D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Medicine D-index 98 Citations 49,804 515 World Ranking 5261 National Ranking 266
Molecular Biology D-index 104 Citations 57,905 533 World Ranking 251 National Ranking 19

Research.com Recognitions

Awards & Achievements

2018 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Human Genetics and Molecular Medicine

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Cancer

The scientist’s investigation covers issues in Genetics, Cell biology, Cancer research, Gene expression profiling and Cancer. His Genetics and Deep sequencing, Gene regulatory network, Genomics, Gene and DNA sequencing investigations all form part of his Genetics research activities. His Cell biology research includes themes of Apoptosis, Cell, Receptor and Cell culture.

His study in Gene expression profiling is interdisciplinary in nature, drawing from both Cell type, Microarray, DNA microarray, Human brain and Computational biology. Roland Eils has researched Cancer in several fields, including Germline mutation, Comparative genomic hybridization and Human genetics. His Human genetics research integrates issues from Medulloblastoma, Genome, Human genome and Bioinformatics.

His most cited work include:

  • Signatures of mutational processes in human cancer (5372 citations)
  • International network of cancer genome projects (1611 citations)
  • International network of cancer genome projects (1611 citations)

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

Computational biology, Genetics, Cell biology, Gene and Artificial intelligence are his primary areas of study. His work carried out in the field of Computational biology brings together such families of science as Cas9, CRISPR, Bioinformatics, Genomics and DNA microarray. His work in Genome, Cancer, Whole genome sequencing, Transcriptome and Chromosome is related to Genetics.

His Cell biology research includes elements of Chromatin, Cell, Receptor and Apoptosis. He focuses mostly in the field of Gene, narrowing it down to matters related to Cancer research and, in some cases, Downregulation and upregulation and Mutation. His work in Artificial intelligence covers topics such as Microscopy which are related to areas like Fluorescence microscope.

He most often published in these fields:

  • Computational biology (26.47%)
  • Genetics (25.10%)
  • Cell biology (25.38%)

What were the highlights of his more recent work (between 2018-2021)?

  • Gene (26.34%)
  • Computational biology (26.47%)
  • Cell biology (25.38%)

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

His primary scientific interests are in Gene, Computational biology, Cell biology, Genome and Cancer research. His Gene research entails a greater understanding of Genetics. His Computational biology study incorporates themes from CRISPR and Robustness.

Roland Eils combines subjects such as Cell and Gene expression profiling with his study of Cell biology. As a member of one scientific family, Roland Eils mostly works in the field of Genome, focusing on Cancer and, on occasion, Mutation and Virology. His research integrates issues of In vitro and Downregulation and upregulation in his study of Cancer research.

Between 2018 and 2021, his most popular works were:

  • Pan-cancer analysis of whole genomes (538 citations)
  • SARS-CoV-2 receptor ACE2 and TMPRSS2 are primarily expressed in bronchial transient secretory cells. (401 citations)
  • SARS-CoV-2 receptor ACE2 and TMPRSS2 are primarily expressed in bronchial transient secretory cells. (401 citations)

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

  • Gene
  • DNA
  • Cancer

Roland Eils spends much of his time researching Gene, Whole genome sequencing, Immunology, Cell biology and Genome. His Whole genome sequencing study improves the overall literature in Genetics. In the subject of general Immunology, his work in Immune system, Germinal center, MHC class II and T cell is often linked to European union, thereby combining diverse domains of study.

His study looks at the intersection of Cell biology and topics like Pathogenesis with Single-cell analysis, GTPase and RNA. His work deals with themes such as Cancer and Transcriptome, which intersect with Genome. His research in Cancer intersects with topics in Virology, APOBEC, Endogenous retrovirus, Virus Integration and Hepatitis B virus.

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

Signatures of mutational processes in human cancer

Ludmil B. Alexandrov;Serena Nik-Zainal;Serena Nik-Zainal;David C. Wedge;Samuel A. J. R. Aparicio.
Nature (2013)

8231 Citations

Complex heatmaps reveal patterns and correlations in multidimensional genomic data

Zuguang Gu;Roland Eils;Matthias Schlesner.
Bioinformatics (2016)

3508 Citations

International network of cancer genome projects

Thomas J. Hudson;Thomas J. Hudson;Warwick Anderson;Axel Aretz;Anna D. Barker.
(2010)

1839 Citations

circlize Implements and enhances circular visualization in R.

Zuguang Gu;Lei Gu;Roland Eils;Matthias Schlesner.
Bioinformatics (2014)

1832 Citations

Systemic spread is an early step in breast cancer.

Yves Hüsemann;Jochen B. Geigl;Falk Schubert;Piero Musiani.
Cancer Cell (2008)

1328 Citations

Pan-cancer analysis of whole genomes

Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart.
(2020)

1275 Citations

The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne.
Nature Biotechnology (2010)

1090 Citations

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.
eLife (2017)

1052 Citations

Three-Dimensional Maps of All Chromosomes in Human Male Fibroblast Nuclei and Prometaphase Rosettes

Andreas Bolzer;Gregor Kreth;Irina Solovei;Daniela Koehler.
PLOS Biology (2005)

929 Citations

Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes

Beate Neumann;Thomas Walter;Jean Karim Hériché;Jutta Bulkescher.
Nature (2010)

883 Citations

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