World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
19824
World Ranking
4445
National Ranking
5

Overview

Reinhard Schneider is affiliated with the University of Luxembourg in Luxembourg. Their research spans multiple disciplines within biochemistry, genetics, and molecular biology, with significant contributions to medicine as well.

The scientist's primary research areas include:

  • Bioinformatics and Genomic Networks
  • Microbial Metabolic Engineering and Bioproduction
  • Computational Drug Discovery Methods
  • Gene Regulatory Network Analysis
  • Cell Image Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Scientific Computing and Data Management

Within subfields, their work is concentrated mainly in molecular biology but also extends to computational theory and mathematics, biophysics, pharmacology, and information systems and management.

Significant recent papers include:

  • PredictProtein - Predicting Protein Structure and Function for 29 Years (2021, Nucleic Acids Research)
  • COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms (2020, Scientific Data)
  • A 6-month randomized, double-blind, placebo-controlled trial of weekly exenatide in adolescents with obesity (2020, Pediatric Obesity)
  • Long Non-coding RNAs: Mechanisms, Experimental, and Computational Approaches in Identification, Characterization, and Their Biomarker Potential in Cancer (2021, Frontiers in Genetics)
  • Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease (2022, Genome Medicine)

Some of their frequent coauthors include:

  • Venkata Satagopam
  • Marek Ostaszewski
  • Alexander Mazein
  • Ahmed Abdelmonem Hemedan
  • Christophe Trefois

Reinhard Schneider has published notably in a range of academic venues, especially:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Data
  • Faculty of 1000 Research Ltd
  • Frontiers in Bioinformatics
  • Frontiers in Immunology

Among their scholarly contributions is a book published with oekom verlag titled Die Ablenkungsfalle; Die versteckten Tricks der Ökologie-Bremser. Wie wir unsere Umwelt nicht länger aufs Spiel setzen (2023).

Best Publications

  • Database of homology-derived protein structures and the structural meaning of sequence alignment.

    Chris Sander;Reinhard Schneider

  • A series of PDB related databases for everyday needs.

    Robbie P. Joosten;Tim A.H. te Beek;Elmar Krieger;Maarten L. Hekkelman

  • Selection of representative protein data sets

    Uwe Hobohm;Michael Scharf;Reinhard Schneider;Chris Sander

  • Correlated mutations and residue contacts in proteins.

    Ulrike Göbel;Chris Sander;Reinhard Schneider;Alfonso Valencia

  • PHD - AN AUTOMATIC MAIL SERVER FOR PROTEIN SECONDARY STRUCTURE PREDICTION

    Burkhard Rost;Chris Sander;Reinhard Schneider

  • Using graph theory to analyze biological networks

    Georgios A Pavlopoulos;Georgios A Pavlopoulos;Maria Secrier;Charalampos N Moschopoulos;Charalampos N Moschopoulos;Theodoros G Soldatos

  • Visualization of omics data for systems biology

    Nils Gehlenborg;Seán I O'Donoghue;Nitin S Baliga;Alexander Goesmann

  • SuperTarget and Matador: resources for exploring drug-target relationships

    Stefan Günther;Michael Kuhn;Mathias Dunkel;Monica Campillos

  • COMPARTMENTS: unification and visualization of protein subcellular localization evidence

    Janos X. Binder;Sune Pletscher-Frankild;Kalliopi Tsafou;Christian Stolte

  • PredictProtein—an open resource for online prediction of protein structural and functional features

    Guy Yachdav;Edda Kloppmann;Laszlo Kajan;Maximilian Hecht

  • Redefining the goals of protein secondary structure prediction.

    Burkhard Rost;Chris Sander;Reinhard Schneider

  • The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease.

    Alberto Noronha;Jennifer Modamio;Yohan Jarosz;Elisabeth Guerard

  • PROTEIN FOLD RECOGNITION BY PREDICTION-BASED THREADING

    Burkhard Rost;Reinhard Schneider;Chris Sander

  • EnrichNet: network-based gene set enrichment analysis

    Enrico Glaab;Anaïs Baudot;Natalio Krasnogor;Reinhard Schneider

  • Making sense of big data in health research: Towards an EU action plan

    Charles Auffray;Charles Auffray;Rudi Balling;Inês Barroso;László Bencze

  • The HSSP database of protein structure—sequence alignments and family profiles

    Chris Dodge;Reinhard Schneider;Chris Sander

  • Biomarkers of postoperative delirium and cognitive dysfunction.

    Ganna Androsova;Roland Krause;Georg Winterer;Reinhard Schneider

  • A survey of visualization tools for biological network analysis

    Georgios A Pavlopoulos;Anna-Lynn Wegener;Reinhard Schneider

  • PredictProtein - Predicting Protein Structure and Function for 29 Years

    Michael Bernhofer;Christian Dallago;Tim Karl;Venkata Satagopam

  • The HSSP Database of Protein Structure-Sequence Alignments

    Reinhard Schneider;Chris Sander

Frequent Co-Authors

Chris Sander
Chris Sander Harvard University
Rudi Balling
Rudi Balling University of Bonn
Burkhard Rost
Burkhard Rost Technical University of Munich
Samarjit Chakraborty
Samarjit Chakraborty University of North Carolina at Chapel Hill
Hiroaki Kitano
Hiroaki Kitano Okinawa Institute of Science and Technology
Ronan M. T. Fleming
Ronan M. T. Fleming Leiden University
Peer Bork
Peer Bork European Molecular Biology Laboratory
Christoph Bock
Christoph Bock Austrian Academy of Sciences
Pascal Bouvry
Pascal Bouvry University of Luxembourg
Charles Auffray
Charles Auffray Centre national de la recherche scientifique, CNRS

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