World's Best Scientists 2026 revealed!
Steven H. Kleinstein

Steven H. Kleinstein

D-Index & Metrics

Biology and Biochemistry

D-Index
73
Citations
19240
World Ranking
5928
National Ranking
2806

Steven H. Kleinstein publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Steven H. Kleinstein sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 242 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Steven H. Kleinstein D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Steven H. Kleinstein sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 73 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Steven H. Kleinstein is affiliated with Yale University in the United States. Their research spans multiple areas within medicine, immunology, and molecular biology, with a significant focus on immunology and infectious diseases.

Kleinstein's work covers a broad range of topics, including:

  • T-cell and B-cell Immunology
  • Vaccines and immunoinformatics approaches
  • SARS-CoV-2 and COVID-19 Research
  • COVID-19 Clinical Research Studies
  • Immune Cell Function and Interaction
  • Monoclonal and Polyclonal Antibodies Research
  • Long-Term Effects of COVID-19

The primary fields of study for Kleinstein's publications are:

  • Medicine
  • Immunology and Microbiology
  • Biochemistry, Genetics and Molecular Biology

Within these, the main subfields of focus include:

  • Immunology
  • Molecular Biology
  • Infectious Diseases
  • Epidemiology
  • Neurology

Kleinstein has contributed to several high-profile papers, including:

  • Heterogeneity of meningeal B cells reveals a lymphopoietic niche at the CNS borders, 2021, Science
  • Human germinal centres engage memory and naive B cells after influenza vaccination, 2020, Nature
  • Immune dysregulation and autoreactivity correlate with disease severity in SARS-CoV-2-associated multisystem inflammatory syndrome in children, 2021, Immunity
  • A Potently Neutralizing Antibody Protects Mice against SARS-CoV-2 Infection, 2020, The Journal of Immunology
  • Divergent and self-reactive immune responses in the CNS of COVID-19 patients with neurological symptoms, 2021, Cell Reports Medicine

Frequent publication venues for Kleinstein include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Journal of Immunology
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Immunology
  • PLoS Computational Biology

Kleinstein has collaborated regularly with several co-authors, notably:

  • Ruth R. Montgomery
  • Kenneth B. Hoehn
  • Ofer Levy
  • David A. Hafler
  • Albert C. Shaw

Best Publications

  • Phosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tumor T Cell Responses.

    Ping Chih Ho;Jessica Dauz Bihuniak;Andrew N. MacIntyre;Matthew Staron

  • Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data

    Namita T. Gupta;Jason A. Vander Heiden;Mohamed Uduman;Daniel Gadala-Maria

  • Two levels of protection for the B cell genome during somatic hypermutation

    Man Liu;Jamie L. Duke;Daniel J. Richter;Daniel J. Richter;Carola G. Vinuesa

  • Germinal Center B Cell and T Follicular Helper Cell Development Initiates in the Interfollicular Zone

    Steven M. Kerfoot;Gur Yaari;Jaymin R. Patel;Kody L. Johnson

  • B cells populating the multiple sclerosis brain mature in the draining cervical lymph nodes

    Joel N. H. Stern;Gur Yaari;Gur Yaari;Jason A. Vander Heiden;George Church

  • pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires.

    Jason A. Vander Heiden;Gur Yaari;Mohamed Uduman;Joel N.H. Stern

  • CD80 and PD-L2 define functionally distinct memory B cell subsets that are independent of antibody isotype

    Griselda V Zuccarino-Catania;Saheli Sadanand;Florian J Weisel;Mary M Tomayko

  • Heterogeneity of meningeal B cells reveals a lymphopoietic niche at the CNS borders.

    Simone Brioschi;Wei Le Wang;Vincent Peng;Meng Wang

  • Definition of Germinal-Center B Cell Migration In Vivo Reveals Predominant Intrazonal Circulation Patterns

    Anja E. Hauser;Tobias Junt;Thorsten R. Mempel;Michael W. Sneddon

  • Differential Expression of Ly6C and T-bet Distinguish Effector and Memory Th1 CD4+ Cell Properties during Viral Infection

    Heather D. Marshall;Anmol Chandele;Yong Woo Jung;Yong Woo Jung;Hailong Meng

  • Human germinal centres engage memory and naive B cells after influenza vaccination.

    Jackson S. Turner;Julian Q. Zhou;Julianna Han;Aaron J. Schmitz

  • The transcription factors ZEB2 and T-bet cooperate to program cytotoxic T cell terminal differentiation in response to LCMV viral infection

    Claudia X. Dominguez;Robert A. Amezquita;Robert A. Amezquita;Tianxia Guan;Tianxia Guan;Heather D. Marshall

  • Practical guidelines for B-cell receptor repertoire sequencing analysis

    Gur Yaari;Steven H. Kleinstein

  • Antigen-specific, antibody-coated, exosome-like nanovesicles deliver suppressor T-cell microRNA-150 to effector T cells to inhibit contact sensitivity

    Krzysztof Bryniarski;Wlodzimierz Ptak;Asha Jayakumar;Kerstin Püllmann

  • Models of Somatic Hypermutation Targeting and Substitution Based on Synonymous Mutations from High-Throughput Immunoglobulin Sequencing Data

    Gur Yaari;Gur Yaari;Jason A. Vander Heiden;Mohamed Uduman;Daniel Gadala-Maria

  • Automated analysis of high-throughput B-cell sequencing data reveals a high frequency of novel immunoglobulin V gene segment alleles

    Daniel Gadala-Maria;Gur Yaari;Mohamed Uduman;Steven H. Kleinstein

  • The Effects of Somatic Hypermutation on Neutralization and Binding in the PGT121 Family of Broadly Neutralizing HIV Antibodies

    Devin Sok;Uri Laserson;Uri Laserson;Jonathan Laserson;Yi-Ping Liu

  • Salmonella Typhimurium type III secretion effectors stimulate innate immune responses in cultured epithelial cells.

    Vincent M. Bruno;Sebastian Hannemann;María Lara-Tejero;Richard A. Flavell

  • Correction: Corrigendum: Long-lived antigen-induced IgM plasma cells demonstrate somatic mutations and contribute to long-term protection

    Caitlin Bohannon;Ryan Powers;Lakshmipriyadarshini Satyabhama;Ang Cui

  • Quantitative set analysis for gene expression: a method to quantify gene set differential expression including gene-gene correlations

    Gur Yaari;Christopher R. Bolen;Juilee Thakar;Steven H. Kleinstein

Frequent Co-Authors

Kevin C. O’Connor
Kevin C. O’Connor Yale University
Susan M. Kaech
Susan M. Kaech Salk Institute for Biological Studies
David A. Hafler
David A. Hafler Yale University
Ruth R. Montgomery
Ruth R. Montgomery Yale University
Akiko Iwasaki
Akiko Iwasaki Yale University
Mark J. Shlomchik
Mark J. Shlomchik University of Pittsburgh
Stuart C. Sealfon
Stuart C. Sealfon Icahn School of Medicine at Mount Sinai
Kei-Hoi Cheung
Kei-Hoi Cheung Yale University
Erol Fikrig
Erol Fikrig Yale University
George M. Church
George M. Church Harvard University

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