H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 58 Citations 26,050 163 World Ranking 5998 National Ranking 52

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • RNA

The scientist’s investigation covers issues in RNA, Computational biology, Genetics, Non-coding RNA and Folding. His study in RNA is interdisciplinary in nature, drawing from both Base pair, Protein secondary structure and Sequence. Ivo L. Hofacker combines subjects such as Nucleic acid structure, Human genome, Sequence alignment, Phylogenetic tree and Conserved sequence with his study of Computational biology.

His Sequence alignment research includes elements of Software and Bioinformatics. In general Non-coding RNA study, his work on Rfam often relates to the realm of Structure based, thereby connecting several areas of interest. The various areas that Ivo L. Hofacker examines in his Dynamic programming study include Basis, Energy and Partition function.

His most cited work include:

  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
  • ViennaRNA Package 2.0 (2266 citations)
  • ViennaRNA Package 2.0 (2266 citations)

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

Ivo L. Hofacker mainly investigates RNA, Computational biology, Genetics, Genome and Folding. His research in RNA intersects with topics in Base pair and Protein secondary structure. The Protein secondary structure study combines topics in areas such as Basis and Nucleic acid.

Comparative genomics and Complementarity is closely connected to Non-coding RNA in his research, which is encompassed under the umbrella topic of Computational biology. The study incorporates disciplines such as Evolutionary biology, Phylogenetics and Coding region in addition to Genome. His Dynamic programming research focuses on Energy and how it connects with Statistical physics.

He most often published in these fields:

  • RNA (63.93%)
  • Computational biology (40.36%)
  • Genetics (28.57%)

What were the highlights of his more recent work (between 2015-2021)?

  • RNA (63.93%)
  • Computational biology (40.36%)
  • Genome (20.36%)

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

His main research concerns RNA, Computational biology, Genome, Gene and Non-coding RNA. His studies in RNA integrate themes in fields like Base pair, Transcription and Synthetic biology. His Computational biology research includes themes of Protein secondary structure, RNA Sequence, Sequence, In silico and Riboswitch.

Genome is the subject of his research, which falls under Genetics. In his research, Pipeline and Bioinformatics is intimately related to Complementarity, which falls under the overarching field of Non-coding RNA. Ivo L. Hofacker works mostly in the field of Genomics, limiting it down to concerns involving Long non-coding RNA and, occasionally, Regulation of gene expression.

Between 2015 and 2021, his most popular works were:

  • AREsite2: an enhanced database for the comprehensive investigation of AU/GU/U-rich elements (80 citations)
  • AREsite2: an enhanced database for the comprehensive investigation of AU/GU/U-rich elements (80 citations)
  • Predicting RNA secondary structures from sequence and probing data. (61 citations)

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

  • Gene
  • DNA
  • RNA

His scientific interests lie mostly in RNA, Computational biology, Transcriptome, Genome and Regulation of gene expression. RNA is a subfield of Genetics that Ivo L. Hofacker tackles. His Genetics study integrates concerns from other disciplines, such as Web server and Model building.

His Computational biology research integrates issues from Non-coding RNA, microRNA, Base pair, Sequence and Base sequence. His Non-coding RNA study combines topics in areas such as Complementarity and Bioinformatics. His research in Genome focuses on subjects like Nucleic acid secondary structure, which are connected to Database, Genomics, Intron and Molecular Sequence Annotation.

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

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó.
Nature (2007)

5251 Citations

ViennaRNA Package 2.0

Ronny Lorenz;Stephan H. F. Bernhart;Christian Höner zu Siederdissen;Hakim Tafer.
Algorithms for Molecular Biology (2011)

2843 Citations

Fast folding and comparison of RNA secondary structures

I. L. Hofacker;W. Fontana;P. F. Stadler;P. F. Stadler;L. S. Bonhoeffer.
Monatshefte Fur Chemie (1994)

2701 Citations

RNA Maps Reveal New RNA Classes and a Possible Function for Pervasive Transcription

Philipp Kapranov;Jill Cheng;Sujit Dike;David A. Nix.
Science (2007)

2439 Citations

Vienna RNA secondary structure server

Ivo L. Hofacker.
Nucleic Acids Research (2003)

2388 Citations

The Vienna RNA Websuite

Andreas R. Gruber;Ronny Lorenz;Stephan H. F. Bernhart;Richard Neuböck.
Nucleic Acids Research (2008)

1603 Citations

From Sequences to Shapes and Back: A Case Study in RNA Secondary Structures

Peter Schuster;Walter Fontana;Peter F. Stadler;Ivo L. Hofacker.
Proceedings of The Royal Society B: Biological Sciences (1994)

981 Citations

Fast and reliable prediction of noncoding RNAs

Stefan Washietl;Ivo L. Hofacker;Peter F. Stadler.
Proceedings of the National Academy of Sciences of the United States of America (2005)

814 Citations

Fast Folding and Comparison of RNA Secondary Structures

Ivo L. Hofacker;Walter Fontana;Peter F. Stadler;L. Sebastian Bonhoeffer.
Research Papers in Economics (1993)

812 Citations

Secondary structure prediction for aligned RNA sequences.

Ivo L. Hofacker;Martin Fekete;Peter F. Stadler;Peter F. Stadler.
Journal of Molecular Biology (2002)

772 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Ivo L. Hofacker

Peter F. Stadler

Peter F. Stadler

Leipzig University

Publications: 315

Rolf Backofen

Rolf Backofen

University of Freiburg

Publications: 127

Andreas Wagner

Andreas Wagner

University of Zurich

Publications: 122

Manolis Kellis

Manolis Kellis

MIT

Publications: 90

John S. Mattick

John S. Mattick

UNSW Sydney

Publications: 85

Kiyoshi Asai

Kiyoshi Asai

University of Tokyo

Publications: 77

Piero Carninci

Piero Carninci

Centre for Life

Publications: 59

Robert Giegerich

Robert Giegerich

Bielefeld University

Publications: 52

Mark Gerstein

Mark Gerstein

Yale University

Publications: 51

Rhiju Das

Rhiju Das

Stanford University

Publications: 50

Michael Snyder

Michael Snyder

Stanford University

Publications: 50

Tamar Schlick

Tamar Schlick

New York University

Publications: 49

Eric S. Lander

Eric S. Lander

Office of Science and Technology Policy

Publications: 49

John L. Rinn

John L. Rinn

University of Colorado Boulder

Publications: 48

Marcel E. Dinger

Marcel E. Dinger

UNSW Sydney

Publications: 47

Roderic Guigó

Roderic Guigó

Pompeu Fabra University

Publications: 44

Something went wrong. Please try again later.