D-Index & Metrics Best Publications

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 47 Citations 9,446 130 World Ranking 4092 National Ranking 275

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Artificial intelligence

Rolf Backofen focuses on Genetics, RNA, Computational biology, Gene and Algorithm. His research brings together the fields of Cell biology and Genetics. His study focuses on the intersection of RNA and fields such as Transcription with connections in the field of Alu element.

His Computational biology research incorporates elements of Cluster analysis, Simulation, CRISPR and Sequence alignment. His work on CRISPR Loci and Trans-activating crRNA as part of general CRISPR research is frequently linked to Transposition, bridging the gap between disciplines. His Algorithm research is multidisciplinary, relying on both Nucleic acid, Protein secondary structure, Set, Base pair and Lattice protein.

His most cited work include:

  • An updated evolutionary classification of CRISPR–Cas systems (1315 citations)
  • Autosomal dominant immune dysregulation syndrome in humans with CTLA4 mutations. (462 citations)
  • Inferring noncoding RNA families and classes by means of genome-scale structure-based clustering. (388 citations)

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

His primary scientific interests are in RNA, Computational biology, Genetics, Algorithm and Gene. His studies in RNA integrate themes in fields like Base pair, Bioinformatics and Sequence. His Computational biology research focuses on RNA-binding protein and how it relates to Binding site.

His research on Genetics frequently links to adjacent areas such as Cell biology. His biological study deals with issues like Lattice protein, which deal with fields such as Lattice and Protein structure prediction. Rolf Backofen interconnects Structure and Sequence alignment in the investigation of issues within Nucleic acid structure.

He most often published in these fields:

  • RNA (33.42%)
  • Computational biology (30.14%)
  • Genetics (18.63%)

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

  • Computational biology (30.14%)
  • RNA (33.42%)
  • CRISPR (8.49%)

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

His main research concerns Computational biology, RNA, CRISPR, Gene and Cell biology. His study in Computational biology is interdisciplinary in nature, drawing from both Ribosome profiling, Mutation, Function, In silico and RNA-binding protein. His RNA research includes themes of Annotation, Nucleotide and Interactome.

His research in CRISPR intersects with topics in Identification, Machine learning, Artificial intelligence and Bacterial genome size. His Cell biology research is multidisciplinary, incorporating perspectives in Chromatin, Regulation of gene expression, Downregulation and upregulation and RNA Helicase A. His Ribonucleoprotein study necessitates a more in-depth grasp of Genetics.

Between 2018 and 2021, his most popular works were:

  • Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants. (282 citations)
  • Comprehensive search for accessory proteins encoded with archaeal and bacterial type III CRISPR-cas gene cassettes reveals 39 new cas gene families (46 citations)
  • A pan-cancer analysis of synonymous mutations. (39 citations)

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

  • Gene
  • DNA
  • Artificial intelligence

His scientific interests lie mostly in Computational biology, CRISPR, RNA, Genome and Gene. His work carried out in the field of Computational biology brings together such families of science as Organism, Regulation of gene expression, Haloarchaea and Protein family. The subject of his CRISPR research is within the realm of Genetics.

Structure, Small nuclear RNA, Nucleic acid structure, Dot plot and Base pair is closely connected to Nucleotide in his research, which is encompassed under the umbrella topic of RNA. His work deals with themes such as Chromatin Loop, Algorithm, Loop and Selection, which intersect with Genome. His Gene study combines topics in areas such as Class and Functional diversity.

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

An updated evolutionary classification of CRISPR–Cas systems

Kira S. Makarova;Yuri I. Wolf;Omer S. Alkhnbashi;Fabrizio Costa.
Nature Reviews Microbiology (2015)

1454 Citations

Autosomal dominant immune dysregulation syndrome in humans with CTLA4 mutations.

Desireé Schubert;Desireé Schubert;Claudia Bode;Rupert Kenefeck;Tie Zheng Hou.
Nature Medicine (2014)

595 Citations

Inferring noncoding RNA families and classes by means of genome-scale structure-based clustering.

Sebastian Will;Kristin Reiche;Ivo L Hofacker;Peter F Stadler.
PLOS Computational Biology (2005)

519 Citations

Inferring non-coding RNA families and classes by means of genome-scale structure-based clustering

Ivo Hofacker;Peter Stadler;Sebastian Will;Rolf Backofen.
HASH(0x7fc54bd86c18) (2007)

506 Citations

IntaRNA: efficient prediction of bacterial sRNA targets incorporating target site accessibility and seed regions

Anke Busch;Andreas S. Richter;Rolf Backofen.
Bioinformatics (2008)

485 Citations

COMPUTATIONAL MOLECULAR BIOLOGY: AN INTRODUCTION

Peter Clote;Rolf Backofen.
(2000)

331 Citations

Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants.

Kira S Makarova;Yuri I Wolf;Jaime Iranzo;Sergey A Shmakov.
Nature Reviews Microbiology (2020)

318 Citations

CopraRNA and IntaRNA: predicting small RNA targets, networks and interaction domains

Patrick R. Wright;Jens Georg;Martin Mann;Dragos Alexandru Sorescu.
Nucleic Acids Research (2014)

263 Citations

LocARNA-P: Accurate boundary prediction and improved detection of structural RNAs

Sebastian Will;Tejal Joshi;Ivo L. Hofacker;Peter F. Stadler.
RNA (2012)

262 Citations

DHX9 suppresses RNA processing defects originating from the Alu invasion of the human genome

Tuğçe Aktaş;İbrahim Avşar Ilık;Daniel Maticzka;Vivek Bhardwaj;Vivek Bhardwaj.
Nature (2017)

247 Citations

Best Scientists Citing Rolf Backofen

Peter F. Stadler

Peter F. Stadler

Leipzig University

Publications: 112

Konstantin Severinov

Konstantin Severinov

Skolkovo Institute of Science and Technology

Publications: 66

Ivo L. Hofacker

Ivo L. Hofacker

University of Vienna

Publications: 66

Wolfgang R. Hess

Wolfgang R. Hess

University of Freiburg

Publications: 61

Eugene V. Koonin

Eugene V. Koonin

National Institutes of Health

Publications: 61

Jörg Vogel

Jörg Vogel

University of Würzburg

Publications: 48

Rodolphe Barrangou

Rodolphe Barrangou

North Carolina State University

Publications: 44

Kira S. Makarova

Kira S. Makarova

National Institutes of Health

Publications: 43

Kiyoshi Asai

Kiyoshi Asai

University of Tokyo

Publications: 40

Jennifer A. Doudna

Jennifer A. Doudna

University of California, Berkeley

Publications: 38

Luciano A. Marraffini

Luciano A. Marraffini

Rockefeller University

Publications: 34

Stan J. J. Brouns

Stan J. J. Brouns

Delft University of Technology

Publications: 32

Qunxin She

Qunxin She

Shandong University

Publications: 31

Peter C. Fineran

Peter C. Fineran

University of Otago

Publications: 30

Feng Zhang

Feng Zhang

Fudan University

Publications: 28

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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