Michel A. Cuendet

5.8k total citations · 2 hit papers
54 papers, 4.0k citations indexed

About

Michel A. Cuendet is a scholar working on Molecular Biology, Oncology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michel A. Cuendet has authored 54 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michel A. Cuendet's work include Protein Structure and Dynamics (19 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Michel A. Cuendet is often cited by papers focused on Protein Structure and Dynamics (19 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Michel A. Cuendet collaborates with scholars based in Switzerland, United States and Italy. Michel A. Cuendet's co-authors include Olivier Michielin, Vincent Zoete, Aurélien Grosdidier, Pär Bjelkmar, Berk Hess, Erik Lindahl, Per Larsson, Mark E. Tuckerman, Wilfred F. van Gunsteren and Harel Weinstein and has published in prestigious journals such as Nature, Chemical Reviews and Physical Review Letters.

In The Last Decade

Michel A. Cuendet

51 papers receiving 3.9k citations

Hit Papers

SwissParam: A fast force field generation tool for small ... 2010 2026 2015 2020 2011 2010 500 1000 1.5k
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. SwissParam: A fast force field generation tool for small organic molecules
    2011 1.7k citations Vincent Zoete, Michel A. Cuendet et al. profile →
  2. Implementation of the CHARMM Force Field in GROMACS: Analysis of Protein Stability Effects from Correction Maps, Virtual Interaction Sites, and Water Models
    2010 982 citations Pär Bjelkmar, Per Larsson et al. Journal of Chemical Theory and Computation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel A. Cuendet Switzerland 22 2.1k 639 577 490 383 54 4.0k
Duncan Poole United States 4 3.0k 1.5× 534 0.8× 431 0.7× 659 1.3× 307 0.8× 5 4.3k
Karel Berka Czechia 34 2.8k 1.3× 482 0.8× 488 0.8× 757 1.5× 356 0.9× 107 4.6k
Andreas F. Tillack United States 13 2.1k 1.0× 893 1.4× 749 1.3× 527 1.1× 275 0.7× 30 4.7k
Goran Krilov United States 19 2.1k 1.0× 948 1.5× 771 1.3× 489 1.0× 544 1.4× 38 3.9k
Michał Rostkowski Poland 12 3.6k 1.7× 748 1.2× 628 1.1× 777 1.6× 200 0.5× 25 5.3k
David S. Cerutti United States 16 2.3k 1.1× 820 1.3× 656 1.1× 681 1.4× 393 1.0× 28 3.7k
Marco De Vivo Italy 35 2.7k 1.3× 672 1.1× 634 1.1× 710 1.4× 287 0.7× 116 4.2k
Jérôme Baudry United States 32 2.1k 1.0× 551 0.9× 339 0.6× 628 1.3× 642 1.7× 82 4.0k
Zoe Cournia Greece 28 2.1k 1.0× 968 1.5× 460 0.8× 510 1.0× 262 0.7× 65 3.2k
Rong Yang China 13 2.9k 1.4× 419 0.7× 403 0.7× 836 1.7× 546 1.4× 35 4.2k

Countries citing papers authored by Michel A. Cuendet

Since Specialization
Citations

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

Fields of papers citing papers by Michel A. Cuendet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel A. Cuendet. 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 Michel A. Cuendet. The network helps show where Michel A. Cuendet may publish in the future.

Co-authorship network of co-authors of Michel A. Cuendet

This figure shows the co-authorship network connecting the top 25 collaborators of Michel A. Cuendet. A scholar is included among the top collaborators of Michel A. Cuendet 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 Michel A. Cuendet. Michel A. Cuendet 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.
Schiappacasse, Luis, Jean Bourhis, John O. Prior, et al.. (2025). The value of AI for assessing longitudinal brain metastases treatment response. Neuro-Oncology Advances. 7(1). vdae216–vdae216.
2.
Graham, Simon, et al.. (2024). HoverFast: an accurate, high-throughput, clinicallydeployable nuclear segmentation tool for brightfield digital pathologyimages. The Journal of Open Source Software. 9(101). 7022–7022. 1 indexed citations
3.
Cuendet, Michel A., Ekaterina D. Kots, Trilce Estrada, et al.. (2023). Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables. 1–11. 1 indexed citations
4.
Courlet, Perrine, Daniel Abler, Monia Guidi, et al.. (2023). Modeling tumor size dynamics based on real‐world electronic health records and image data in advanced melanoma patients receiving immunotherapy. CPT Pharmacometrics & Systems Pharmacology. 12(8). 1170–1181. 7 indexed citations
5.
6.
Abler, Daniel, Perrine Courlet, Roberto Gatta, et al.. (2023). Semiautomated Pipeline to Quantify Tumor Evolution From Real-World Positron Emission Tomography/Computed Tomography Imaging. JCO Clinical Cancer Informatics. 7(7). e2200126–e2200126. 2 indexed citations
7.
Cuendet, Michel A., Roberto Gatta, Alexandre Wicky, et al.. (2022). A differential process mining analysis of COVID-19 management for cancer patients. Frontiers in Oncology. 12. 1043675–1043675. 3 indexed citations
8.
9.
Froelicher, David, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, et al.. (2021). Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption. Nature Communications. 12(1). 5910–5910. 100 indexed citations
10.
Raisaro, Jean Louis, Juan Ramón Troncoso-Pastoriza, Sylvain Pradervand, et al.. (2020). SPHN/PHRT – MedCo in Action: Empowering the Swiss Molecular Tumor Board with Privacy-Preserving and Real-Time Patient Discovery. Studies in health technology and informatics. 270. 1161–1162. 1 indexed citations
11.
Özdemir, Berna C., Camille L. Gérard, Alexandre Wicky, et al.. (2020). 7P Comparison of the clinical utility of two different size next generation sequencing (NGS) gene panels for solid tumours. Annals of Oncology. 31. S1219–S1219. 1 indexed citations
12.
Liu, Yang, Michel A. Cuendet, Laurence Goffin, et al.. (2019). CD8 Binding of MHC-Peptide Complexes in cis or trans Regulates CD8+ T-cell Responses. Journal of Molecular Biology. 431(24). 4941–4958. 8 indexed citations
13.
Gotfryd, Kamil, et al.. (2018). Substrate-modulated unwinding of transmembrane helices in the NSS transporter LeuT. Science Advances. 4(5). eaar6179–eaar6179. 45 indexed citations
14.
Doktorova, Milka, Frederick A. Heberle, Richard L. Kingston, et al.. (2017). Cholesterol Promotes Protein Binding by Affecting Membrane Electrostatics and Solvation Properties. Biophysical Journal. 113(9). 2004–2015. 35 indexed citations
15.
Cuendet, Michel A., Harel Weinstein, & Michael V. Levine. (2017). The Allostery Landscape: Quantifying Thermodynamic Couplings in Biomolecular Systems. Biophysical Journal. 112(3). 354a–354a.
16.
Levine, Michael V., Michel A. Cuendet, Asghar M. Razavi, George Khelashvili, & Harel Weinstein. (2017). Thermodynamic Coupling Function Analysis of Allosteric Mechanisms in the Human Dopamine Transporter. Biophysical Journal. 114(1). 10–14. 13 indexed citations
17.
Akyuz, Nurunisa, Elka R. Georgieva, Zhou Zhou, et al.. (2015). Transport domain unlocking sets the uptake rate of an aspartate transporter. Nature. 518(7537). 68–73. 130 indexed citations
18.
Cuendet, Michel A. & Mark E. Tuckerman. (2014). Free Energy Reconstruction from Metadynamics or Adiabatic Free Energy Dynamics Simulations. Journal of Chemical Theory and Computation. 10(8). 2975–2986. 52 indexed citations
19.
Cuendet, Michel A., Vincent Zoete, & Olivier Michielin. (2011). How T cell receptors interact with peptide‐MHCs: A multiple steered molecular dynamics study. Proteins Structure Function and Bioinformatics. 79(11). 3007–3024. 41 indexed citations
20.
Bjelkmar, Pär, Per Larsson, Michel A. Cuendet, Berk Hess, & Erik Lindahl. (2010). Implementation of the CHARMM Force Field in GROMACS: Analysis of Protein Stability Effects from Correction Maps, Virtual Interaction Sites, and Water Models. Journal of Chemical Theory and Computation. 6(2). 459–466. 982 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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