Stefan Budach

474 citations
5 papers · 257 · h-index 4

Impact in

    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • RNA modifications and cancer
    • Machine Learning in Bioinformatics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing

Papers in

    • Genomics and Phylogenetic Studies 1
    • Epigenetics and DNA Methylation 1
    • Gene expression and cancer classification 1
    • RNA modifications and cancer 1
    • Bioinformatics and Genomic Networks 1
    • RNA Research and Splicing 1
    • Cancer-related molecular mechanisms research 2
    • MicroRNA in disease regulation 1

Stefan Budach

5 papers receiving 255 citations

Peers

Stefan Budach
Comparison fields: 5 of 46
  • Cancer Research 44
  • Molecular Biology 191
  • Computational Theory and Mathematics 27
  • Biophysics 9
  • Artificial Intelligence 28
Replace Pooya Zakeri with:
Pooya Zakeri Belgium
Jessica Xin Hu Denmark
Z. Hu United States
Binhua Tang China
Mathias Krull Germany
Jiu-Xin Tan China
Jack P. Hou United States
Ruijiang Li China
Stefan Budach relative to Pooya Zakeri Belgium Pooya Zakeri's profile →
Citations per field
00.5×1.5×1.8×
Pooya Zakeri · 1×
Citations per year

Countries citing papers authored by Stefan Budach

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Budach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Budach. 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 Stefan Budach. The network helps show where Stefan Budach may publish in the future.

Co-authors

The 9 scholars most cited alongside Stefan Budach, 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 Stefan Budach Line = papers co-authored together Stefan Budach links everyone, so they are left out of the graph.

All Works

About Stefan Budach

Stefan Budach is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 257 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (2 papers), Genomics and Phylogenetic Studies (1 paper), Epigenetics and DNA Methylation (1 paper), MicroRNA in disease regulation (1 paper), Gene expression and cancer classification (1 paper), RNA modifications and cancer (1 paper), Bioinformatics and Genomic Networks (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Cancer Research (44 citations), Molecular Biology (191 citations), Computational Theory and Mathematics (27 citations), Biophysics (9 citations) and Artificial Intelligence (28 citations). Stefan Budach has collaborated with scholars based in Germany, Greece and Belgium. Frequent co-authors include Annalisa Marsico, Denes Hnisz, Annalisa Marsico, Matthias Heinig, René Rahn, Knut Reinert, Pascal Costanza, Evgenia Ntini and Ulf Andersson Ørom. Their work appears in journals such as Bioinformatics, Genetics, Cell Systems and Nature Machine Intelligence.

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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