World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
55
Citations
12384
World Ranking
3793
National Ranking
156

Frank T. Christiansen 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 Frank T. Christiansen 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: 250 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Frank T. Christiansen 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 Frank T. Christiansen 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: 55 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Frank T. Christiansen is affiliated with the University of Western Australia in Australia. Their research spans several intersecting fields, primarily focusing on medicine and engineering, with significant contributions to biomedical engineering and medical imaging.

Christiansen's work covers multiple subfields, including:

  • Biomedical Engineering
  • Radiology, Nuclear Medicine and Imaging
  • Reproductive Medicine
  • Artificial Intelligence
  • Molecular Biology

Their research topics emphasize applications in ultrasound and hyperthermia, the integration of radiomics and machine learning in medical imaging, ovarian cancer diagnosis and treatment, AI in cancer detection, inflammasome and immune disorders, and biomarkers in disease mechanisms.

Frequent venues for their publications include:

  • Ultrasound in Obstetrics and Gynecology
  • Nature Medicine
  • Annals of the Rheumatic Diseases

Notable recent publications by Christiansen feature:

  • "Ultrasound image analysis using deep neural networks for discriminating between benign and malignant ovarian tumors: comparison with expert subjective assessment," 2020, Ultrasound in Obstetrics and Gynecology
  • "International multicenter validation of AI-driven ultrasound detection of ovarian cancer," 2025, Nature Medicine
  • "OC03.02: Ultrasound image analysis using deep neural networks to discriminate benign and malignant ovarian tumours: a comparison to subjective expert assessment," 2020, Ultrasound in Obstetrics and Gynecology
  • "OC01.04: AI-driven ultrasound detection of ovarian cancer that generalises: an international multicentre validation study," 2024, Ultrasound in Obstetrics and Gynecology
  • "POS0245 BLOOD-BASED EXTRACELLULAR MATRIX BIOMARKERS CAN IDENTIFY ENDOTYPES OF PATIENTS WITH AXSPA AND RESPONDERS TO ADALIMUMAB TREATMENT," 2023, Annals of the Rheumatic Diseases

Collaborations have involved several frequent co-authors, including:

  • E. Epstein
  • Kevin Smith
  • Erica Smedberg
  • Emir Konuk
  • Joana Palés Huix

Best Publications

  • Association between presence of HLA-B*5701, HLA-DR7, and HLA-DQ3 and hypersensitivity to HIV-1 reverse-transcriptase inhibitor abacavir

    S. Mallal;S. Mallal;D. Nolan;C. Witt;C. Witt;G. Masel;G. Masel

  • Evidence of HIV-1 Adaptation to HLA-Restricted Immune Responses at a Population Level

    Corey B. Moore;Mina John;Ian R. James;Frank T. Christiansen;Frank T. Christiansen

  • The genetic basis for the association of the 8.1 ancestral haplotype (A1, B8, DR3) with multiple immunopathological diseases

    Patricia Price;C. Witt;R. Allcock;D. Sayer

  • Predisposition to abacavir hypersensitivity conferred by HLA-B*5701 and a haplotypic Hsp70-Hom variant

    Annalise M. Martin;David Nolan;Silvana Gaudieri;Silvana Gaudieri;Coral Ann Almeida

  • Genome-wide association study identifies FCGR2A as a susceptibility locus for Kawasaki disease.

    Chiea Chuen Khor;Chiea Chuen Khor;Sonia Davila;Sonia Davila;Willemijn B. Breunis;Yi Ching Lee

  • Predisposition to nevirapine hypersensitivity associated with HLA-DRB1*0101 and abrogated by low CD4 T-cell counts

    Annalise M Martin;David Nolan;Ian James;Paul Cameron

  • The genomic organization and evolution of the natural killer immunoglobulin-like receptor (KIR) gene cluster.

    Annalise M. Martin;Elizabeth M. Freitas;Campbell S. Witt;Frank T. Christiansen

  • Ancestral haplotypes: conserved population MHC haplotypes.

    Mariapia A. Degli-Esposti;Anne L. Leaver;Frank T. Christiansen;Campbell S. Witt

  • KIR Ligands and Prediction of Relapse after Unrelated Donor Hematopoietic Cell Transplantation for Hematologic Malignancy

    Katharine C. Hsu;Ted Gooley;Mari Malkki;Clara Pinto-Agnello

  • Leukocyte Ig-like receptor complex (LRC) in mice and men

    Annalise M Martin;Jerzy K Kulski;Campbell Witt;Pierre Pontarotti

  • Population frequencies and putative haplotypes of the killer cell immunoglobulin-like receptor sequences and evidence for recombination.

    Campbell S. Witt;Christopher Dewing;David C. Sayer;Marcus Uhrberg

  • The beneficial role of inhibitory KIR genes of HLA class I NK epitopes in haploidentically mismatched stem cell allografts may be masked by residual donor-alloreactive T cells causing GVHD.

    A. Bishara;D. De Santis;C. C. Witt;C. Brautbar

  • Killer immunoglobulin-like receptors and HLA act both independently and synergistically to modify HIV disease progression

    S Gaudieri;S Gaudieri;D DeSantis;D DeSantis;E McKinnon;E McKinnon;C Moore

  • Natural killer cell allorecognition of missing self in allogeneic hematopoietic transplantation: a tool for immunotherapy of leukemia.

    Andrea Velardi;Loredana Ruggeri;Antonella Mancusi;Franco Aversa

  • Comparative genomic analysis, diversity and evolution of two KIR haplotypes A and B

    Annalise M Martin;Jerzy K Kulski;Silvana Gaudieri;Campbell S Witt;Campbell S Witt

  • KIR2DL4 (CD158d) Genotype Influences Expression and Function in NK Cells

    Jodie P. Goodridge;Campbell S. Witt;Frank T. Christiansen;Frank T. Christiansen;Hilary S. Warren

  • An approach to the localization of the susceptibility genes for generalized myasthenia gravis by mapping recombinant ancestral haplotypes.

    Mariapia A. Degli-Esposti;Adriane Andreas;Frank T. Christiansen;Bernd Schalke

  • Common variants in the HLA-DRB1-HLA-DQA1 HLA class II region are associated with susceptibility to visceral leishmaniasis.

    Michaela Fakiola;Amy Strange

  • Ancestral haplotypes reveal the role of the central MHC in the immunogenetics of IDDM.

    Mariapia A. Degli-Esposti;Lawrence J. Abraham;Vincent McCann;Thomas Spies

  • COMPLEMENT ALLOTYPING IN SLE: ASSOCIATION WITH C4A NULL

    F. T. Christiansen;R. L. Dawkins;G. Uko;J. McCLUSKEY

  • Accumulation of Mitochondrial DNA Mutations in Human Immunodeficiency Virus–Infected Patients Treated with Nucleoside-Analogue Reverse-Transcriptase Inhibitors

    Annalise M. Martin;Emma Hammond;David Nolan;Craig Pace

  • The reactivity of Bw4+ HLA-B and HLA-A alleles with KIR3DL1: implications for patient and donor suitability for haploidentical stem cell transplantations.

    Bree A. Foley;Dianne De Santis;Dianne De Santis;Els Van Beelen;Louise J. Lathbury

Frequent Co-Authors

Roger L. Dawkins
Roger L. Dawkins Murdoch University
Ian James
Ian James Perron Institute for Neurological and Translational Science
Simon Mallal
Simon Mallal Vanderbilt University Medical Center
Frank L. Mastaglia
Frank L. Mastaglia University of Western Australia
Silvana Gaudieri
Silvana Gaudieri University of Western Australia
David Nolan
David Nolan Royal Perth Hospital
Chaim Brautbar
Chaim Brautbar Hebrew University of Jerusalem
James McCluskey
James McCluskey University of Melbourne
Paul U. Cameron
Paul U. Cameron University of Melbourne
Machteld Oudshoorn
Machteld Oudshoorn Leiden University

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Related Online Degrees & Career Pathways

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