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D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
10520
World Ranking
3621
National Ranking
114

Overview

Jan Baumbach is affiliated with Universität Hamburg in Germany and has established a research profile with extensive contributions in the areas of biochemistry, genetics, and molecular biology. Their academic output includes significant work in molecular biology, artificial intelligence, genetics, cancer research, and computational theory and mathematics.

The scientist's main fields of study encompass biochemistry, genetics, and molecular biology with 354 publications, as well as medicine with 135 publications. Their subfield focus is detailed further into molecular biology with 278 publications, artificial intelligence with 44, genetics with 28, cancer research with 26, and computational theory and mathematics with 19 publications.

Key topics in Jan Baumbach's research portfolio are:

  • Bioinformatics and Genomic Networks
  • Gene expression and cancer classification
  • RNA Research and Splicing
  • Privacy-Preserving Technologies in Data
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • Metabolomics and Mass Spectrometry Studies

Frequent publication venues emphasize preprint and peer-reviewed platforms including:

  • bioRxiv (Cold Spring Harbor Laboratory) with 40 publications
  • arXiv (Cornell University) with 14 publications
  • Bioinformatics with 13 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 8 publications
  • Nucleic Acids Research with 6 publications

Jan Baumbach has coauthored extensively with various researchers, primarily collaborating with:

  • Markus List (92 collaborations)
  • Tim Kacprowski (59 collaborations)
  • Olga Tsoy (44 collaborations)
  • David B. Blumenthal (27 collaborations)
  • Uwe Völker (24 collaborations)

Notable papers authored or coauthored by Jan Baumbach include:

  • Mass-spectrometry-based draft of the Arabidopsis proteome, 2020, Nature
  • Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing, 2021, mSphere
  • Network analysis methods for studying microbial communities: A mini review, 2021, Computational and Structural Biotechnology Journal
  • Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes, 2020, Cell Host & Microbe
  • Molecular networks in Network Medicine: Development and applications, 2020, WIREs Systems Biology and Medicine

Best Publications

  • Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology

    Gregor Sturm;Francesca Finotello;Florent Petitprez;Jitao David Zhang

  • clusterMaker: a multi-algorithm clustering plugin for Cytoscape

    John H Morris;Leonard Apeltsin;Aaron M Newman;Jan Baumbach

  • AltAnalyze and DomainGraph: analyzing and visualizing exon expression data

    Dorothea Emig;Nathan Salomonis;Jan Baumbach;Thomas Lengauer

  • Network analysis methods for studying microbial communities: A mini review.

    Monica Steffi Matchado;Michael Lauber;Sandra Reitmeier;Tim Kacprowski;Tim Kacprowski

  • Comparing the performance of biomedical clustering methods

    Christian Wiwie;Jan Baumbach;Richard Röttger

  • Graph-based analysis and visualization of experimental results with ONDEX

    Jacob Köhler;Jan Baumbach;Jan Taubert;Michael Specht

  • From single drug targets to synergistic network pharmacology in ischemic stroke.

    Ana I. Casas;Ahmed A. Hassan;Simon J. Larsen;Vanessa Gomez-Rangel

  • Current breathomics--a review on data pre-processing techniques and machine learning in metabolomics breath analysis.

    A Smolinska;A-Ch Hauschild;R R R Fijten;J W Dallinga

  • The Economic Impact of Artificial Intelligence in Health Care: Systematic Review.

    Justus Wolff;Josch Pauling;Andreas Keck;Jan Baumbach

  • Osteogenesis depends on commissioning of a network of stem cell transcription factors that act as repressors of adipogenesis.

    Alexander Rauch;Anders K Haakonsson;Jesper G S Madsen;Mette Larsen

  • Molecular networks in Network Medicine: Development and applications.

    Edwin K. Silverman;Harald H. H. W. Schmidt;Eleni Anastasiadou;Lucia Altucci

  • Long-term instability of the intestinal microbiome is associated with metabolic liver disease, low microbiota diversity, diabetes mellitus and impaired exocrine pancreatic function.

    Fabian Frost;Tim Kacprowski;Malte Rühlemann;Maik Pietzner

  • GIPSy: Genomic island prediction software

    Siomar C Soares;Hakan Geyik;Hakan Geyik;Rommel T J Ramos;Pablo H C G de Sá

  • Partitioning biological data with transitivity clustering.

    Tobias Wittkop;Tobias Wittkop;Tobias Wittkop;Dorothea Emig;Sita J. Lange;Sven Rahmann

  • Network medicine for disease module identification and drug repurposing with the NeDRex platform.

    Sepideh Sadegh;Sepideh Sadegh;James Skelton;Elisa Anastasi;Judith Bernett

  • Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.

    Franziska Hufsky;Kevin Lamkiewicz;Alexandre Almeida;Abdel Aouacheria

  • Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies

    Gihanna Galindez;Julian Matschinske;Tim Daniel Rose;Sepideh Sadegh

  • The GlxR regulon of the amino acid producer Corynebacterium glutamicum: in silico and in vitro detection of DNA binding sites of a global transcription regulator.

    Thomas A. Kohl;Jan Baumbach;Britta Jungwirth;Alfred Pühler

  • PanRV: Pangenome-reverse vaccinology approach for identifications of potential vaccine candidates in microbial pangenome.

    Kanwal Naz;Anam Naz;Shifa Tariq Ashraf;Muhammad Rizwan

  • Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

    Unknown

  • Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing

    Tobias Wittkop;Jan Baumbach;Francisco Pereira Lobo;Francisco Pereira Lobo;Sven Rahmann

  • PIPS: Pathogenicity Island Prediction Software

    Siomar C. Soares;Vinícius A. C. Abreu;Rommel T. J. Ramos;Louise Cerdeira

  • Exact and heuristic algorithms for weighted cluster editing.

    Sven Rahmann;Tobias Wittkop;Jan Baumbach;Marcel Martin

Frequent Co-Authors

Vasco Azevedo
Vasco Azevedo Universidade Federal de Minas Gerais
Harald H.H.W. Schmidt
Harald H.H.W. Schmidt Maastricht University
Andreas Tauch
Andreas Tauch Bielefeld University
Henrik J. Ditzel
Henrik J. Ditzel University of Southern Denmark
Mads Thomassen
Mads Thomassen Odense University Hospital
Jiong Guo
Jiong Guo Shandong University
Lene Christiansen
Lene Christiansen University of Southern Denmark
Richard Reynolds
Richard Reynolds Imperial College London
Kaare Christensen
Kaare Christensen University of Southern Denmark
Gary D. Bader
Gary D. Bader University of Toronto

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