D-Index & Metrics Best Publications
Michael Schroeder

Michael Schroeder

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
Computer Science D-index 34 Citations 7,506 133 World Ranking 6156 National Ranking 296

Research.com Recognitions

Awards & Achievements

2004 - ACM Fellow For contributions to distributed computing systems, security, and networking.

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Artificial intelligence
  • Programming language

Michael Schroeder mainly focuses on Bioinformatics, Protein structure, Computational biology, Information retrieval and Genetics. His Bioinformatics research is multidisciplinary, relying on both Plasma protein binding, Web service, Data mining, Source code and Software. His Protein structure research is multidisciplinary, incorporating perspectives in Protein domain, Database, Sequence alignment and Binding site.

His studies in Computational biology integrate themes in fields like Lipidome, Shotgun, Drug repositioning, DNA microarray and Drug discovery. His study in the field of Search engine indexing and Ontology also crosses realms of Mass spectrum. His Ontology study combines topics from a wide range of disciplines, such as Controlled vocabulary and Gene ontology.

His most cited work include:

  • PLIP: fully automated protein–ligand interaction profiler (556 citations)
  • GoPubMed : exploring pubMed with the Gene Ontology (441 citations)
  • LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation (363 citations)

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

His primary areas of study are Computational biology, Information retrieval, Ontology, Artificial intelligence and World Wide Web. The Computational biology study combines topics in areas such as Genetics, Protein–protein interaction, Drug repositioning, DNA microarray and Protein structure. His research in Protein structure intersects with topics in Binding site and Sequence alignment.

His research combines Text mining and Information retrieval. His Ontology research incorporates themes from Ontology and Controlled vocabulary. His Artificial intelligence study incorporates themes from Machine learning and Natural language processing.

He most often published in these fields:

  • Computational biology (17.51%)
  • Information retrieval (14.40%)
  • Ontology (12.84%)

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

  • Computational biology (17.51%)
  • Drug repositioning (6.61%)
  • Drug (4.67%)

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

Michael Schroeder focuses on Computational biology, Drug repositioning, Drug, Protein structure and Amino acid. Michael Schroeder carries out multidisciplinary research, doing studies in Computational biology and Network analysis. His study in Drug repositioning is interdisciplinary in nature, drawing from both Cancer research, Chagas disease and Drug discovery.

His work on Drug development as part of general Drug study is frequently linked to Structure based, therefore connecting diverse disciplines of science. His work on Protein Data Bank as part of general Protein structure research is frequently linked to Glycan, thereby connecting diverse disciplines of science. He studied Amino acid and Sequence that intersect with Stereochemistry and Sequence alignment.

Between 2015 and 2021, his most popular works were:

  • Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory. (39 citations)
  • UniLectin3D, a database of carbohydrate binding proteins with curated information on 3D structures and interacting ligands (31 citations)
  • New HSP27 inhibitors efficiently suppress drug resistance development in cancer cells (30 citations)

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

  • Gene
  • Artificial intelligence
  • Programming language

Michael Schroeder spends much of his time researching Drug repositioning, Protein structure, Drug, Computational biology and Binding site. He interconnects Amino acid, Function, Protein biosynthesis, Structural motif and Stereochemistry in the investigation of issues within Protein structure. His Drug research includes themes of Chagas disease and Neglected Disease.

Michael Schroeder works on Computational biology which deals in particular with Systems biology. His Binding site research is multidisciplinary, incorporating elements of Structure–activity relationship, Protein Data Bank and Enzyme. His Pharmacology study deals with Heat shock protein intersecting with Drug resistance.

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

PLIP: fully automated protein–ligand interaction profiler

Sebastian Salentin;Sven Schreiber;V. Joachim Haupt;Melissa F. Adasme.
Nucleic Acids Research (2015)

714 Citations

GoPubMed : exploring pubMed with the Gene Ontology

Andreas Doms;Michael Schroeder.
Nucleic Acids Research (2005)

639 Citations

LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation

Bingding Huang;Michael Schroeder.
BMC Structural Biology (2006)

506 Citations

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

George Tsatsaronis;Georgios Balikas;Prodromos Malakasiotis;Ioannis Partalas.
BMC Bioinformatics (2015)

297 Citations

SuperCYP: a comprehensive database on Cytochrome P450 enzymes including a tool for analysis of CYP-drug interactions

Saskia Preissner;Katharina Kroll;Mathias Dunkel;Christian Senger.
Nucleic Acids Research (2010)

282 Citations

Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction

Zengming Zhang;Yu Li;Biaoyang Lin;Michael Schroeder.
Bioinformatics (2011)

279 Citations

A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language

Ronny Herzog;Ronny Herzog;Dominik Schwudke;Dominik Schwudke;Kai Schuhmann;Kai Schuhmann;Julio L Sampaio.
Genome Biology (2011)

267 Citations

A roadmap of clustering algorithms: finding a match for a biomedical application

Bill Andreopoulos;Aijun An;Xiaogang Wang;Michael Schroeder.
Briefings in Bioinformatics (2008)

255 Citations

LipidXplorer: a software for consensual cross-platform lipidomics.

Ronny Herzog;Kai Schuhmann;Dominik Schwudke;Julio L. Sampaio.
PLOS ONE (2012)

224 Citations

SCOPPI: a structural classification of protein–protein interfaces

Christof Winter;Andreas Henschel;Wan Kyu Kim;Michael Schroeder.
Nucleic Acids Research (2006)

199 Citations

Best Scientists Citing Michael Schroeder

Andrej Shevchenko

Andrej Shevchenko

Max Planck Society

Publications: 46

Ruth Nussinov

Ruth Nussinov

U.S. Department of Health and Human Services

Publications: 29

Ulf Leser

Ulf Leser

Humboldt-Universität zu Berlin

Publications: 22

Kai Simons

Kai Simons

Lipotype

Publications: 21

Ozlem Keskin

Ozlem Keskin

Koç University

Publications: 19

Dietrich Rebholz-Schuhmann

Dietrich Rebholz-Schuhmann

National University of Ireland, Galway

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Zhiyong Lu

Zhiyong Lu

National Institutes of Health

Publications: 17

Simon Parsons

Simon Parsons

University of Lincoln

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Lukasz Kurgan

Lukasz Kurgan

Virginia Commonwealth University

Publications: 14

Robert Hoehndorf

Robert Hoehndorf

King Abdullah University of Science and Technology

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Jeffrey Skolnick

Jeffrey Skolnick

Georgia Institute of Technology

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Patrick Ruch

Patrick Ruch

Swiss Institute of Bioinformatics

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Domonkos Tikk

Domonkos Tikk

Gravity Research & Development Zrt.

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Jun'ichi Tsujii

Jun'ichi Tsujii

National Institute of Advanced Industrial Science and Technology

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Igor Jurisica

Igor Jurisica

University Health Network

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Bruno O. Villoutreix

Bruno O. Villoutreix

Inserm : Institut national de la santé et de la recherche médicale

Publications: 11

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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