Michael Römer

429 citations
16 papers · 297 · h-index 11

Impact in

Papers in

    • Bioinformatics and Genomic Networks 4
    • Gene expression and cancer classification 3
    • Microbial Metabolic Engineering and Bioproduction 2
    • Molecular Biology Techniques and Applications 2
    • Ion channel regulation and function 2
    • vaccines and immunoinformatics approaches 2

Michael Römer

16 papers receiving 290 citations

Peers

Michael Römer
Comparison fields: 5 of 86
  • Sensory Systems 25
  • Cancer Research 52
  • Pharmacology 26
  • Molecular Biology 204
  • Immunology 45
Replace Ding Ma with:
Ding Ma China
Aru Singh India
Yuki Nagano Japan
Vijayabaskar Lakshmikanthan United States
Changpeng Han China
Yanli Xing China
Tamara Vervloessem Belgium
Nicholas J. Carruthers United States
Fuyun Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Michael Römer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Römer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Römer, 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 Michael Römer Line = papers co-authored together Michael Römer links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200570
2 201436
3 201431
4 201824
5 201121
6 201618
7 202118
8 201516
9 201615
10 201415
11 201711
12 20057
13
Prognostic Enhancements to Naval Condition-Based Maintenance Systems
20016
14 20145
15
Assessment of Data and Knowledge Fusion Strategies for Diagnostics and Prognostics
20013
16 20171

About Michael Römer

Michael Römer is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Genetics, having authored 16 papers that have together received 297 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Computational Drug Discovery Methods (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Molecular Biology Techniques and Applications (2 papers), Ion channel regulation and function (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Sensory Systems (25 citations), Cancer Research (52 citations), Pharmacology (26 citations), Molecular Biology (204 citations) and Immunology (45 citations). Michael Römer has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Andreas Zell, Johannes Eichner, Wolfram Keßler, Christian Stock, Volodymyr Nechyporuk‐Zloy, Christoph Schulz, Albrecht Schwab, Markus F. Templin, Heidrun Ellinger‐Ziegelbauer and Ute Metzger. Their work appears in journals such as PLoS ONE, Journal of Cellular Physiology, Archives of Toxicology, Molecular & Cellular Proteomics and Neurogastroenterology & Motility.

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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