D-Index & Metrics Best Publications
Research.com 2022 Best Female Scientist Award Badge

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Genetics and Molecular Biology D-index 108 Citations 46,068 286 World Ranking 317 National Ranking 35
Best female scientists D-index 132 Citations 65,737 363 World Ranking 200 National Ranking 19

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist 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)

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • DNA
  • Genetics

Her primary scientific interests are in Computational biology, Genetics, Cell, Single-cell analysis and Transcriptome. Her Computational biology study combines topics in areas such as RNA, Cell type, Bioinformatics and Gene expression profiling. Her Cell research incorporates elements of Cancer, Cell signaling and Parenchyma.

Sarah A. Teichmann has researched Single-cell analysis in several fields, including Renal cell carcinoma, Kidney metabolism and Cell biology. Her Cell biology research is multidisciplinary, incorporating perspectives in Acquired immune system, Immune system, Antigen, Stromal cell and T-cell receptor. Her Transcriptome study incorporates themes from Cancer research, T lymphocyte, T cell, Wilms' tumor and Transcription.

Her most cited work include:

  • The Transcriptional Landscape of the Mammalian Genome (2952 citations)
  • Evolution of genes and genomes on the Drosophila phylogeny. (1770 citations)
  • SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues. (1182 citations)

What are the main themes of her work throughout her whole career to date?

Sarah A. Teichmann mainly focuses on Cell biology, Computational biology, Cell, Immune system and Genetics. Her Cell biology research incorporates themes from T cell, Transcriptome, Transcription factor and Single-cell analysis. The concepts of her Transcriptome study are interwoven with issues in Phenotype, Cancer research, Mesenchymal stem cell and Cellular differentiation.

Her Computational biology research integrates issues from RNA-Seq, Gene expression, Bioinformatics, Genomics and Protein structure. Specifically, her work in Cell is concerned with the study of Cell type. Her studies deal with areas such as Inflammation and Stromal cell as well as Immune system.

She most often published in these fields:

  • Cell biology (59.59%)
  • Computational biology (44.92%)
  • Cell (44.74%)

What were the highlights of her more recent work (between 2019-2021)?

  • Cell biology (59.59%)
  • Cell (44.74%)
  • Immune system (39.66%)

In recent papers she was focusing on the following fields of study:

Her main research concerns Cell biology, Cell, Immune system, Transcriptome and Computational biology. Her Cell biology study combines topics from a wide range of disciplines, such as T cell and Cell type. Sarah A. Teichmann has included themes like RNA, Cancer research, Homeostasis and T-cell receptor in her Cell study.

She interconnects Inflammation, Neuroscience and Single-cell analysis in the investigation of issues within Immune system. While the research belongs to areas of Transcriptome, Sarah A. Teichmann spends her time largely on the problem of B cell, intersecting her research to questions surrounding Affinity maturation. The various areas that Sarah A. Teichmann examines in her Computational biology study include RNA-Seq, Genome, Gene, DNA sequencing and Profiling.

Between 2019 and 2021, her most popular works were:

  • SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues. (1182 citations)
  • CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexes. (399 citations)
  • CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexes. (399 citations)

In her most recent research, the most cited papers focused on:

  • Gene
  • DNA
  • Enzyme

Sarah A. Teichmann mostly deals with Cell biology, Immune system, Transcriptome, Cell and Computational biology. Her Cell biology research includes themes of T cell, Single cell sequencing, B cell and Transcription factor. Her studies in Immune system integrate themes in fields like Megakaryocyte, Stromal cell, Neuroscience and Single-cell analysis.

Her work carried out in the field of Transcriptome brings together such families of science as Haematopoiesis, Stem cell, Endothelium, breakpoint cluster region and Cell type. Within one scientific family, Sarah A. Teichmann focuses on topics pertaining to RNA under Cell, and may sometimes address concerns connected to Gene expression, Feature and Cluster analysis. The Computational biology study combines topics in areas such as Single cell transcriptomics and Genome, Gene.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Transcriptional Landscape of the Mammalian Genome

P. Carninci;T. Kasukawa;S. Katayama;J. Gough.
Science (2005)

3468 Citations

Evolution of genes and genomes on the Drosophila phylogeny.

Andrew G. Clark;Michael B. Eisen;Michael B. Eisen;Douglas R. Smith;Casey M. Bergman.
Nature (2007)

1659 Citations

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.
Nature Reviews Genetics (2009)

1501 Citations

Genomic analysis of regulatory network dynamics reveals large topological changes

Nicholas M. Luscombe;M. Madan Babu;Haiyuan Yu;Michael Snyder.
Nature (2004)

1106 Citations

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.
Proceedings of the National Academy of Sciences of the United States of America (2013)

986 Citations

Structure and evolution of transcriptional regulatory networks.

M Madan Babu;Nicholas M Luscombe;L Aravind;Mark Gerstein.
Current Opinion in Structural Biology (2004)

941 Citations

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.
Nature Biotechnology (2015)

874 Citations

Computational and analytical challenges in single-cell transcriptomics

Oliver Stegle;Sarah A. Teichmann;John C. Marioni.
Nature Reviews Genetics (2015)

836 Citations

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

Philip Brennecke;Simon Anders;Jong Kyoung Kim;Aleksandra A Kołodziejczyk;Aleksandra A Kołodziejczyk.
Nature Methods (2013)

732 Citations

An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man

Timothy Ravasi;Harukazu Suzuki;Carlo Vittorio Cannistraci;Shintaro Katayama.
Cell (2010)

717 Citations

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