular Dynamics Simulations
    2004 596 citations Kresten Lindorff‐Larsen et al. Journal of the American Chemical Society profile →
  6. Simultaneous determination of protein structure and dynamics
    2005 582 citations Kresten Lindorff‐Larsen et al. profile →
  7. Long-timescale molecular dynamics simulations of protein structure and function
    2009 578 citations Kresten Lindorff‐Larsen et al. profile →
  8. Systematic Validation of Protein Force Fields against Experimental Data
    2012 538 citations Kresten Lindorff‐Larsen, Stefano Piana et al. PLoS ONE profile →
  9. Accurate model of liquid–liquid phase behavior of intrinsically disordered proteins from optimization of single-chain properties
    2021 207 citations Giulio Tesei, Kresten Lindorff‐Larsen et al. Proceedings of the National Academy of Sciences profile →
  10. Conformational ensembles of the human intrinsically disordered proteome
    2024 127 citations Giulio Tesei, Nicolas Jonsson et al. profile →
  11. Prediction of phase-separation propensities of disordered proteins from sequence
    2025 28 citations Sören von Bülow, Giulio Tesei et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kresten Lindorff‐Larsen Denmark 53 15.3k 5.5k 2.6k 1.9k 1.4k 227 19.0k
Stefano Piana Italy 43 11.6k 0.8× 4.8k 0.9× 2.0k 0.8× 2.1k 1.1× 1.2k 0.9× 87 15.7k
Michael Feig United States 54 16.6k 1.1× 4.4k 0.8× 2.0k 0.7× 2.9k 1.5× 1.6k 1.2× 176 21.3k
Huan‐Xiang Zhou United States 69 14.3k 0.9× 4.6k 0.8× 1.8k 0.7× 2.2k 1.1× 1.5k 1.1× 407 18.9k
Robert B. Best United States 68 15.1k 1.0× 5.6k 1.0× 2.1k 0.8× 3.6k 1.9× 744 0.5× 185 18.6k
Carlos Simmerling United States 43 20.9k 1.4× 5.3k 1.0× 2.4k 0.9× 2.6k 1.4× 3.6k 2.6× 106 28.3k
Alexey V. Onufriev United States 37 13.7k 0.9× 3.4k 0.6× 1.5k 0.6× 2.4k 1.3× 2.5k 1.8× 100 19.0k
Ray Luo United States 43 12.6k 0.8× 3.3k 0.6× 1.6k 0.6× 2.1k 1.1× 2.3k 1.7× 180 17.5k
Szilárd Páll Sweden 6 13.3k 0.9× 4.0k 0.7× 1.6k 0.6× 2.4k 1.3× 2.3k 1.7× 15 24.9k
Bert L. de Groot Germany 66 15.7k 1.0× 3.4k 0.6× 2.1k 0.8× 2.0k 1.1× 1.9k 1.4× 229 21.3k
Yong Duan United States 41 10.5k 0.7× 3.1k 0.6× 1.5k 0.6× 1.8k 0.9× 1.8k 1.3× 197 14.8k

Countries citing papers authored by Kresten Lindorff‐Larsen

Since Specialization
Citations

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

Fields of papers citing papers by Kresten Lindorff‐Larsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kresten Lindorff‐Larsen. 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 Kresten Lindorff‐Larsen. The network helps show where Kresten Lindorff‐Larsen may publish in the future.

Co-authorship network of co-authors of Kresten Lindorff‐Larsen

This figure shows the co-authorship network connecting the top 25 collaborators of Kresten Lindorff‐Larsen. A scholar is included among the top collaborators of Kresten Lindorff‐Larsen 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 Kresten Lindorff‐Larsen. Kresten Lindorff‐Larsen 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.
Larsen, Jacob Aunstrup, et al.. (2025). The mechanism of amyloid fibril growth from Φ-value analysis. Nature Chemistry. 17(3). 403–411. 6 indexed citations
2.
Jonsson, Nicolas, Kresten Lindorff‐Larsen, Per Bruheim, et al.. (2025). Extreme multivalency and a composite short linear motif facilitate PCNA ‐binding, localisation and abundance of p21 ( CDKN1A ). FEBS Journal. 292(16). 4314–4332. 1 indexed citations
3.
Bülow, Sören von, et al.. (2025). Prediction of phase-separation propensities of disordered proteins from sequence. Proceedings of the National Academy of Sciences. 122(13). e2417920122–e2417920122. 28 indexed citations breakdown →
4.
Pesce, Francesco, Anne Bremer, Giulio Tesei, et al.. (2024). Design of intrinsically disordered protein variants with diverse structural properties. Science Advances. 10(35). eadm9926–eadm9926. 22 indexed citations
5.
Thomasen, F. Emil, et al.. (2024). Rescaling protein-protein interactions improves Martini 3 for flexible proteins in solution. Nature Communications. 15(1). 6645–6645. 27 indexed citations
6.
Piovesan, Damiano, Alessio Del Conte, Maria Cristina Aspromonte, et al.. (2024). MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins. Nucleic Acids Research. 53(D1). D495–D503. 13 indexed citations
7.
Sagar, Amin, et al.. (2023). WASCO: A Wasserstein-based Statistical Tool to Compare Conformational Ensembles of Intrinsically Disordered Proteins. Journal of Molecular Biology. 435(14). 168053–168053. 11 indexed citations
8.
Cagiada, Matteo, Marinella Gebbia, Anette P. Gjesing, et al.. (2023). A comprehensive map of human glucokinase variant activity. Genome biology. 24(1). 97–97. 28 indexed citations
9.
Svenningsen, Esben B., Rasmus N. Ottosen, Yong Wang, et al.. (2022). The covalent reactivity of functionalized 5-hydroxy-butyrolactams is the basis for targeting of fatty acid binding protein 5 (FABP5) by the neurotrophic agent MT-21. RSC Chemical Biology. 3(10). 1216–1229. 2 indexed citations
10.
Rosenbæk, Lena L., Rasmus Kock Flygaard, Michael Habeck, et al.. (2022). Cryo‐EM structure of the human NKCC1 transporter reveals mechanisms of ion coupling and specificity. The EMBO Journal. 41(23). e110169–e110169. 20 indexed citations
11.
Pesce, Francesco, et al.. (2021). Force Field Effects in Simulations of Flexible Peptides with Varying Polyproline II Propensity. Journal of Chemical Theory and Computation. 17(10). 6634–6646. 34 indexed citations
12.
Cagiada, Matteo, Kristoffer E. Johansson, Sofie V. Nielsen, et al.. (2021). Understanding the Origins of Loss of Protein Function by Analyzing the Effects of Thousands of Variants on Activity and Abundance. Molecular Biology and Evolution. 38(8). 3235–3246. 67 indexed citations
13.
Martin, Erik, F. Emil Thomasen, Nicole M. Milkovic, et al.. (2021). Interplay of folded domains and the disordered low-complexity domain in mediating hnRNPA1 phase separation. Nucleic Acids Research. 49(5). 2931–2945. 108 indexed citations
14.
Bottaro, Sandro, Giovanni Bussi, & Kresten Lindorff‐Larsen. (2021). Conformational Ensembles of Noncoding Elements in the SARS-CoV-2 Genome from Molecular Dynamics Simulations. Journal of the American Chemical Society. 143(22). 8333–8343. 17 indexed citations
15.
Henriques, João & Kresten Lindorff‐Larsen. (2020). Protein Dynamics Enables Phosphorylation of Buried Residues in Cdk2/Cyclin-A-Bound p27. Biophysical Journal. 119(10). 2010–2018. 21 indexed citations
16.
Lückmann, Michael, Mette Trauelsen, João M. Martins, et al.. (2019). Molecular dynamics-guided discovery of an ago-allosteric modulator for GPR40/FFAR1. Proceedings of the National Academy of Sciences. 116(14). 7123–7128. 39 indexed citations
17.
Bottaro, Sandro & Kresten Lindorff‐Larsen. (2018). Biophysical experiments and biomolecular simulations: A perfect match?. Science. 361(6400). 355–360. 202 indexed citations
18.
Bottaro, Sandro, Giovanni Bussi, Scott D. Kennedy, Douglas H. Turner, & Kresten Lindorff‐Larsen. (2018). Conformational ensembles of RNA oligonucleotides from integrating NMR and molecular simulations. Science Advances. 4(5). eaar8521–eaar8521. 92 indexed citations
19.
Christensen, Anders S., Mikael Borg, Wouter Boomsma, et al.. (2013). Protein Structure Validation and Refinement Using Amide Proton Chemical Shifts Derived from Quantum Mechanics. PLoS ONE. 8(12). e84123–e84123. 19 indexed citations
20.
Piana, Stefano, et al.. (2010). Computational Design and Experimental Testing of the Fastest-Folding β-Sheet Protein. Journal of Molecular Biology. 405(1). 43–48. 93 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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