World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
61
Citations
21991
World Ranking
3188
National Ranking
133

Michael Poidinger 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 Michael Poidinger 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: 181 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Michael Poidinger 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 Michael Poidinger 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: 61 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Michael Poidinger is affiliated with the Agency for Science, Technology and Research in Singapore. Their research spans multiple areas within medicine, immunology, and microbiology, with significant contributions to biochemistry, genetics, and molecular biology.

Their work covers several specific fields of study, including:

  • Immunology
  • Molecular Biology
  • Epidemiology
  • Infectious Diseases
  • Physiology

Major topics in their research focus on:

  • Tuberculosis Research and Epidemiology
  • Immunotherapy and Immune Responses
  • Mycobacterium research and diagnosis
  • Immune cells in cancer
  • Mast cells and histamine
  • Histiocytic Disorders and Treatments
  • Viral-associated cancers and disorders

Michael Poidinger has published multiple scientific papers in peer-reviewed journals. Some recent representative publications include:

  • "Circulating CD1c+ myeloid dendritic cells are potential precursors to LCH lesion CD1a+CD207+ cells," 2020, Blood Advances
  • "Role of VapBC12 Toxin-Antitoxin Locus in Cholesterol-Induced Mycobacterial Persistence," 2020, mSystems
  • "Histone acetylome-wide associations in immune cells from individuals with active Mycobacterium tuberculosis infection," 2022, Nature Microbiology
  • "miR-181a Modulation of ERK-MAPK Signaling Sustains DC-SIGN Expression and Limits Activation of Monocyte-Derived Dendritic Cells," 2020, Cell Reports
  • "Induced-Pluripotent-Stem-Cell-Derived Primitive Macrophages Provide a Platform for Modeling Tissue-Resident Macrophage Differentiation and Function," 2020, Immunity

Their frequent co-authors include:

  • Bernett Lee
  • Josephine Lum
  • Olaf Rötzschke
  • Amit Singhal
  • Dilip Kumar

Publications are often found in several notable scientific journals, including:

  • Nature Microbiology
  • Blood Advances
  • mSystems
  • Cell Reports
  • Immunity

Best Publications

  • Bystander CD8+ T cells are abundant and phenotypically distinct in human tumour infiltrates

    Yannick Simoni;Etienne Becht;Michael Fehlings;Chiew Yee Loh

  • C-Myb(+) erythro-myeloid progenitor-derived fetal monocytes give rise to adult tissue-resident macrophages

    Guillaume Hoeffel;Jinmiao Chen;Yonit Lavin;Donovan Low

  • Two distinct interstitial macrophage populations coexist across tissues in specific subtissular niches

    Svetoslav Chakarov;Hwee Ying Lim;Leonard Tan;Sheau Yng Lim

  • RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types.

    Gianni Monaco;Gianni Monaco;Gianni Monaco;Bernett Lee;Weili Xu;Seri Mustafah

  • IRF4 Transcription Factor-Dependent CD11b+ Dendritic Cells in Human and Mouse Control Mucosal IL-17 Cytokine Responses

    Andreas Schlitzer;Naomi McGovern;Pearline Teo;Teresa Zelante

  • Human Tissues Contain CD141hi Cross-Presenting Dendritic Cells with Functional Homology to Mouse CD103+ Nonlymphoid Dendritic Cells

    Muzlifah Haniffa;Muzlifah Haniffa;Amanda Shin;Venetia Bigley;Naomi McGovern

  • Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species.

    Martin Guilliams;Martin Guilliams;Charles-Antoine Dutertre;Charles-Antoine Dutertre;Charlotte L. Scott;Naomi McGovern

  • Correction: Corrigendum: A subpopulation of high IL-21-producing CD4+ T cells in Peyer’s Patches is induced by the microbiota and regulates germinal centers

    Leigh Jones;Wen Qi Ho;Sze Ying;Lakshmi Ramakrishna

  • Microbiome Influences Prenatal and Adult Microglia in a Sex-Specific Manner

    Morgane Sonia Thion;Donovan Low;Aymeric Silvin;Jinmiao Chen

  • Cistrome: an integrative platform for transcriptional regulation studies.

    Tao Liu;Jorge A Ortiz;Len Taing;Clifford A Meyer

  • Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow

    Andreas Schlitzer;V Sivakamasundari;Jinmiao Chen;Hermi Rizal Bin Sumatoh

  • Metformin as adjunct antituberculosis therapy

    Amit Singhal;Liu Jie;Pavanish Kumar;Gan Suay Hong

  • Mapping the human DC lineage through the integration of high-dimensional techniques

    Peter See;Charles-Antoine Dutertre;Charles-Antoine Dutertre;Jinmiao Chen;Patrick Günther

  • An outbreak of Japanese encephalitis in the Torres Strait, Australia, 1995.

    J N Hanna;S A Ritchie;D A Phillips;J Shield

  • Human Monocytes Undergo Functional Re-programming during Sepsis Mediated by Hypoxia-Inducible Factor-1α

    Irina N. Shalova;Jyue Yuan Lim;Manesh Chittezhath;Annelies S. Zinkernagel

  • High-dimensional analysis of the murine myeloid cell system.

    Burkhard Becher;Andreas Schlitzer;Jinmiao Chen;Florian Mair

  • Hyaluronan Receptor LYVE-1-Expressing Macrophages Maintain Arterial Tone through Hyaluronan-Mediated Regulation of Smooth Muscle Cell Collagen.

    Hwee Ying Lim;Sheau Yng Lim;Chek Kun Tan;Chung Hwee Thiam

  • Induced-Pluripotent-Stem-Cell-Derived Primitive Macrophages Provide a Platform for Modeling Tissue-Resident Macrophage Differentiation and Function.

    Kazuyuki Takata;Kazuyuki Takata;Tatsuya Kozaki;Christopher Zhe Wei Lee;Morgane Sonia Thion

  • Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline.

    Hao Chen;Mai Chan Lau;Michael Thomas Wong;Evan W. Newell

  • Parallel T-cell cloning and deep sequencing of human MAIT cells reveal stable oligoclonal TCRβ repertoire

    Marco Lepore;Artem Kalinicenko;Alessia Colone;Bhairav Paleja

  • Human Dermal CD14+ Cells Are a Transient Population of Monocyte-Derived Macrophages

    Naomi McGovern;Naomi McGovern;Andreas Schlitzer;Merry Gunawan;Laura Jardine

  • Molecular profiling reveals a tumor-promoting phenotype of monocytes and macrophages in human cancer progression.

    Manesh Chittezhath;Manprit Kaur Dhillon;Jyue Yuan Lim;Damya Laoui

Frequent Co-Authors

Anis Larbi
Anis Larbi Agency for Science, Technology and Research
Florent Ginhoux
Florent Ginhoux Agency for Science, Technology and Research
John S. Mackenzie
John S. Mackenzie Curtin University
Evan W. Newell
Evan W. Newell Fred Hutchinson Cancer Research Center
Roy A. Hall
Roy A. Hall University of Queensland
Andreas Schlitzer
Andreas Schlitzer University of Bonn
Benoit Malleret
Benoit Malleret National University of Singapore
Lai Guan Ng
Lai Guan Ng Westlake University
Muzlifah Haniffa
Muzlifah Haniffa Newcastle University
Olaf Rötzschke
Olaf Rötzschke Agency for Science, Technology and Research

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