World's Best Scientists 2026 revealed!

D-Index & Metrics

Immunology

D-Index
50
Citations
11199
World Ranking
4216
National Ranking
1923

Stephen R. Spellman 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 Stephen R. Spellman 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: 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 scientists 807+ publications: 100 scientists
62 publications 807+

This scientist: 273 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Stephen R. Spellman 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 Stephen R. Spellman 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: 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 D-Index 157+

This scientist: 50 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Stephen R. Spellman is affiliated with the Medical College of Wisconsin in the United States and has a substantial publication record in the field of medicine, with a particular focus on hematology and transplantation. Their research encompasses a range of subfields including hematology, immunology, genetics, transplantation, and public health, environmental and occupational health.

Their work is prominently published in several leading scientific venues, including:

  • Transplantation and Cellular Therapy
  • Blood
  • Blood Advances
  • Journal of Clinical Oncology
  • bioRxiv (Cold Spring Harbor Laboratory)

Frequent collaborators in their research include Stephanie J. Lee, Shahinaz M. Gadalla, Tao Wang, Steven M. Devine, and Yung-Tsi Bolon.

Main topics of Stephen R. Spellman's research cover various aspects of hematopoietic stem cell transplantation and cancer genomics, with significant contributions to acute myeloid leukemia and acute lymphoblastic leukemia research, as well as studies on renal transplantation outcomes and immune cell function. Specific topics addressed in their publications include:

  • Hematopoietic Stem Cell Transplantation
  • Acute Myeloid Leukemia Research
  • Renal Transplantation Outcomes and Treatments
  • T-cell and B-cell Immunology
  • Immune Cell Function and Interaction
  • Acute Lymphoblastic Leukemia research
  • Cancer Genomics and Diagnostics

Representative recent publications authored or co-authored by Spellman include:

  • Current Use of and Trends in Hematopoietic Cell Transplantation in the United States (2020, Biology of Blood and Marrow Transplantation)
  • National Marrow Donor Program-Sponsored Multicenter, Phase II Trial of HLA-Mismatched Unrelated Donor Bone Marrow Transplantation Using Post-Transplant Cyclophosphamide (2021, Journal of Clinical Oncology)
  • A common allele of HLA is associated with asymptomatic SARS-CoV-2 infection (2023, Nature)
  • DNA Sequencing to Detect Residual Disease in Adults With Acute Myeloid Leukemia Prior to Hematopoietic Cell Transplant (2023, JAMA)
  • HLA informs risk predictions after haploidentical stem cell transplantation with posttransplantation cyclophosphamide (2021, Blood)

The body of work by Stephen R. Spellman demonstrates a focused engagement with disease mechanisms and transplant immunology, centering on improving understanding and outcomes in hematopoietic cell transplantation and related fields. Their contributions extend across both clinical and translational research frameworks, with implications for patient care strategies and risk assessment after transplantation.

Best Publications

  • HLA Match Likelihoods for Hematopoietic Stem-Cell Grafts in the U.S. Registry

    Loren Gragert;Mary Eapen;Eric Williams;John Freeman

  • HLA-C-dependent prevention of leukemia relapse by donor activating KIR2DS1

    Jeffrey M. Venstrom;Gianfranco Pittari;Ted A. Gooley;Joseph H. Chewning

  • Increasing Incidence of Chronic Graft-versus-Host Disease in Allogeneic Transplantation: A Report from the Center for International Blood and Marrow Transplant Research

    Sally Arai;Mukta Arora;Tao Wang;Tao Wang;Stephen R. Spellman

  • Effect of T-cell-epitope matching at HLA-DPB1 in recipients of unrelated-donor haemopoietic-cell transplantation: a retrospective study

    Katharina Fleischhauer;Bronwen E. Shaw;Bronwen E. Shaw;Theodore Gooley;Mari Malkki

  • The effect of donor characteristics on survival after unrelated donor transplantation for hematologic malignancy

    Craig Kollman;Stephen R. Spellman;Mei Jie Zhang;Mei Jie Zhang;Anna Hassebroek

  • High HLA-DP Expression and Graft-versus-Host Disease.

    Effie W. Petersdorf;Mari Malkki;Colm O’hUigin;Mary Carrington

  • Selection of unrelated donors and cord blood units for hematopoietic cell transplantation: guidelines from the NMDP/CIBMTR

    Jason Dehn;Stephen Spellman;Carolyn K. Hurley;Bronwen E. Shaw

  • Nonpermissive HLA-DPB1 mismatch increases mortality after myeloablative unrelated allogeneic hematopoietic cell transplantation

    Joseph Pidala;Stephanie J. Lee;Kwang Woo Ahn;Stephen Spellman

  • Impact of allele-level HLA matching on outcomes after myeloablative single unit umbilical cord blood transplantation for hematologic malignancy

    Mary Eapen;John P. Klein;John P. Klein;Annalisa Ruggeri;Stephen Spellman

  • CD16xCD33 bispecific killer cell engager (BiKE) activates NK cells against primary MDS and MDSC CD33+ targets.

    Michelle K. Gleason;Julie A. Ross;Erica D. Warlick;Troy C. Lund

  • Effect of donor–recipient HLA matching at HLA A, B, C, and DRB1 on outcomes after umbilical-cord blood transplantation for leukaemia and myelodysplastic syndrome: a retrospective analysis

    Mary Eapen;John P Klein;Guillermo F Sanz;Stephen Spellman

  • Unrelated donor cord blood transplantation for children with severe sickle cell disease: results of one cohort from the phase II study from the Blood and Marrow Transplant Clinical Trials Network (BMT CTN)

    Naynesh R. Kamani;Mark C. Walters;Shelly Carter;Victor Aquino

  • Adaptive NK cells with low TIGIT expression are inherently resistant to myeloid-derived suppressor cells.

    Dhifaf Sarhan;Frank Cichocki;Bin Zhang;Ashley Yingst

  • A perspective on the selection of unrelated donors and cord blood units for transplantation.

    Stephen R. Spellman;Mary Eapen;Brent R. Logan;Carlheinz Mueller

  • National Marrow Donor Program-Sponsored Multicenter, Phase II Trial of HLA-Mismatched Unrelated Donor Bone Marrow Transplantation Using Post-Transplant Cyclophosphamide

    Bronwen E. Shaw;Antonio Martin Jimenez-Jimenez;Linda J. Burns;Brent R. Logan

  • Multiple mismatches at the low expression HLA loci DP, DQ, and DRB3/4/5 associate with adverse outcomes in hematopoietic stem cell transplantation.

    Marcelo A. Fernández-Viña;John P. Klein;Michael Haagenson;Stephen R. Spellman

  • Donor Killer Cell Ig-like Receptor B Haplotypes, Recipient HLA-C1, and HLA-C Mismatch Enhance the Clinical Benefit of Unrelated Transplantation for Acute Myelogenous Leukemia

    Sarah A Cooley;Daniel J Weisdorf;Lisbeth A. Guethlein;John P. Klein

  • Development of an Unrelated Donor Selection Score Predictive of Survival after HCT: Donor Age Matters Most.

    Bronwen E. Shaw;Brent R. Logan;Stephen R. Spellman;Steven G.E. Marsh

  • Fast and accurate HLA typing from short-read next-generation sequence data with xHLA.

    Chao Xie;Zhen Xuan Yeo;Marie Wong;Jason Piper

  • Evaluation of HLA matching in unrelated hematopoietic stem cell transplantation for nonmalignant disorders.

    John Horan;Tao Wang;Michael Haagenson;Stephen R. Spellman

  • Classification of HLA-Matching for Retrospective Analysis of Unrelated Donor Transplantation: Revised Definitions To Predict Survival.

    Daniel J. Weisdorf;Stephen Spellman;John Klein;John Klein;Michael D. Haagenson

Frequent Co-Authors

Stephanie J. Lee
Stephanie J. Lee Fred Hutchinson Cancer Research Center
Mary M. Horowitz
Mary M. Horowitz Medical College of Wisconsin
Michael R. Verneris
Michael R. Verneris University of Colorado Denver
Effie W. Petersdorf
Effie W. Petersdorf University of Washington
Katharine C. Hsu
Katharine C. Hsu Memorial Sloan Kettering Cancer Center
Marcelo C. Pasquini
Marcelo C. Pasquini Medical College of Wisconsin
Daniel J. Weisdorf
Daniel J. Weisdorf University of Minnesota
Steven G.E. Marsh
Steven G.E. Marsh University College London
Martin Maiers
Martin Maiers Medical College of Wisconsin
Christopher A. Haiman
Christopher A. Haiman University of Southern California

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