World's Best Scientists 2026 revealed!
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Immunology
Denmark
2023

D-Index & Metrics

Immunology

D-Index
83
Citations
27222
World Ranking
1433
National Ranking
13

Søren Buus 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 Søren Buus 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: 344 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Søren Buus 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 Søren Buus 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: 83 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Immunology in Denmark Leader Award
  • 2022 - Research.com Immunology in Denmark Leader Award

Overview

Søren Buus is affiliated with the University of Copenhagen in Denmark and works primarily in the fields of Medicine, Immunology and Microbiology, and Biochemistry, Genetics and Molecular Biology. Their research spans several specific subfields, including Immunology, Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health, and Radiology, Nuclear Medicine and Imaging.

The scientist's work focuses on various topics related to vaccines and immunoinformatics approaches, SARS-CoV-2 and COVID-19 research, monoclonal and polyclonal antibodies research, immune cell function and interaction, immunotherapy and immune responses, mosquito-borne diseases and control, and viral infections and vectors.

Among recent publications, the following papers capture aspects of Søren Buus's research contributions:

  • Capsid-like particles decorated with the SARS-CoV-2 receptor-binding domain elicit strong virus neutralization activity, 2021, Nature Communications
  • Immunoinformatics: Predicting Peptide-MHC Binding, 2020, Annual Review of Biomedical Data Science
  • T Cell Responses Induced by Attenuated Flavivirus Vaccination Are Specific and Show Limited Cross-Reactivity with Other Flavivirus Species, 2020, Journal of Virology
  • Peptides Derived From Insulin Granule Proteins Are Targeted by CD8+ T Cells Across MHC Class I Restrictions in Humans and NOD Mice, 2020, Diabetes
  • Integral Use of Immunopeptidomics and Immunoinformatics for the Characterization of Antigen Presentation and Rational Identification of BoLA-DR-Presented Peptides and Epitopes, 2021, The Journal of Immunology

Frequent co-authors collaborating with Søren Buus include Morten Nielsen, Thomas Østerbye, Anette Stryhn, Emil Bach, and Jan Pravsgaard Christensen.

The scientist has published extensively in several venues, with the highest number of publications in bioRxiv (Cold Spring Harbor Laboratory), followed by journals such as Frontiers in Immunology, The Journal of Immunology, Diabetes, and Vaccines.

Best Publications

  • Reliable prediction of T-cell epitopes using neural networks with novel sequence representations

    Morten Nielsen;Claus Lundegaard;Peder Worning;Sanne Lise Lauemøller

  • Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction

    Mette V Larsen;Claus Lundegaard;Kasper Lamberth;Soren Buus

  • NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11

    Claus Lundegaard;Kasper Lamberth;Mikkel Harndahl;Søren Buus

  • The relation between major histocompatibility complex (MHC) restriction and the capacity of Ia to bind immunogenic peptides.

    Soren Buus;Alessandro Sette;Sonia M. Colon;Craig Miles

  • NetMHCpan, a method for MHC class I binding prediction beyond humans

    Ilka Hoof;Bjoern Peters;John Sidney;Lasse Eggers Pedersen

  • Improved methods for predicting peptide binding affinity to MHC class II molecules

    Kamilla Kjærgaard Jensen;Massimo Andreatta;Paolo Marcatili;Søren Buus

  • NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequence.

    Morten A. Nielsen;Claus Lundegaard;Thomas H. Blicher;Kasper Lamberth

  • Isolation and characterization of antigen-la complexes involved in T cell recognition

    Søren Buus;Alessandro Sette;Sonia M. Colon;Diane M. Jenis

  • Structural characteristics of an antigen required for its interaction with Ia and recognition by T cells

    Alessandro Sette;Søren Buus;Sonia Colon;John A. Smith

  • Drug hypersensitivity caused by alteration of the MHC-presented self-peptide repertoire

    David A. Ostrov;Barry J. Grant;Yuri A. Pompeu;John Sidney

  • Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach

    S. Buus;S.L. Lauemoller;Peder Worning;Can Kesmir

  • Immune epitope database analysis resource (IEDB-AR).

    Qing Zhang;Peng Wang;Yohan Kim;Pernille Haste-Andersen

  • Prediction of major histocompatibility complex binding regions of protein antigens by sequence pattern analysis

    Alessandro Sette;Soren Buus;Ettore Appella;John A. Smith

  • An integrative approach to CTL epitope prediction: a combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions.

    Mette Voldby Larsen;Claus Lundegaard;Kasper Lamberth;Søren Buus

  • Immunological self, nonself discrimination.

    Jean-Gerard Guillet;Ming-Zong Lai;Thomas J. Briner;Soren Buus

  • A community resource benchmarking predictions of peptide binding to MHC-I molecules.

    Bjoern Peters;Huynh-Hoa Bui;Sune Frankild;Morten Nielsen

  • Interaction between a "processed" ovalbumin peptide and Ia molecules

    Soren Buus;Sonia Colon;Clark Smith;John H. Freed

  • Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach

    Morten Nielsen;Claus Lundegaard;Peder Worning;Christina Sylvester Hvid

  • Definition of supertypes for HLA molecules using clustering of specificity matrices.

    Ole Lund;Morten Nielsen;Can Kesmir;Can Kesmir;Anders Gorm Petersen

  • Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan.

    Morten Nielsen;Claus Lundegaard;Thomas Blicher;Bjoern Peters

  • Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification

    Massimo Andreatta;Edita Karosiene;Michael Rasmussen;Anette Stryhn

Frequent Co-Authors

Morten Nielsen
Morten Nielsen Technical University of Denmark
Philip J. R. Goulder
Philip J. R. Goulder University of Oxford
Alessandro Sette
Alessandro Sette La Jolla Institute For Allergy & Immunology
Ole Lund
Ole Lund Danish National Genome Center
Mogens H. Claesson
Mogens H. Claesson University of Copenhagen
Bruce D. Walker
Bruce D. Walker Harvard University
Howard M. Grey
Howard M. Grey La Jolla Institute For Allergy & Immunology
Søren Brunak
Søren Brunak University of Copenhagen
Bjoern Peters
Bjoern Peters La Jolla Institute For Allergy & Immunology
Thumbi Ndung'u
Thumbi Ndung'u University of KwaZulu-Natal

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