Manfred Roos

1.7k citations
4 papers · 1.4k · 1 hit paper · h-index 4

Impact in

    • Bioinformatics and Genomic Networks
    • Machine Learning in Bioinformatics
    • Protein Structure and Dynamics
    • Genomics and Phylogenetic Studies
    • Biomedical Text Mining and Ontologies

Papers in

    • Machine Learning in Bioinformatics 3
    • Genomics and Phylogenetic Studies 3
    • Bioinformatics and Genomic Networks 2
    • Protein Structure and Dynamics 2
    • Enzyme Structure and Function 1

Manfred Roos

4 papers receiving 1.3k citations

Manfred Roos's Hit Papers

A large-scale evaluation of computational protein function prediction 2013 · 757 citations
7570+4+8Years since publication250500750

Peers

Manfred Roos
Comparison fields: 5 of 99
  • Molecular Biology 962
  • Endocrinology 13
  • Genetics 90
  • Microbiology 16
  • Computational Theory and Mathematics 39
Replace Peter Hönigschmid with:
Peter Hönigschmid Germany
László Kaján Germany
Benoît Bely United Kingdom
Marco Falda Italy
S. Braconi Quintaje Switzerland
Jeramia J. Ory United States
Andrea Schafferhans Germany
Tobias Hamp Germany
Miquel Orobitg Spain
Tony E. Lewis United Kingdom
Manfred Roos relative to Peter Hönigschmid Germany Peter Hönigschmid's profile →
Citations per field
00.5×1.5×
Peter Hönigschmid · 1×
Citations per year

Countries citing papers authored by Manfred Roos

Since Specialization
Citations

This map shows the geographic impact of Manfred Roos's research. 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 Manfred Roos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manfred Roos more than expected).

Fields of papers citing papers by Manfred Roos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manfred Roos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Manfred Roos. The network helps show where Manfred Roos may publish in the future.

Co-authors

The 25 scholars most cited alongside Manfred Roos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manfred Roos Line = papers co-authored together Manfred Roos links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Manfred Roos

Manfred Roos is a scholar working on Molecular Biology, Materials Chemistry, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 4 papers that have together received 1.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (2 papers), Protein Structure and Dynamics (2 papers) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Molecular Biology (962 citations), Endocrinology (13 citations), Genetics (90 citations), Microbiology (16 citations) and Computational Theory and Mathematics (39 citations). Manfred Roos has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Burkhard Rost, Andrea Schafferhans, Peter Hönigschmid, Tobias Hamp, Maximilian Hecht, Guy Yachdav, Michael Bernhofer, Nir Ben‐Tal, Edda Kloppmann and Tatyana Goldberg. Their work appears in journals such as Nature Methods, Nucleic Acids Research and BMC Bioinformatics.

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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