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Biology and Biochemistry

D-Index
54
Citations
13762
World Ranking
15452
National Ranking
286

Overview

David Gfeller is affiliated with the University of Lausanne in Switzerland. Their research predominantly spans the fields of Biochemistry, Genetics and Molecular Biology, Immunology and Microbiology, and Medicine. Within these broader fields, their work focuses on molecular biology, immunology, oncology, cancer research, and radiology, nuclear medicine, and imaging.

The main topics addressed in their research include immunotherapy and immune responses, vaccines and immunoinformatics approaches, T-cell and B-cell immunology, single-cell and spatial transcriptomics, CAR-T cell therapy research, cancer immunotherapy and biomarkers, and monoclonal and polyclonal antibodies research.

David Gfeller has been involved in publications across several venues, with frequent contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Science Advances
  • Nature Communications
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Biotechnology

Some of their recent papers include:

  • Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction, 2020, Cell
  • Tumor-specific cytolytic CD4 T cells mediate immunity against human cancer, 2021, Science Advances
  • Prediction of neo-epitope immunogenicity reveals TCR recognition determinants and provides insight into immunoediting, 2021, Cell Reports Medicine
  • Nongenetic Evolution Drives Lung Adenocarcinoma Spatial Heterogeneity and Progression, 2021, Cancer Discovery
  • Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes, 2023, Immunity

Their frequent coauthors include:

  • Julien Racle
  • Alexandre Harari
  • George Coukos
  • Julien Schmidt
  • Giancarlo Croce

Best Publications

  • Intratumoral Tcf1+PD-1+CD8+ T Cells with Stem-like Properties Promote Tumor Control in Response to Vaccination and Checkpoint Blockade Immunotherapy.

    Imran Siddiqui;Karin Schaeuble;Vijaykumar Chennupati;Silvia A. Fuertes Marraco

  • Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data.

    Julien Racle;Julien Racle;Kaat de Jonge;Petra Baumgaertner;Daniel E Speiser

  • SwissTargetPrediction: A web server for target prediction of bioactive small molecules

    David Gfeller;Aurélien Grosdidier;Matthias Wirth;Antoine Daina

  • Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction

    Daniel K. Wells;Marit M. van Buuren;Kristen K. Dang;Vanessa M. Hubbard-Lucey

  • Shaping the interaction landscape of bioactive molecules.

    David Gfeller;Olivier Michielin;Vincent Zoete

  • Personalized cancer vaccine effectively mobilizes antitumor T cell immunity in ovarian cancer

    Janos L. Tanyi;Sara Bobisse;Eran Ophir;Sandra Tuyaerts

  • EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data.

    Julien Racle;David Gfeller;David Gfeller

  • Tumor-specific cytolytic CD4 T cells mediate immunity against human cancer

    Amélie Cachot;Mariia Bilous;Mariia Bilous;Yen-Cheng Liu;Xiaokang Li

  • Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity.

    Michal Bassani-Sternberg;Chloé Chong;Chloé Chong;Philippe Guillaume;Philippe Guillaume;Marthe Solleder;Marthe Solleder

  • Robust prediction of HLA class II epitopes by deep motif deconvolution of immunopeptidomes.

    Julien Racle;Justine Michaux;Georg Alexander Rockinger;Marion Arnaud

  • Functional complexes between YAP2 and ZO-2 are PDZ domain-dependent, and regulate YAP2 nuclear localization and signalling

    Tsutomu Oka;Eline Remue;Kris Meerschaert;Berlinda Vanloo

  • Bayesian Modeling of the Yeast SH3 Domain Interactome Predicts Spatiotemporal Dynamics of Endocytosis Proteins

    Raffi Tonikian;Xiaofeng Xin;Christopher P. Toret;David Gfeller

  • Tumour-derived PGD2 and NKp30-B7H6 engagement drives an immunosuppressive ILC2-MDSC axis

    Sara Trabanelli;Mathieu F. Chevalier;Amaia Martinez-Usatorre;Alejandra Gomez-Cadena

  • High-throughput and Sensitive Immunopeptidomics Platform Reveals Profound Interferonγ-Mediated Remodeling of the Human Leukocyte Antigen (HLA) Ligandome.

    Chloe Chong;Fabio Marino;Fabio Marino;HuiSong Pak;HuiSong Pak;Julien Racle;Julien Racle;Julien Racle

  • Complex network analysis of free-energy landscapes.

    D. Gfeller;P. De Los Rios;A. Caflisch;F. Rao

  • ILC2-modulated T cell-to-MDSC balance is associated with bladder cancer recurrence

    Mathieu F. Chevalier;Sara Trabanelli;Julien Racle;Julien Racle;Bérengère Salomé

  • The Length Distribution and Multiple Specificity of Naturally Presented HLA-I Ligands.

    David Gfeller;David Gfeller;Philippe Guillaume;Justine Michaux;Hui-Song Pak

  • Predicting Antigen Presentation-What Could We Learn From a Million Peptides?

    David Gfeller;Michal Bassani-Sternberg

  • Finding instabilities in the community structure of complex networks.

    David Gfeller;Jean-Cédric Chappelier;Paolo De Los Rios

  • Spectral coarse graining of complex networks

    David Gfeller;Paolo De Los Rios

Frequent Co-Authors

George Coukos
George Coukos Cornell University
Michal Bassani-Sternberg
Michal Bassani-Sternberg Ludwig Cancer Research
Philippe Guillaume
Philippe Guillaume University of Lausanne
Olivier Michielin
Olivier Michielin University of Lausanne
Daniel E. Speiser
Daniel E. Speiser University of Lausanne
Alexandre Harari
Alexandre Harari University of Lausanne
Lana E. Kandalaft
Lana E. Kandalaft Ludwig Cancer Research
Sachdev S. Sidhu
Sachdev S. Sidhu University of Waterloo
Gary D. Bader
Gary D. Bader University of Toronto
Brian Stevenson
Brian Stevenson University of Kentucky

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