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2025
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Genetics
UK
2024

D-Index & Metrics

Best Female Scientists

D-Index
134
Citations
82964
World Ranking
293
National Ranking
24

Genetics

D-Index
134
Citations
85736
World Ranking
226
National Ranking
43

Sarah A. Teichmann publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Sarah A. Teichmann sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 367 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Sarah A. Teichmann D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Sarah A. Teichmann sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 134 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Best Female Scientists Award
  • 2024 - Research.com Genetics in United Kingdom Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in United Kingdom Leader Award
  • 2023 - Research.com Genetics in United Kingdom Leader Award
  • 2020 - Fellow of the Royal Society, United Kingdom
  • 2016 - Fellow of the International Society for Computational Biology
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)

Overview

Sarah A. Teichmann is affiliated with the Wellcome Sanger Institute in the United Kingdom. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, Medicine, and Immunology and Microbiology. Within these broader fields, their work focuses on subfields such as Molecular Biology, Immunology, Oncology, Infectious Diseases, and Biophysics.

The main topics covered in their research include Single-cell and spatial transcriptomics, T-cell and B-cell Immunology, Immune Cell Function and Interaction, Cell Image Analysis Techniques, SARS-CoV-2 and COVID-19 Research, IL-33, ST2, and ILC Pathways, and CAR-T cell therapy research.

Recent significant papers authored or co-authored by Sarah A. Teichmann include:

  • CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexes, 2020, Nature Protocols
  • Cells of the adult human heart, 2020, Nature
  • Cross-tissue immune cell analysis reveals tissue-specific features in humans, 2022, Science
  • SARS-CoV-2 infection of the oral cavity and saliva, 2021, Nature Medicine
  • Single-cell multi-omics analysis of the immune response in COVID-19, 2021, Nature Medicine

They frequently collaborate with a number of co-authors in their publications. The most recurrent co-authors are:

  • Muzlifah Haniffa
  • Kerstin B. Meyer
  • Krzysztof Polański
  • Lira Mamanova
  • Omer Ali Bayraktar

The venues where their research has commonly been published include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Nature Communications
  • Zenodo (CERN European Organization for Nuclear Research)
  • Science

Recognition of Sarah A. Teichmann's contributions to the scientific community is reflected in several fellowships and memberships, including:

  • Fellow of the Royal Society, United Kingdom (2020)
  • Fellow of the International Society for Computational Biology (2016)
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)

Best Publications

  • The Transcriptional Landscape of the Mammalian Genome

    P. Carninci;T. Kasukawa;S. Katayama;J. Gough

  • CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexes.

    Mirjana Efremova;Miquel Vento-Tormo;Sarah A. Teichmann;Sarah A. Teichmann;Roser Vento-Tormo

  • SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues.

    Carly G.K. Ziegler;Samuel J. Allon;Sarah K. Nyquist;Ian M. Mbano

  • Evolution of genes and genomes on the Drosophila phylogeny.

    Andrew G. Clark;Michael B. Eisen;Michael B. Eisen;Douglas R. Smith;Casey M. Bergman

  • Single-cell reconstruction of the early maternal–fetal interface in humans

    Roser Vento-Tormo;Roser Vento-Tormo;Mirjana Efremova;Rachel A. Botting;Margherita Y. Turco

  • Targeting CXCL12 from FAP-expressing carcinoma-associated fibroblasts synergizes with anti-PD-L1 immunotherapy in pancreatic cancer.

    Christine Feig;James O. Jones;Matthew Kraman;Richard J. B. Wells

  • A census of human transcription factors: function, expression and evolution

    Juan M. Vaquerizas;Sarah K. Kummerfeld;Sarah K. Kummerfeld;Sarah A. Teichmann;Nicholas M. Luscombe;Nicholas M. Luscombe

  • The Human Cell Atlas

    Aviv Regev;Aviv Regev;Aviv Regev;Sarah A Teichmann;Sarah A Teichmann;Sarah A Teichmann;Eric S Lander;Eric S Lander;Eric S Lander;Ido Amit

  • The technology and biology of single-cell RNA sequencing.

    Aleksandra A. Kolodziejczyk;Aleksandra A. Kolodziejczyk;Jong Kyoung Kim;Valentine Svensson;John C. Marioni;John C. Marioni

  • A rapid and robust method for single cell chromatin accessibility profiling

    Xi Chen;Ricardo J. Miragaia;Ricardo J. Miragaia;Kedar Nath Natarajan;Sarah A. Teichmann;Sarah A. Teichmann

  • Computational and analytical challenges in single-cell transcriptomics

    Oliver Stegle;Sarah A. Teichmann;John C. Marioni

  • Resolving the fibrotic niche of human liver cirrhosis at single cell level

    P Ramachandran;R Dobie;J R Wilson-Kanamori;E F Dora

  • Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

    Florian Buettner;Kedar N Natarajan;Kedar N Natarajan;F Paolo Casale;Valentina Proserpio;Valentina Proserpio

  • Cells of the adult human heart.

    Monika Litviňuková;Monika Litviňuková;Carlos Talavera-López;Carlos Talavera-López;Henrike Maatz;Daniel Reichart;Daniel Reichart

  • Genomic analysis of regulatory network dynamics reveals large topological changes

    Nicholas M. Luscombe;M. Madan Babu;Haiyuan Yu;Michael Snyder

  • Structure and evolution of transcriptional regulatory networks.

    M Madan Babu;Nicholas M Luscombe;L Aravind;Mark Gerstein

  • Accounting for technical noise in single-cell RNA-seq experiments

    Philip Brennecke;Simon Anders;Jong Kyoung Kim;Aleksandra A Kołodziejczyk;Aleksandra A Kołodziejczyk

  • A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications.

    Ashraful Haque;Jessica Engel;Sarah A. Teichmann;Tapio Lönnberg

  • Exponential scaling of single-cell RNA-seq in the past decade.

    Valentine Svensson;Valentine Svensson;Roser Vento-Tormo;Sarah A Teichmann;Sarah A Teichmann

  • Principles of protein-protein interactions.

    Sarah A. Teichmann

Frequent Co-Authors

John C. Marioni
John C. Marioni European Bioinformatics Institute
Muzlifah Haniffa
Muzlifah Haniffa Newcastle University
Aviv Regev
Aviv Regev Genentech
Sam Behjati
Sam Behjati Wellcome Sanger Institute
Menna R. Clatworthy
Menna R. Clatworthy University of Cambridge
Oliver Stegle
Oliver Stegle German Cancer Research Center
Cyrus Chothia
Cyrus Chothia MRC Laboratory of Molecular Biology
M. Madan Babu
M. Madan Babu St. Jude Children's Research Hospital
Berthold Göttgens
Berthold Göttgens University of Cambridge
Julian Gough
Julian Gough University of Bristol

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