World's Best Scientists 2026 revealed!

D-Index & Metrics

Microbiology

D-Index
61
Citations
15394
World Ranking
2971
National Ranking
223

Hans-Martin Jäck publication distribution in Microbiology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Microbiology in 2026. The highlighted bar marks where Hans-Martin Jäck sits on this spectrum.

55–64 publications: 8 scientists 65–74 publications: 29 scientists 75–84 publications: 55 scientists 85–94 publications: 112 scientists 95–104 publications: 137 scientists 105–114 publications: 190 scientists 115–124 publications: 235 scientists 125–134 publications: 234 scientists 135–144 publications: 288 scientists 145–154 publications: 264 scientists 155–164 publications: 264 scientists 165–174 publications: 253 scientists 175–184 publications: 276 scientists 185–194 publications: 190 scientists 195–204 publications: 233 scientists 205–214 publications: 207 scientists 215–224 publications: 198 scientists 225–234 publications: 155 scientists 235–244 publications: 161 scientists 245–254 publications: 160 scientists 255–264 publications: 146 scientists 265–274 publications: 139 scientists 275–284 publications: 148 scientists 285–294 publications: 115 scientists 295–304 publications: 96 scientists 305–314 publications: 88 scientists 315–324 publications: 106 scientists 325–334 publications: 65 scientists 335–344 publications: 76 scientists 345–354 publications: 64 scientists 355–364 publications: 62 scientists 365–374 publications: 65 scientists 375–384 publications: 61 scientists 385–394 publications: 34 scientists 395–404 publications: 44 scientists 405–414 publications: 36 scientists 415–424 publications: 35 scientists 425–434 publications: 29 scientists 435–444 publications: 33 scientists 445–454 publications: 34 scientists 455–464 publications: 25 scientists 465–474 publications: 26 scientists 475–484 publications: 20 scientists 485–494 publications: 19 scientists 495–504 publications: 16 scientists 505–514 publications: 17 scientists 515–524 publications: 23 scientists 525–534 publications: 14 scientists 535–544 publications: 14 scientists 545–554 publications: 18 scientists 555–564 publications: 12 scientists 565–574 publications: 7 scientists 575–584 publications: 9 scientists 585–594 publications: 9 scientists 595–604 publications: 9 scientists 605–614 publications: 7 scientists 615–624 publications: 9 scientists 625–634 publications: 7 scientists 635–644 publications: 4 scientists 645–654 publications: 5 scientists 655–664 publications: 6 scientists 665–674 publications: 7 scientists 675–678 publications: 3 scientists 679+ publications: 99 scientists
55 publications 679+

This scientist: 200 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 679 publications or more.

Hans-Martin Jäck D-index placement in Microbiology in 2026

The chart shows the D-index (discipline H-index) distribution of Microbiology scientists ranked by Research.com in 2026. The highlighted bar marks where Hans-Martin Jäck sits on this spectrum.

40 D-Index: 30 scientists 41 D-Index: 86 scientists 42 D-Index: 90 scientists 43 D-Index: 117 scientists 44 D-Index: 122 scientists 45 D-Index: 123 scientists 46 D-Index: 108 scientists 47 D-Index: 110 scientists 48 D-Index: 106 scientists 49 D-Index: 109 scientists 50 D-Index: 129 scientists 51 D-Index: 111 scientists 52 D-Index: 116 scientists 53 D-Index: 127 scientists 54 D-Index: 134 scientists 55 D-Index: 134 scientists 56 D-Index: 111 scientists 57 D-Index: 136 scientists 58 D-Index: 162 scientists 59 D-Index: 151 scientists 60 D-Index: 139 scientists 61 D-Index: 122 scientists 62 D-Index: 126 scientists 63 D-Index: 144 scientists 64 D-Index: 109 scientists 65 D-Index: 103 scientists 66 D-Index: 124 scientists 67 D-Index: 112 scientists 68 D-Index: 103 scientists 69 D-Index: 131 scientists 70 D-Index: 93 scientists 71 D-Index: 93 scientists 72 D-Index: 96 scientists 73 D-Index: 92 scientists 74 D-Index: 80 scientists 75 D-Index: 66 scientists 76 D-Index: 87 scientists 77 D-Index: 60 scientists 78 D-Index: 73 scientists 79 D-Index: 59 scientists 80 D-Index: 57 scientists 81 D-Index: 55 scientists 82 D-Index: 47 scientists 83 D-Index: 77 scientists 84 D-Index: 50 scientists 85 D-Index: 45 scientists 86 D-Index: 42 scientists 87 D-Index: 41 scientists 88 D-Index: 32 scientists 89 D-Index: 38 scientists 90 D-Index: 35 scientists 91 D-Index: 34 scientists 92 D-Index: 27 scientists 93 D-Index: 26 scientists 94 D-Index: 33 scientists 95 D-Index: 22 scientists 96 D-Index: 37 scientists 97 D-Index: 22 scientists 98 D-Index: 21 scientists 99 D-Index: 22 scientists 100 D-Index: 30 scientists 101 D-Index: 16 scientists 102 D-Index: 20 scientists 103 D-Index: 17 scientists 104 D-Index: 19 scientists 105 D-Index: 16 scientists 106 D-Index: 19 scientists 107 D-Index: 18 scientists 108 D-Index: 14 scientists 109 D-Index: 10 scientists 110 D-Index: 9 scientists 111 D-Index: 7 scientists 112 D-Index: 11 scientists 113 D-Index: 6 scientists 114 D-Index: 15 scientists 115 D-Index: 10 scientists 116 D-Index: 12 scientists 117 D-Index: 7 scientists 118 D-Index: 10 scientists 119 D-Index: 10 scientists 120 D-Index: 11 scientists 121 D-Index: 2 scientists 122 D-Index: 7 scientists 123 D-Index: 12 scientists 124 D-Index: 5 scientists 125 D-Index: 9 scientists 126 D-Index: 6 scientists 127+ D-Index: 95 scientists
40 D-Index 127+

This scientist: 61 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 127 D-Index or more.

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Enzyme

Hans-Martin Jäck mostly deals with Molecular biology, B cell, Cell biology, B-cell receptor and Flow cytometry. As part of one scientific family, he deals mainly with the area of Molecular biology, narrowing it down to issues related to the T cell, and often CD40. The various areas that Hans-Martin Jäck examines in his B cell study include Cell culture, Naive B cell and Signal transduction.

His studies in Cell biology integrate themes in fields like Histone H2A and Intratubular germ cell neoplasia, Germ line development, Gonocyte, Germ cell. The concepts of his B-cell receptor study are interwoven with issues in Stromal cell, Cellular differentiation, Golgi apparatus, Receptor and Intracellular. His study in the field of Cell sorting also crosses realms of Chain.

His most cited work include:

  • Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) (345 citations)
  • Extensive immunoglobulin production sensitizes myeloma cells for proteasome inhibition. (320 citations)
  • Guidelines for the use of flow cytometry and cell sorting in immunological studies (301 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Molecular biology, Cell biology, B cell, Antibody and Receptor. In his study, Somatic hypermutation is inextricably linked to Gene, which falls within the broad field of Molecular biology. Hans-Martin Jäck combines subjects such as Transcription factor, Immune system, Immunology, microRNA and B-cell receptor with his study of Cell biology.

Hans-Martin Jäck has included themes like breakpoint cluster region and Stromal cell in his B-cell receptor study. Hans-Martin Jäck works mostly in the field of B cell, limiting it down to topics relating to Naive B cell and, in certain cases, B-1 cell, as a part of the same area of interest. His research integrates issues of Antigen and Virology in his study of Antibody.

He most often published in these fields:

  • Molecular biology (43.38%)
  • Cell biology (32.35%)
  • B cell (24.26%)

What were the highlights of his more recent work (between 2017-2021)?

  • Antibody (20.59%)
  • Virology (10.29%)
  • Cell biology (32.35%)

In recent papers he was focusing on the following fields of study:

Hans-Martin Jäck mainly focuses on Antibody, Virology, Cell biology, Severe acute respiratory syndrome coronavirus 2 and Receptor. His Antibody research incorporates elements of Disease and Bone marrow. His Cell biology study incorporates themes from Plasma cell, Immune system and B cell.

His Plasma cell study integrates concerns from other disciplines, such as Humoral immunity and Transcriptome. His research in B cell is mostly concerned with B-cell receptor. His Receptor research includes themes of Plasma cell differentiation and Transcription factor.

Between 2017 and 2021, his most popular works were:

  • Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) (345 citations)
  • SARS-CoV-2 variants B.1.351 and P.1 escape from neutralizing antibodies. (42 citations)
  • SARS-CoV-2 variants B.1.351 and B.1.1.248: Escape from therapeutic antibodies and antibodies induced by infection and vaccination (33 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • DNA
  • Enzyme

His primary areas of study are Antibody, Vaccination, Blockade, Virology and Recombinant DNA. Plasma cell and Autoimmune disease are subfields of Antibody in which his conducts study. His Cell culture research extends to the thematically linked field of Vaccination.

His biological study spans a wide range of topics, including Neutralization and Neutralizing antibody.

Best Publications

  • The Omicron variant is highly resistant against antibody-mediated neutralization: Implications for control of the COVID-19 pandemic

    Unknown

  • Guidelines for the use of flow cytometry and cell sorting in immunological studies

    Andrea Cossarizza;Hyun Dong Chang;Andreas Radbruch;Mübeccel Akdis

  • SARS-CoV-2 variants B.1.351 and P.1 escape from neutralizing antibodies.

    Markus Hoffmann;Markus Hoffmann;Prerna Arora;Prerna Arora;Rüdiger Groß;Alina Seidel

  • Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

    Andrea Cossarizza;Hyun Dong Chang;Andreas Radbruch;Andreas Acs

  • Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)

    Unknown

  • Extensive immunoglobulin production sensitizes myeloma cells for proteasome inhibition.

    Silke Meister;Ulrich Schubert;Kirsten Neubert;Kai Herrmann

  • Serum microRNAs as powerful cancer biomarkers.

    Jürgen Wittmann;Hans-Martin Jäck

  • hUPF2 Silencing Identifies Physiologic Substrates of Mammalian Nonsense-Mediated mRNA Decay

    Jürgen Wittmann;Elly M. Hol;Hans-Martin Jäck

  • CD30 is a signal-transducing molecule that defines a subset of human activated CD45RO+ T cells.

    T M Ellis;P E Simms;D J Slivnick;H M Jäck

  • Omicron sublineage BQ.1.1 resistance to monoclonal antibodies

    Unknown

  • Circular DNA is a product of the immunoglobulin class switch rearrangement

    von Schwedler U;Jäck Hm;Wabl M

  • IgA plasma cells in vascular tissue of patients with Kawasaki syndrome.

    Anne H. Rowley;Carrie A. Eckerley;Hans Martin Jäck;Stanford T. Shulman

  • Inhibition of JAK3 and STAT6 Tyrosine Phosphorylation by the Immunosuppressive Drug Leflunomide Leads to a Block in IgG1 Production

    Karyn Siemasko;Anita S-F. Chong;Hans-Martin Jäck;Haihua Gong

  • Cloning and characterization of HUPF1, a human homolog of the Saccharomyces cerevisiae nonsense mRNA-reducing UPF1 protein.

    Steven E. Applequist;Manuel Selg;Chander Raman;Hans-Martin Jäck

  • SARS-CoV-2 variant B.1.617 is resistant to bamlanivimab and evades antibodies induced by infection and vaccination.

    Markus Hoffmann;Markus Hoffmann;Heike Hofmann-Winkler;Nadine Krüger;Amy Kempf;Amy Kempf

  • Comparable neutralisation evasion of SARS-CoV-2 omicron subvariants BA.1, BA.2, and BA.3

    Unknown

  • Stages of Germinal Center Transit Are Defined by B Cell Transcription Factor Coexpression and Relative Abundance

    Giorgio Cattoretti;Rita Shaknovich;Paula M. Smith;Hans-Martin Jäck

  • Expression of BLIMP1/PRMT5 and concurrent histone H2A/H4 arginine 3 dimethylation in fetal germ cells, CIS/IGCNU and germ cell tumors

    Dawid Eckert;Katharina Biermann;Daniel Nettersheim;Ad J M Gillis

  • Interaction of Murine Precursor B Cell Receptor with Stroma Cells Is Controlled by the Unique Tail of λ5 and Stroma Cell-Associated Heparan Sulfate

    Harald Bradl;Jürgen Wittmann;Doreen Milius;Christian Vettermann

  • Surrogate light chain-dependent selection of Ig heavy chain V regions.

    U Keyna;G B Beck-Engeser;J Jongstra;S E Applequist

  • CD30 defines a subset of activated human T cells that produce IFN-gamma and IL-5 and exhibit enhanced B cell helper activity.

    M Alzona;H M Jäck;R I Fisher;T M Ellis

  • BCL6 is critical for the development of a diverse primary B cell repertoire

    Cihangir Duy;J. Jessica Yu;Rahul Nahar;Srividya Swaminathan

  • Pre-B cell receptor-mediated cell cycle arrest in Philadelphia chromosome-positive acute lymphoblastic leukemia requires IKAROS function

    Daniel Trageser;Ilaria Iacobucci;Rahul Nahar;Cihangir Duy;Cihangir Duy

  • Induction of pre-B cell proliferation after de novo synthesis of the pre-B cell receptor.

    Jochen Hess;Annick Werner;Thomas Wirth;Fritz Melchers

Frequent Co-Authors

Matthias Wabl
Matthias Wabl University of California, San Francisco
Stefan Pöhlmann
Stefan Pöhlmann German Primate Center
Andreas Radbruch
Andreas Radbruch German Rheumatism Research Centre
Thomas H. Winkler
Thomas H. Winkler University of Erlangen-Nuremberg
Michael R. Bösl
Michael R. Bösl University of Würzburg
Michael Karas
Michael Karas Goethe University Frankfurt
Jenny Mjösberg
Jenny Mjösberg Karolinska Institute
Martin Herrmann
Martin Herrmann University of Erlangen-Nuremberg
Chander Raman
Chander Raman University of Alabama at Birmingham
Klaus Überla
Klaus Überla University of Erlangen-Nuremberg

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