Quantitative Biology Center

15.6k citations
305 papers ·

Impact in

    • Genomics and Phylogenetic Studies
    • Epigenetics and DNA Methylation
    • vaccines and immunoinformatics approaches
    • Protein Structure and Dynamics
    • Metabolomics and Mass Spectrometry Studies
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications

Papers in

Quantitative Biology Center

294 papers receiving 15.6k citations

Peers

Quantitative Biology Center
Comparison fields: 5 of 198
  • Molecular Biology 6.3k
  • Spectroscopy 1.6k
  • Health Informatics 112
  • Oncology 1k
  • Immunology 871
Replace Life Science Zurich with:
Life Science Zurich Switzerland
GlaxoSmithKline (Germany) Germany
Netherlands Metabolomics Centre Netherlands
Center for Molecular and Cellular Bioengineering Germany
Theories and Approaches of Genomic Complexity France
Center for Genomic Science Italy
Mosaiques Diagnostics and Therapeutics (Germany) Germany
Institute of Translational Medicine Switzerland
Swiss Centre for Applied Human Toxicology
Biologie Computationnelle, Quantitative et Synthétique France
Quantitative Biology Center relative to Life Science Zurich Switzerland Life Science Zurich's profile →
Citations per field
00.5×1.5×2.1×
Life Science Zurich · 1×
Citations per year

Countries citing scholars working at Quantitative Biology Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Quantitative Biology Center. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Quantitative Biology Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantitative Biology Center more than expected).

Fields of papers published by authors at Quantitative Biology Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Quantitative Biology Center at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Quantitative Biology Center at the time of their publication.

About Quantitative Biology Center

In recent decades, authors affiliated with Quantitative Biology Center have published 305 papers, which have received a total of 15.6k indexed citations . Scholars at this organization have produced 40 papers in Spectroscopy, 18 papers in Information Systems and Management, 115 papers in Molecular Biology, 12 papers in Genetics and 10 papers in Environmental Chemistry on the topics of Advanced Proteomics Techniques and Applications (34 papers), vaccines and immunoinformatics approaches (24 papers), Genomics and Phylogenetic Studies (20 papers), Scientific Computing and Data Management (17 papers), Immunotherapy and Immune Responses (15 papers), Cancer Immunotherapy and Biomarkers (14 papers), Microfluidic and Capillary Electrophoresis Applications (12 papers) and Protein Structure and Dynamics (12 papers). Their work is cited by papers focused on Molecular Biology (6.3k citations), Spectroscopy (1.6k citations), Health Informatics (112 citations), Oncology (1k citations) and Immunology (871 citations). Authors at Quantitative Biology Center collaborate with scholars in Germany, United States and Japan and have published in prestigious journals including Bioinformatics, Molecular & Cellular Proteomics, Nature Communications, Journal of Proteome Research and Physical Chemistry Chemical Physics. Some of Quantitative Biology Center's most productive authors include Oliver Kohlbacher, Sven Nahnsen, Andreas Wilm, Alexander Peltzer, Maxime Ulysse Garcia, Sven Fillinger, Paolo Di Tommaso, Philip Ewels, Harshil Patel and Johannes Alneberg.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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