D-Index & Metrics Best Publications
Janusz M. Bujnicki

Janusz M. Bujnicki

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
Genetics D-index 76 Citations 18,733 336 World Ranking 1204 National Ranking 571

Research.com Recognitions

Awards & Achievements

2018 - Member of Academia Europaea

2016 - Polish Academy of Science

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Enzyme

Janusz M. Bujnicki mainly focuses on RNA, Computational biology, Genetics, Bioinformatics and Protein structure. His research integrates issues of Nucleic acid, Sequence analysis and Database in his study of RNA. In Database, he works on issues like Epitranscriptomics, which are connected to RNA methylation, Modified nucleosides, RNA metabolism and Enzyme.

Janusz M. Bujnicki has researched Computational biology in several fields, including Docking, Macromolecular docking, Protein function prediction, Structural bioinformatics and Gene. His work carried out in the field of Bioinformatics brings together such families of science as Machine learning, Protein structure prediction, CASP and Rna structure prediction. His Protein structure study incorporates themes from Data mining and Binding site.

His most cited work include:

  • MODOMICS: a database of RNA modification pathways—2013 update (740 citations)
  • MODOMICS: a database of RNA modification pathways. 2017 update. (610 citations)
  • MODOMICS: a database of RNA modification pathways. 2017 update. (610 citations)

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

Janusz M. Bujnicki focuses on RNA, Genetics, Biochemistry, DNA and Computational biology. RNA is closely attributed to Bioinformatics in his study. His Genetics research includes elements of Protein structure and Homology modeling.

His work deals with themes such as Binding site and Protein folding, which intersect with Protein structure. His DNA research includes themes of Molecular biology and Nucleic acid. His Computational biology research incorporates themes from Docking, Structural bioinformatics, Protein structure prediction, RNA splicing and Small molecule.

He most often published in these fields:

  • RNA (54.99%)
  • Genetics (37.59%)
  • Biochemistry (31.32%)

What were the highlights of his more recent work (between 2016-2021)?

  • RNA (54.99%)
  • Computational biology (34.11%)
  • DNA (29.93%)

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

His scientific interests lie mostly in RNA, Computational biology, DNA, Cell biology and Nucleic acid structure. The RNA study combines topics in areas such as Folding, Structure and Base pair. His Computational biology study combines topics from a wide range of disciplines, such as Docking, Enzyme, Gene, Transfer RNA and Riboswitch.

His Transfer RNA research is multidisciplinary, incorporating perspectives in Epitranscriptomics, RNA modification, RNA methylation and RNA metabolism. He interconnects Mutagenesis and Protein family in the investigation of issues within DNA. His Rna structure prediction research is multidisciplinary, relying on both Binding site and Bioinformatics.

Between 2016 and 2021, his most popular works were:

  • MODOMICS: a database of RNA modification pathways. 2017 update. (610 citations)
  • MODOMICS: a database of RNA modification pathways. 2017 update. (610 citations)
  • RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme (108 citations)

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

  • Gene
  • DNA
  • Enzyme

Janusz M. Bujnicki mainly investigates RNA, Computational biology, Nucleic acid structure, Transfer RNA and Enzyme. The study incorporates disciplines such as Transcription factor and Phylogenetics in addition to RNA. His Computational biology study also includes fields such as

  • Ribozyme which intersects with area such as Rna structure prediction, Bioinformatics, Small molecule and Nucleic acid secondary structure,
  • Aptamer together with Force field.

His studies in Nucleic acid structure integrate themes in fields like Sequence, Experimental data, Function and Sense. His Transfer RNA study combines topics in areas such as Annotation, Genome browser and Non-coding RNA. His research in Epitranscriptomics focuses on subjects like RNA methylation, which are connected to Database.

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

MODOMICS: a database of RNA modification pathways. 2017 update.

Boccaletto P;Machnicka Ma;Machnicka Ma;Purta E;Piatkowski P.
Nucleic Acids Research (2018)

1215 Citations

MODOMICS: a database of RNA modification pathways—2013 update

Magdalena A. Machnicka;Kaja Milanowska;Okan Osman Oglou;Elzbieta Purta.
Nucleic Acids Research (2012)

973 Citations

Transcriptome Profile of Human Colorectal Adenomas

Jacob Sabates-Bellver;Laurens G Van der Flier;Mariagrazia de Palo;Elisa Cattaneo.
Molecular Cancer Research (2007)

543 Citations

GeneSilico protein structure prediction meta-server

Michal A. Kurowski;Janusz M. Bujnicki.
Nucleic Acids Research (2003)

505 Citations

Pcons: a neural-network-based consensus predictor that improves fold recognition.

Jesper Lundström;Leszek Rychlewski;Janusz Bujnicki;Arne Elofsson.
Protein Science (2008)

374 Citations

MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins

Lukasz P Kozlowski;Janusz M Bujnicki.
BMC Bioinformatics (2012)

350 Citations

MODOMICS: a database of RNA modification pathways

Stanislaw Dunin-Horkawicz;Anna Czerwoniec;Michal J. Gajda;Marcin Feder.
Nucleic Acids Research (2006)

314 Citations

Structure prediction meta server

Janusz M. Bujnicki;Arne Elofsson;Daniel Fischer;Leszek Rychlewski.
Bioinformatics (2001)

267 Citations

SimRNA: a coarse-grained method for RNA folding simulations and 3D structure prediction

Michal J. Boniecki;Grzegorz Lach;Wayne K. Dawson;Konrad Tomala.
Nucleic Acids Research (2016)

256 Citations

RNA-Puzzles: A CASP-like evaluation of RNA three-dimensional structure prediction

José Almeida Cruz;Marc Frédérick Blanchet;Michal Boniecki;Janusz M. Bujnicki;Janusz M. Bujnicki.
RNA (2012)

246 Citations

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