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Engineering and Technology

D-Index
36
Citations
8209
World Ranking
8571
National Ranking
123

Overview

Lars Malmström is affiliated with the University of Zurich in Switzerland. Their research spans fields including Biochemistry, Genetics and Molecular Biology, as well as Medicine. Within these broader areas, Malmström's work focuses on subfields such as Molecular Biology, Public Health, Environmental and Occupational Health, Spectroscopy, Infectious Diseases, and Clinical Biochemistry.

The scientist's publication record includes contributions to several prominent venues. Frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Zenodo (CERN European Organization for Nuclear Research), Frontiers in Immunology, and PLoS Computational Biology.

Recent publications by Lars Malmström, listing full titles and publication details, include:

  • "Macromolecular modeling and design in Rosetta: recent methods and frameworks," 2020, Nature Methods
  • "Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis," 2023, Nature Communications
  • "Spike-Dependent Opsonization Indicates Both Dose-Dependent Inhibition of Phagocytosis and That Non-Neutralizing Antibodies Can Confer Protection to SARS-CoV-2," 2022, Frontiers in Immunology
  • "Cerebrospinal fluid proteome maps detect pathogen-specific host response patterns in meningitis," 2021, eLife
  • "Proteogenomic Workflow Reveals Molecular Phenotypes Related to Breast Cancer Mammographic Appearance," 2021, Journal of Proteome Research

The research topics covered through Malmström's work include:

  • Streptococcal Infections and Treatments
  • Advanced Proteomics Techniques and Applications
  • Metabolomics and Mass Spectrometry Studies
  • Mass Spectrometry Techniques and Applications
  • Neonatal and Maternal Infections
  • Bacterial Identification and Susceptibility Testing
  • Antimicrobial Resistance in Staphylococcus

The scientist frequently collaborates with a range of coauthors including Johan Malmström, Hamed Khakzad, Lotta Happonen, Di Tang, and Tirthankar Mohanty. The number of joint publications with these collaborators varies, reflecting ongoing research partnerships.

Best Publications

  • Macromolecular modeling and design in Rosetta: recent methods and frameworks

    Julia Koehler Leman;Brian D. Weitzner;Brian D. Weitzner;Steven M. Lewis;Steven M. Lewis;Jared Adolf-Bryfogle

  • OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data

    Hannes L Röst;George Rosenberger;Pedro Navarro;Ludovic Gillet

  • OpenMS: a flexible open-source software platform for mass spectrometry data analysis

    Hannes L Röst;Hannes L Röst;Timo Sachsenberg;Stephan Aiche;Chris Bielow

  • An objective comparison of cell-tracking algorithms

    Vladimír Ulman;Martin Maška;Klas E G Magnusson;Olaf Ronneberger

  • Structural Probing of a Protein Phosphatase 2A Network by Chemical Cross-Linking and Mass Spectrometry

    Franz Herzog;Abdullah Kahraman;Daniel Boehringer;Raymond Mak

  • Automated prediction of CASP-5 structures using the Robetta server.

    Dylan Chivian;David E. Kim;Lars Malmström;Philip Bradley

  • De Novo Prediction of Three-dimensional Structures for Major Protein Families

    Richard Bonneau;Charlie E.M Strauss;Carol A Rohl;Dylan Chivian

  • Assigning Function to Yeast Proteins by Integration of Technologies

    Tony R. Hazbun;Lars Malmström;Scott Anderson;Beth J. Graczyk

  • Prediction of CASP6 structures using automated robetta protocols

    Dylan Chivian;David E. Kim;Lars Malmström;Jack Schonbrun

  • TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics

    Hannes L Röst;Yansheng Liu;Giuseppe D'Agostino;Matteo Zanella

  • Cross-Link Guided Molecular Modeling with ROSETTA

    Abdullah Kahraman;Franz Herzog;Alexander Leitner;George Rosenberger

  • An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics

    Hendrik Weisser;Sven Nahnsen;Jonas Grossmann;Lars Nilse

  • pyOpenMS: a Python-based interface to the OpenMS mass-spectrometry algorithm library.

    Hannes L. Röst;Hannes L. Röst;Uwe Schmitt;Ruedi Aebersold;Ruedi Aebersold;Lars Malmström

  • Xwalk: computing and visualizing distances in cross-linking experiments

    Abdullah Kahraman;Lars Malmström;Ruedi Aebersold

  • openBIS: a flexible framework for managing and analyzing complex data in biology research

    Angela Bauch;Izabela Adamczyk;Piotr Buczek;Franz-Josef Elmer;Franz-Josef Elmer

  • Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS

    George Rosenberger;George Rosenberger;Yansheng Liu;Hannes L Röst;Hannes L Röst;Christina Ludwig;Christina Ludwig

  • FAIRDOMHub: a repository and collaboration environment for sharing systems biology research

    Katherine Wolstencroft;Olga Krebs;Jacky L. Snoep;Jacky L. Snoep;Natalie J. Stanford

  • Automated prediction of domain boundaries in CASP6 targets using Ginzu and RosettaDOM

    David E. Kim;Dylan Chivian;Lars Malmström;David Baker

  • A Computational Tool to Detect and Avoid Redundancy in Selected Reaction Monitoring

    Hannes Luc Rost;Hannes Luc Rost;Lars Malmstrom;Ruedi Aebersold;Ruedi Aebersold

  • DIANA - algorithmic improvements for analysis of data-independent acquisition MS data

    Johan Teleman;Hannes L Röst;George Rosenberger;Uwe Schmitt

Frequent Co-Authors

David Baker
David Baker University of Washington
György Marko-Varga
György Marko-Varga Lund University
Richard Bonneau
Richard Bonneau New York University
Anders Malmström
Anders Malmström Lund University
David R. Goodlett
David R. Goodlett University of Victoria
Trisha N. Davis
Trisha N. Davis University of Washington
Lars Björck
Lars Björck Lund University
Jacky L. Snoep
Jacky L. Snoep Stellenbosch University

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