World's Best Scientists 2026 revealed!
Daniel G. Pellicci

Daniel G. Pellicci

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Immunology 54 3866 3565 164 153 138 13012

Daniel G. Pellicci publications per year

The chart shows the history of publications by Daniel G. Pellicci between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daniel G. Pellicci published across 26 years, from 2000 to 2025, averaging 5.7 papers a year. Output peaked at 16 publications in 2016. 17 of the 147 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2016. 2000: 2 publications 2001: 1 publication 2002: 2 publications 2003: 1 publication 2004: 4 publications 2005: 10 publications 2006: 2 publications 2007: 5 publications 2008: 2 publications 2009: 5 publications 2010: 4 publications 2011: 8 publications 2012: 2 publications 2013: 5 publications 2014: 6 publications 2015: 4 publications 2016: 16 publications 2017: 4 publications 2018: 7 publications 2019: 8 publications 2020: 10 publications 2021: 10 publications 2022: 7 publications 2023: 5 publications 2024: 9 publications 2025: 8 publications
2000 2025

147 publications in total across all disciplines

View publications per year as a table
Daniel G. Pellicci: publications per year, 2000 to 2025
Year Publications
2000 2
2001 1
2002 2
2003 1
2004 4
2005 10
2006 2
2007 5
2008 2
2009 5
2010 4
2011 8
2012 2
2013 5
2014 6
2015 4
2016 16
2017 4
2018 7
2019 8
2020 10
2021 10
2022 7
2023 5
2024 9
2025 8
Total 147
Download as CSV

Daniel G. Pellicci 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 Daniel G. Pellicci 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, 132–141 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: 138 publications — 12th percentile

12% 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
132–141 160 138
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
Download as CSV

Daniel G. Pellicci 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 Daniel G. Pellicci 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, 54–55 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: 54 D-Index — 22nd percentile

22% 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
46–47 192
48–49 175
50–51 188
52–53 177
54–55 155 54
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
Download as CSV

Overview

Daniel G. Pellicci is affiliated with the University of Melbourne in Australia and has a significant publication record focusing primarily on immunology and microbiology, as well as medicine.

Their main fields of study include:

  • Immunology and Microbiology
  • Medicine

Within these fields, their subfield expertise encompasses:

  • Immunology
  • Infectious Diseases
  • Oncology
  • Epidemiology
  • Molecular Biology

Their research topics cover various aspects of immune system functionality and disease, including:

  • Immune Cell Function and Interaction
  • T-cell and B-cell Immunology
  • CAR-T cell therapy research
  • COVID-19 Clinical Research Studies
  • SARS-CoV-2 and COVID-19 Research
  • Immune cells in cancer
  • Neonatal Respiratory Health Research

Daniel G. Pellicci's frequent co-authors are:

  • Paul V. Licciardi
  • Jeremy Anderson
  • Stuart P. Berzins
  • Dale I. Godfrey
  • Lien Anh Ha

They have published regularly in several venues, including:

  • The Journal of Immunology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the National Academy of Sciences
  • Nature Communications
  • The Journal of Experimental Medicine

Representative papers authored by Daniel G. Pellicci include:

  • Thymic development of unconventional T cells: how NKT cells, MAIT cells and γδ T cells emerge (2020, Nature reviews. Immunology)

They have also contributed to multi-author publications such as:

  • Discrete tissue microenvironments instruct diversity in resident memory T cell function and plasticity (2021, Nature Immunology)
  • Immune responses to SARS-CoV-2 in three children of parents with symptomatic COVID-19 (2020, Nature Communications)
  • Sphingosine 1-phosphate receptor 5 (S1PR5) regulates the peripheral retention of tissue-resident lymphocytes (2021, The Journal of Experimental Medicine)
  • Comparison of Seroconversion in Children and Adults With Mild COVID-19 (2022, JAMA Network Open)

Best Publications

  • Hobit and Blimp1 instruct a universal transcriptional program of tissue residency in lymphocytes.

    Laura K. Mackay;Laura K. Mackay;Martina Minnich;Natasja A. M. Kragten;Yang Liao;Yang Liao

  • CD1d–lipid-antigen recognition by the semi-invariant NKT T-cell receptor

    Natalie Borg;Kwok Soon Wun;Lars Kjer-Nielsen;Matthew Charles James Wilce

  • Sequential production of interferon-gamma by NK1.1( ) T cells and natural killer cells is essential for the antimetastatic effect of alpha-galactosylceramide

    MJ Smyth;NY Crowe;DG Pellicci;K Kyparissoudis

  • T-box Transcription Factors Combine with the Cytokines TGF-β and IL-15 to Control Tissue-Resident Memory T Cell Fate

    Laura K. Mackay;Erica Wynne-Jones;David Freestone;Daniel G. Pellicci;Daniel G. Pellicci

  • Recognition of CD1d-restricted antigens by natural killer T cells

    Jamie Rossjohn;Daniel G Pellicci;Onisha G Patel;Laurent Gapin

  • IL-21 is produced by NKT cells and modulates NKT cell activation and cytokine production.

    Jonathan M Coquet;Konstantinos Kyparissoudis;Daniel G Pellicci;Gurdyal Besra

  • A natural killer T (NKT) cell developmental pathway involving a thymus dependent, NK1.1-CD4+ CD1d-dependent precursor stage

    Daniel G. Pellicci;Kirsten J.L. Hammond;Adam P. Uldrich;Alan G. Baxter

  • Differential antitumor immunity mediated by NKT cell subsets in vivo.

    Nadine Y. Crowe;Jonathan M. Coquet;Stuart P. Berzins;Konstantinos Kyparissoudis

  • Identification of phenotypically and functionally heterogeneous mouse mucosal-associated invariant t cells using MR1 tetramers

    Azad Rahimpour;Hui Fern Koay;Anselm Enders;Rhiannon Clanchy

  • A three-stage intrathymic development pathway for the mucosal-associated invariant T cell lineage

    Hui-Fern Koay;Nicholas A Gherardin;Nicholas A Gherardin;Anselm Enders;Liyen Loh

  • Discordant Regulation of Granzyme H and Granzyme B Expression in Human Lymphocytes

    Karin A Sedelies;Thomas J Sayers;Kirsten M Edwards;Weisan Chen

  • CD1d-lipid antigen recognition by the γδ TCR

    Adam P Uldrich;Jerome Le Nours;Jerome Le Nours;Daniel G Pellicci;Nicholas A Gherardin

  • Thymic development of unconventional T cells: how NKT cells, MAIT cells and γδ T cells emerge

    Daniel G. Pellicci;Hui-Fern Koay;Stuart P. Berzins;Stuart P. Berzins

  • CD1d-restricted NKT cells: an interstrain comparison.

    Kirsten J. L. Hammond;Daniel G. Pellicci;Lynn D. Poulton;Olga V. Naidenko

  • Differential Recognition of CD1d-α-Galactosyl Ceramide by the Vβ8.2 and Vβ7 Semi-invariant NKT T Cell Receptors

    Daniel G Pellicci;Onisha Patel;Lars Kjer-Nielsen;Siew Siew Pang

  • Human blood MAIT cell subsets defined using MR1 tetramers.

    Nicholas A. Gherardin;Michael N.T. Souter;Hui Fern Koay;Kirstie M. Mangas

  • NKT cell stimulation with glycolipid antigen in vivo: costimulation-dependent expansion, Bim-dependent contraction, and hyporesponsiveness to further antigenic challenge.

    Adam P. Uldrich;Nadine Y. Crowe;Konstantinos Kyparissoudis;Daniel G. Pellicci

  • Discrete tissue microenvironments instruct diversity in resident memory T cell function and plasticity.

    Susan N. Christo;Maximilien Evrard;Simone L. Park;Luke C. Gandolfo;Luke C. Gandolfo

  • Diversity of T Cells Restricted by the MHC Class I-Related Molecule MR1 Facilitates Differential Antigen Recognition

    Nicholas A. Gherardin;Nicholas A. Gherardin;Andrew N. Keller;Rachel E. Woolley;Jérôme Le Nours

  • NKT cell–dependent leukemia eradication following stem cell mobilization with potent G-CSF analogs

    Edward S. Morris;Edward S. Morris;Kelli P.A. MacDonald;Vanessa Rowe;Tatjana Banovic

  • Humans lack iGb3 due to the absence of functional iGb3-synthase: implications for NKT cell development and transplantation.

    Dale Christiansen;Julie Milland;Effie Mouhtouris;Hilary A Vaughan

Frequent Co-Authors

Dale I. Godfrey
Dale I. Godfrey University of Melbourne
Jamie Rossjohn
Jamie Rossjohn Monash University
James McCluskey
James McCluskey University of Melbourne
Mark J. Smyth
Mark J. Smyth QIMR Berghofer Medical Research Institute
Gurdyal S. Besra
Gurdyal S. Besra University of Birmingham
Stephanie Gras
Stephanie Gras La Trobe University
Lars Kjer-Nielsen
Lars Kjer-Nielsen University of Melbourne
David P. Fairlie
David P. Fairlie University of Queensland
Steven A. Porcelli
Steven A. Porcelli Albert Einstein College of Medicine
Laurent Gapin
Laurent Gapin University of Colorado Anschutz Medical Campus

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Immunology in the USA opens doors to various advanced healthcare roles, often requiring specialized online degrees. For those interested in nursing, exploring the cheapest psych NP programs can provide a cost-effective route to becoming a Psychiatric Nurse Practitioner, blending immunological knowledge with mental health care.

Advancing to a Doctor of Nursing Practice level significantly impacts earning potential. Understanding the doctor of nursing practice salary across states helps prospective students gauge financial outcomes and regional opportunities within immunology-related nursing fields.

Those already working as Family Nurse Practitioners might consider transitioning to acute care settings. Resources on how to fnp to acnp transitions are invaluable for broadening clinical skills and aligning immunology expertise with acute patient care.

For a faster track into nursing practice, accelerated FNP programs offer intensive, online pathways to certification, perfect for immunology students seeking to quickly enter the healthcare workforce.

Best Scientists Citing Daniel G. Pellicci

Trending Scientists

Recently Published Articles