World's Best Scientists 2026 revealed!
Michal Bassani-Sternberg

Michal Bassani-Sternberg

D-Index & Metrics

Immunology

D-Index
45
Citations
7411
World Ranking
4710
National Ranking
78

Michal Bassani-Sternberg publication distribution in Immunology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Immunology in 2026. The highlighted bar marks where Michal Bassani-Sternberg sits on this spectrum.

62–71 publications: 9 scientists 72–81 publications: 23 scientists 82–91 publications: 40 scientists 92–101 publications: 72 scientists 102–111 publications: 86 scientists 112–121 publications: 108 scientists 122–131 publications: 150 scientists 132–141 publications: 160 scientists 142–151 publications: 159 scientists 152–161 publications: 189 scientists 162–171 publications: 166 scientists 172–181 publications: 181 scientists 182–191 publications: 188 scientists 192–201 publications: 187 scientists 202–211 publications: 178 scientists 212–221 publications: 158 scientists 222–231 publications: 168 scientists 232–241 publications: 159 scientists 242–251 publications: 160 scientists 252–261 publications: 148 scientists 262–271 publications: 116 scientists 272–281 publications: 125 scientists 282–291 publications: 115 scientists 292–301 publications: 111 scientists 302–311 publications: 95 scientists 312–321 publications: 97 scientists 322–331 publications: 97 scientists 332–341 publications: 99 scientists 342–351 publications: 96 scientists 352–361 publications: 68 scientists 362–371 publications: 76 scientists 372–381 publications: 71 scientists 382–391 publications: 71 scientists 392–401 publications: 62 scientists 402–411 publications: 54 scientists 412–421 publications: 41 scientists 422–431 publications: 63 scientists 432–441 publications: 53 scientists 442–451 publications: 31 scientists 452–461 publications: 42 scientists 462–471 publications: 40 scientists 472–481 publications: 29 scientists 482–491 publications: 34 scientists 492–501 publications: 30 scientists 502–511 publications: 23 scientists 512–521 publications: 41 scientists 522–531 publications: 29 scientists 532–541 publications: 28 scientists 542–551 publications: 16 scientists 552–561 publications: 18 scientists 562–571 publications: 18 scientists 572–581 publications: 17 scientists 582–591 publications: 17 scientists 592–601 publications: 17 scientists 602–611 publications: 19 scientists 612–621 publications: 13 scientists 622–631 publications: 12 scientists 632–641 publications: 11 scientists 642–651 publications: 16 scientists 652–661 publications: 9 scientists 662–671 publications: 5 scientists 672–681 publications: 13 scientists 682–691 publications: 12 scientists 692–701 publications: 6 scientists 702–711 publications: 6 scientists 712–721 publications: 9 scientists 722–731 publications: 9 scientists 732–741 publications: 6 scientists 742–751 publications: 11 scientists 752–761 publications: 10 scientists 762–771 publications: 7 scientists 772–781 publications: 12 scientists 782–791 publications: 7 scientists 792–801 publications: 5 scientists 802–806 publications: 1 scientists 807+ publications: 100 scientists
62 publications 807+

This scientist: 130 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 807 publications or more.

Michal Bassani-Sternberg D-index placement in Immunology in 2026

The chart shows the D-index (discipline H-index) distribution of Immunology scientists ranked by Research.com in 2026. The highlighted bar marks where Michal Bassani-Sternberg sits on this spectrum.

40–41 D-Index: 28 scientists 42–43 D-Index: 91 scientists 44–45 D-Index: 157 scientists 46–47 D-Index: 192 scientists 48–49 D-Index: 175 scientists 50–51 D-Index: 188 scientists 52–53 D-Index: 177 scientists 54–55 D-Index: 155 scientists 56–57 D-Index: 194 scientists 58–59 D-Index: 201 scientists 60–61 D-Index: 197 scientists 62–63 D-Index: 201 scientists 64–65 D-Index: 173 scientists 66–67 D-Index: 167 scientists 68–69 D-Index: 172 scientists 70–71 D-Index: 199 scientists 72–73 D-Index: 184 scientists 74–75 D-Index: 133 scientists 76–77 D-Index: 162 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 125 scientists 84–85 D-Index: 121 scientists 86–87 D-Index: 102 scientists 88–89 D-Index: 96 scientists 90–91 D-Index: 75 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 74 scientists 96–97 D-Index: 66 scientists 98–99 D-Index: 68 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 60 scientists 104–105 D-Index: 54 scientists 106–107 D-Index: 36 scientists 108–109 D-Index: 23 scientists 110–111 D-Index: 52 scientists 112–113 D-Index: 41 scientists 114–115 D-Index: 34 scientists 116–117 D-Index: 25 scientists 118–119 D-Index: 28 scientists 120–121 D-Index: 11 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 19 scientists 128–129 D-Index: 20 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 17 scientists 134–135 D-Index: 14 scientists 136–137 D-Index: 15 scientists 138–139 D-Index: 9 scientists 140–141 D-Index: 11 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 9 scientists 146–147 D-Index: 7 scientists 148–149 D-Index: 7 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 5 scientists 154–155 D-Index: 8 scientists 156 D-Index: 6 scientists 157+ D-Index: 96 scientists
40 D-Index 157+

This scientist: 45 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 157 D-Index or more.

Best Publications

  • Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry

    Michal Bassani-Sternberg;Eva Bräunlein;Richard Klar;Thomas Engleitner;Thomas Engleitner

  • Mass Spectrometry of Human Leukocyte Antigen Class I Peptidomes Reveals Strong Effects of Protein Abundance and Turnover on Antigen Presentation

    Michal Bassani-Sternberg;Sune Pletscher-Frankild;Lars Juhl Jensen;Matthias Mann

  • Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes.

    Chloe Chong;Chloe Chong;Markus Müller;HuiSong Pak;HuiSong Pak;Dermot Harnett

  • 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

  • Antitumour dendritic cell vaccination in a priming and boosting approach

    Alexandre Harari;Alexandre Harari;Michele Graciotti;Michele Graciotti;Michal Bassani-Sternberg;Michal Bassani-Sternberg;Lana E Kandalaft;Lana E Kandalaft

  • Identification of tumor antigens with immunopeptidomics.

    Chloe Chong;Chloe Chong;George Coukos;George Coukos;Michal Bassani-Sternberg;Michal Bassani-Sternberg

  • 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

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

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

  • Tryptophan depletion results in tryptophan-to-phenylalanine substitutants

    Unknown

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

    David Gfeller;Michal Bassani-Sternberg

  • Prediction of neo-epitope immunogenicity reveals TCR recognition determinants and provides insight into immunoediting.

    Julien Schmidt;Angela R. Smith;Morgane Magnin;Julien Racle;Julien Racle

  • Multi-level Proteomics Identifies CT45 as a Chemosensitivity Mediator and Immunotherapy Target in Ovarian Cancer

    Fabian Coscia;Fabian Coscia;Ernst Lengyel;Jaikumar Duraiswamy;Bradley Ashcroft

  • Mass spectrometry-based antigen discovery for cancer immunotherapy

    Michal Bassani-Sternberg;George Coukos

  • Unsupervised HLA Peptidome Deconvolution Improves Ligand Prediction Accuracy and Predicts Cooperative Effects in Peptide-HLA Interactions.

    Michal Bassani-Sternberg;David Gfeller

  • The SysteMHC Atlas project.

    Wenguang Shao;Patrick G.A. Pedrioli;Witold Wolski;Cristian Scurtescu

  • Soluble plasma HLA peptidome as a potential source for cancer biomarkers

    Michal Bassani-Sternberg;Eilon Barnea;Ilan Beer;Irit Avivi

  • Immunopeptidomics of colorectal cancer organoids reveals a sparse HLA class I neoantigen landscape and no increase in neoantigens with interferon or MEK-inhibitor treatment

    Alice Newey;Beatrice Griffiths;Justine Michaux;Hui Song Pak

  • Cell-autonomous inflammation of BRCA1-deficient ovarian cancers drives both tumor-intrinsic immunoreactivity and immune resistance via STING.

    Marine Bruand;David Barras;David Barras;Marco Mina;Marco Mina;Eleonora Ghisoni

  • Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes

    Unknown

Frequent Co-Authors

George Coukos
George Coukos Cornell University
David Gfeller
David Gfeller University of Lausanne
Lana E. Kandalaft
Lana E. Kandalaft Ludwig Cancer Research
Alexandre Harari
Alexandre Harari University of Lausanne
Brian Stevenson
Brian Stevenson University of Kentucky
Matthias Mann
Matthias Mann Max Planck Institute of Biochemistry
Arie Admon
Arie Admon Technion – Israel Institute of Technology
Philippe Guillaume
Philippe Guillaume University of Lausanne
Daniel E. Speiser
Daniel E. Speiser University of Lausanne
Ioannis Xenarios
Ioannis Xenarios University of Lausanne

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