World's Best Scientists 2026 revealed!
Rickard Sandberg

Rickard Sandberg

D-Index & Metrics

Genetics

D-Index
65
Citations
39777
World Ranking
2650
National Ranking
33

Rickard Sandberg 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 Rickard Sandberg 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: 148 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Rickard Sandberg 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 Rickard Sandberg 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: 65 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Rickard Sandberg is affiliated with the Karolinska Institute in Sweden and has contributed extensively to the field of Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology. Their research encompasses various subfields including Immunology, Cancer Research, Genetics, and Hematology.

The scientist's main research topics involve Single-cell and spatial transcriptomics, RNA Research and Splicing, Cancer Genomics and Diagnostics, RNA modifications and cancer, Gene expression and cancer classification, Gene Regulatory Network Analysis, and Cell Image Analysis Techniques. These focus areas reflect a broad and integrated approach to understanding gene expression and molecular mechanisms in health and disease contexts.

Rickard Sandberg has published multiple papers in high-impact journals. Recent examples include:

  • Single-cell RNA counting at allele and isoform resolution using Smart-seq3, 2020, Nature Biotechnology
  • Benchmarking single-cell RNA-sequencing protocols for cell atlas projects, 2020, Nature Biotechnology
  • Phenotypic variation of transcriptomic cell types in mouse motor cortex, 2020, Nature
  • The Molecular Anatomy of Mouse Skin during Hair Growth and Rest, 2020, Cell Stem Cell
  • Scalable single-cell RNA sequencing from full transcripts with Smart-seq3xpress, 2022, Nature Biotechnology

The most frequent publication venues for Sandberg's work include bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Nature Biotechnology, Genome Biology, and Developmental Cell. These venues indicate a strong presence in both preprint and peer-reviewed journal platforms within molecular biology and biotechnology.

Collaboration is an important aspect of Sandberg's research output. Frequent co-authors include Michael Hagemann-Jensen, Christoph Ziegenhain, Leonard Hartmanis, Gert-Jan Hendriks, and Anton J. M. Larsson, with numerous joint publications reflecting sustained collaborative efforts.

Best Publications

  • Alternative Isoform Regulation in Human Tissue Transcriptomes

    Eric T. Wang;Rickard Sandberg;Rickard Sandberg;Shujun Luo;Irina Khrebtukova

  • Full-length RNA-seq from single cells using Smart-seq2

    Simone Picelli;Omid R Faridani;Åsa K Björklund;Gösta Winberg

  • Smart-seq2 for sensitive full-length transcriptome profiling in single cells

    Simone Picelli;Åsa K Björklund;Åsa K Björklund;Omid R Faridani;Sven Sagasser;Sven Sagasser

  • Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells

    Daniel Ramsköld;Shujun Luo;Yu Chieh Wang;Robin Li

  • Proliferating Cells Express mRNAs with Shortened 3' Untranslated Regions and Fewer MicroRNA Target Sites

    Rickard Sandberg;Joel R. Neilson;Arup Sarma;Phillip A. Sharp

  • Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes.

    Åsa Segerstolpe;Athanasia Palasantza;Pernilla Eliasson;Eva-Marie Andersson

  • Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells.

    Qiaolin Deng;Daniel Ramsköld;Daniel Ramsköld;Björn Reinius;Björn Reinius;Rickard Sandberg;Rickard Sandberg

  • Notch signaling: simplicity in design, versatility in function

    Emma R. Andersson;Rickard Sandberg;Urban Lendahl

  • CTCF-promoted RNA polymerase II pausing links DNA methylation to splicing

    Sanjeev Shukla;Ersen Kavak;Ersen Kavak;Melissa Gregory;Masahiko Imashimizu

  • Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos

    Sophie Petropoulos;Sophie Petropoulos;Daniel Edsgärd;Daniel Edsgärd;Björn Reinius;Björn Reinius;Qiaolin Deng;Qiaolin Deng

  • An abundance of ubiquitously expressed genes revealed by tissue transcriptome sequence data.

    Daniel Ramsköld;Eric T. Wang;Christopher B. Burge;Rickard Sandberg

  • Tn5 transposase and tagmentation procedures for massively scaled sequencing projects

    Simone Picelli;Åsa K. Björklund;Björn Reinius;Björn Reinius;Sven Sagasser;Sven Sagasser

  • Gene expression perturbation in vitro--a growing case for three-dimensional (3D) culture systems.

    Anna Birgersdotter;Rickard Sandberg;Ingemar Ernberg

  • Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq

    Cathryn R Cadwell;Athanasia Palasantza;Athanasia Palasantza;Xiaolong Jiang;Philipp Berens

  • Regional and strain-specific gene expression mapping in the adult mouse brain

    Rickard Sandberg;Rie Yasuda;Daniel G. Pankratz;Todd A. Carter

  • Single-cell RNA counting at allele and isoform resolution using Smart-seq3.

    Michael Hagemann-Jensen;Christoph Ziegenhain;Ping Chen;Daniel Ramsköld

  • The heterogeneity of human CD127+ innate lymphoid cells revealed by single-cell RNA sequencing

    Åsa K Björklund;Åsa K Björklund;Åsa K Björklund;Marianne Forkel;Simone Picelli;Viktoria Konya

  • Determinants of targeting by endogenous and exogenous microRNAs and siRNAs.

    Cydney B. Nielsen;Noam Shomron;Rickard Sandberg;Eran Hornstein;Eran Hornstein

  • Genomic encoding of transcriptional burst kinetics

    Anton J. M. Larsson;Per Johnsson;Per Johnsson;Michael Hagemann-Jensen;Leonard Hartmanis

  • Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects

    Elisabetta Mereu;Atefeh Lafzi;Catia Moutinho;Christoph Ziegenhain

Frequent Co-Authors

Andreas S. Tolias
Andreas S. Tolias Baylor College of Medicine
Sten Eirik W. Jacobsen
Sten Eirik W. Jacobsen University of Oxford
Aviv Regev
Aviv Regev Genentech
Thomas Perlmann
Thomas Perlmann Karolinska Institute
Claus Nerlov
Claus Nerlov University of Oxford
Igor Jurisica
Igor Jurisica University Health Network
Ingemar Ernberg
Ingemar Ernberg Karolinska Institute
Sten Linnarsson
Sten Linnarsson Karolinska Institute
Ola Larsson
Ola Larsson Science for Life Laboratory

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