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
Biology and Biochemistry D-index 45 Citations 6,539 173 World Ranking 15846 National Ranking 31

Overview

What is he best known for?

The fields of study Stavros J. Hamodrakas is best known for:

  • Gene
  • Amino acid
  • Enzyme

Signal peptide and Protein sequencing are the main areas of his Peptide sequence studies. Much of his study explores Signal peptide relationship to Peptide sequence. He connects Biochemistry with Protein sequencing in his study. In his works, Stavros J. Hamodrakas undertakes multidisciplinary study on Computational biology and Bioinformatics. In his research, he undertakes multidisciplinary study on Bioinformatics and Computational biology. He combines Gene and Function (biology) in his research. His study brings together the fields of Genetics and Function (biology). His Sequence (biology) research extends to the thematically linked field of Genetics. In most of his Sequence (biology) studies, his work intersects topics such as Biochemistry.

His most cited work include:

  • PRED-TMBB: a web server for predicting the topology of -barrel outer membrane proteins (322 citations)
  • Amyloids protect the silkmoth oocyte and embryo (184 citations)
  • None (167 citations)

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

Stavros J. Hamodrakas integrates Biochemistry with Cell biology in his research. He performs integrative study on Gene and Peptide sequence. Stavros J. Hamodrakas merges Peptide sequence with Gene in his study. Stavros J. Hamodrakas conducts interdisciplinary study in the fields of Computational biology and Bioinformatics through his research. His multidisciplinary approach integrates Bioinformatics and Computational biology in his work. In his articles, Stavros J. Hamodrakas combines various disciplines, including Genetics and Genome. Stavros J. Hamodrakas integrates many fields in his works, including Genome and Genetics. His Biophysics study frequently involves adjacent topics like Fibril. His work on Receptor is being expanded to include thematically relevant topics such as Transmembrane protein.

Stavros J. Hamodrakas most often published in these fields:

  • Biochemistry (67.54%)
  • Gene (44.74%)
  • Computational biology (35.96%)

What were the highlights of his more recent work (between 2014-2019)?

  • Biochemistry (86.67%)
  • Biophysics (60.00%)
  • Inorganic chemistry (53.33%)

In recent works Stavros J. Hamodrakas was focusing on the following fields of study:

Stavros J. Hamodrakas connects Biochemistry with Computational biology in his research. In his works, he undertakes multidisciplinary study on Computational biology and Biochemistry. He merges Biophysics with Cell biology in his study. In his research, he undertakes multidisciplinary study on Cell biology and Biophysics. His Amyloid (mycology) research extends to the thematically linked field of Inorganic chemistry. Amyloid (mycology) and Inorganic chemistry are frequently intertwined in his study. He undertakes interdisciplinary study in the fields of Fibril and Peptide through his research. In his research, Stavros J. Hamodrakas performs multidisciplinary study on Peptide and Fibril. In his work, Stavros J. Hamodrakas performs multidisciplinary research in Organic chemistry and Polymer.

Between 2014 and 2019, his most popular works were:

  • Multifaceted biological insights from a draft genome sequence of the tobacco hornworm moth, Manduca sexta (135 citations)
  • A common ‘aggregation-prone’ interface possibly participates in the self-assembly of human zona pellucida proteins (28 citations)
  • Chameleon ‘aggregation-prone’ segments of apoA-I: A model of amyloid fibrils formed in apoA-I amyloidosis (25 citations)

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

  • Gene
  • Manduca sexta
  • Genetics

His work on Organic chemistry is being expanded to include thematically relevant topics such as Self-assembly and Dimer. His research on Dimer frequently connects to adjacent areas such as Organic chemistry. His Transmembrane domain research incorporates a variety of disciplines, including Transmembrane protein and G protein-coupled receptor. Transmembrane protein and Transmembrane domain are two areas of study in which Stavros J. Hamodrakas engages in interdisciplinary work. His Biophysics study frequently intersects with other fields, such as Fibril. His study in Biophysics extends to Fibril with its themes. In most of his Biochemistry studies, his work intersects topics such as Ligand (biochemistry). He undertakes interdisciplinary study in the fields of Ligand (biochemistry) and Receptor through his research. In his articles, Stavros J. Hamodrakas combines various disciplines, including Receptor and G protein-coupled receptor.

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

PRED-TMBB: a web server for predicting the topology of β-barrel outer membrane proteins

Pantelis G. Bagos;Theodore D. Liakopoulos;Ioannis C. Spyropoulos;Stavros J. Hamodrakas.
Nucleic Acids Research (2004)

426 Citations

A consensus method for the prediction of 'aggregation-prone' peptides in globular proteins.

Antonios C. Tsolis;Nikos C. Papandreou;Vassiliki A. Iconomidou;Stavros J. Hamodrakas.
PLOS ONE (2013)

266 Citations

Cytokine gene polymorphisms in periodontal disease: a meta-analysis of 53 studies including 4178 cases and 4590 controls.

Georgios K. Nikolopoulos;Niki L. Dimou;Stavros J. Hamodrakas;Pantelis G. Bagos;Pantelis G. Bagos.
Journal of Clinical Periodontology (2008)

232 Citations

Amyloids protect the silkmoth oocyte and embryo

Vassiliki A. Iconomidou;Gert Vriend;Stavros J. Hamodrakas.
FEBS Letters (2000)

220 Citations

A Hidden Markov Model method, capable of predicting and discriminating β-barrel outer membrane proteins

Pantelis G Bagos;Theodore D Liakopoulos;Ioannis C Spyropoulos;Stavros J Hamodrakas.
BMC Bioinformatics (2004)

215 Citations

A novel method for predicting transmembrane segments in proteins based on a statistical analysis of the SwissProt database: the PRED-TMR algorithm

C. Pasquier;V.J. Promponas;G.A. Palaios;J.S. Hamodrakas.
Protein Engineering (1999)

207 Citations

CAST: an iterative algorithm for the complexity analysis of sequence tracts

Vasilis J. Promponas;Anton J. Enright;Sophia Tsoka;David P. Kreil.
Bioinformatics (2000)

202 Citations

TMRPres2D: high quality visual representation of transmembrane protein models

Ioannis C. Spyropoulos;Theodore D. Liakopoulos;Pantelis G. Bagos;Stavros J. Hamodrakas.
Bioinformatics (2004)

170 Citations

Amyloidogenic determinants are usually not buried.

Kimon K Frousios;Vassiliki A Iconomidou;Carolina-Maria Karletidi;Stavros J Hamodrakas.
BMC Structural Biology (2009)

157 Citations

Multifaceted biological insights from a draft genome sequence of the tobacco hornworm moth, Manduca sexta

Michael R. Kanost;Estela L. Arrese;Xiaolong Cao;Yun Ru Chen.
Insect Biochemistry and Molecular Biology (2016)

143 Citations

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