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

Michal Bassani-Sternberg

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Immunology 45 4710 4356 78 74 130 7411

Michal Bassani-Sternberg publications per year

The chart shows the history of publications by Michal Bassani-Sternberg between 2003 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michal Bassani-Sternberg published across 24 years, from 2003 to 2026, averaging 7.2 papers a year. Output peaked at 41 publications in 2024. 11 of the 172 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2003 to 2026. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2024. 2003: 1 publication 2004: 1 publication 2005: 0 publications 2006: 0 publications 2007: 1 publication 2008: 0 publications 2009: 0 publications 2010: 1 publication 2011: 1 publication 2012: 1 publication 2013: 1 publication 2014: 4 publications 2015: 4 publications 2016: 4 publications 2017: 5 publications 2018: 12 publications 2019: 16 publications 2020: 9 publications 2021: 14 publications 2022: 11 publications 2023: 34 publications 2024: 41 publications 2025: 10 publications 2026: 1 publication
2003 2026

172 publications in total across all disciplines

View publications per year as a table
Michal Bassani-Sternberg: publications per year, 2003 to 2026
Year Publications
2003 1
2004 1
2005 0
2006 0
2007 1
2008 0
2009 0
2010 1
2011 1
2012 1
2013 1
2014 4
2015 4
2016 4
2017 5
2018 12
2019 16
2020 9
2021 14
2022 11
2023 34
2024 41
2025 10
2026 1
Total 172
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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.

No. of scientists
50 100 150
Bar chart with 76 bars. Horizontal axis: publications, 62–71 to 807+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 152–161 publications. The last bar groups every scientist with 807 publications or more. The highlighted bar, 122–131 publications, is where this scientist sits. 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: 69 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 scientist 807+ publications: 100 scientists
62–71 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.

View publications distribution as a table
Number of Immunology scientists by publication count, Research.com 2026 ranking edition. Based on 4,929 ranked scientists.
Publications Scientists This scientist
62–71 9
72–81 23
82–91 40
92–101 72
102–111 86
112–121 108
122–131 150 130
132–141 160
142–151 159
152–161 189
162–171 166
172–181 181
182–191 188
192–201 187
202–211 178
212–221 158
222–231 168
232–241 159
242–251 160
252–261 148
262–271 116
272–281 125
282–291 115
292–301 111
302–311 95
312–321 97
322–331 97
332–341 99
342–351 96
352–361 69
362–371 76
372–381 71
382–391 71
392–401 62
402–411 54
412–421 41
422–431 63
432–441 53
442–451 31
452–461 42
462–471 40
472–481 29
482–491 34
492–501 30
502–511 23
512–521 41
522–531 29
532–541 28
542–551 16
552–561 18
562–571 18
572–581 17
582–591 17
592–601 17
602–611 19
612–621 13
622–631 12
632–641 11
642–651 16
652–661 9
662–671 5
672–681 13
682–691 12
692–701 6
702–711 6
712–721 9
722–731 9
732–741 6
742–751 11
752–761 10
762–771 7
772–781 12
782–791 7
792–801 5
802–806 1
807+ 100
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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.

No. of scientists
50 100 150 200
Bar chart with 60 bars. Horizontal axis: D-Index, 40–41 to 157+. Vertical axis: number of scientists, 0 to 201. Most scientists, 201, have 58–59 D-Index. The last bar groups every scientist with 157 D-Index or more. The highlighted bar, 44–45 D-Index, is where this scientist sits. 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: 163 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
40–41 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.

View D-Index distribution as a table
Number of Immunology scientists by D-index, Research.com 2026 ranking edition. Based on 4,929 ranked scientists.
D-Index Scientists This scientist
40–41 28
42–43 91
44–45 157 45
46–47 192
48–49 175
50–51 188
52–53 177
54–55 155
56–57 194
58–59 201
60–61 197
62–63 201
64–65 173
66–67 167
68–69 172
70–71 199
72–73 184
74–75 133
76–77 163
78–79 127
80–81 121
82–83 125
84–85 121
86–87 102
88–89 96
90–91 75
92–93 72
94–95 74
96–97 66
98–99 68
100–101 49
102–103 60
104–105 54
106–107 36
108–109 23
110–111 52
112–113 41
114–115 34
116–117 25
118–119 28
120–121 11
122–123 20
124–125 27
126–127 19
128–129 20
130–131 16
132–133 17
134–135 14
136–137 15
138–139 9
140–141 11
142–143 9
144–145 9
146–147 7
148–149 7
150–151 7
152–153 5
154–155 8
156 6
157+ 96
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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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