Maurice Scheer
Impact in
- Molecular Biology top 2%
- vaccines and immunoinformatics approaches
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Biotechnology top 2%
Papers in
-
- Genomics and Phylogenetic Studies 4
- Microbial Metabolic Engineering and Bioproduction 4
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 2
- Bacterial biofilms and quorum sensing 2
- RNA modifications and cancer 2
- Gene Regulatory Network Analysis 2
- Genetics 3
- Co-authors
- Andreas Grote (9 shared papers)Dieter Jahn (7 shared papers)Richard Münch (6 shared papers)Karsten Hiller (5 shared papers)Bernd Nörtemann (1 shared paper)D. C. Hempel (1 shared paper)Dietmar Schomburg (6 shared papers)A. Chang (3 shared papers)
- Journals
- Nucleic Acids Research (8 papers)mBio (1 paper)Microbiology (1 paper)Bioinformatics (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Maurice Scheer
15 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 2.6k
- Biotechnology 257
- Endocrinology 143
- Microbiology 129
- Molecular Medicine 91
Countries citing papers authored by Maurice Scheer
This map shows the geographic impact of Maurice Scheer'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 Maurice Scheer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurice Scheer more than expected).
Fields of papers citing papers by Maurice Scheer
This network shows the impact of papers produced by Maurice Scheer. 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 Maurice Scheer. The network helps show where Maurice Scheer may publish in the future.
Co-authors
The 25 scholars most cited alongside Maurice Scheer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | JCat: a novel tool to adapt codon usage of a target gene to its potential expression host Hit paper breakdown → | 2005 | 1143 |
| 2 | 2004 | 377 | |
| 3 | 2010 | 326 | |
| 4 | 2012 | 309 | |
| 5 | 2005 | 305 | |
| 6 | 2008 | 294 | |
| 7 | 2010 | 136 | |
| 8 | 2010 | 131 | |
| 9 | 2013 | 76 | |
| 10 | 2007 | 41 | |
| 11 | 2013 | 37 | |
| 12 | 2006 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2011 | 22 | |
| 15 | 2000 | 7 |
About Maurice Scheer
Maurice Scheer is a scholar working on Molecular Biology, Genetics, Ecology, Organic Chemistry and Automotive Engineering, having authored 15 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (2 papers), Bacterial biofilms and quorum sensing (2 papers), RNA modifications and cancer (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Biotechnology (257 citations), Endocrinology (143 citations), Microbiology (129 citations) and Molecular Medicine (91 citations). Maurice Scheer has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Andreas Grote, Dieter Jahn, Richard Münch, Karsten Hiller, Bernd Nörtemann, D. C. Hempel, Dietmar Schomburg, A. Chang, Max Schobert and Carola Söhngen. Their work appears in journals such as Nucleic Acids Research, mBio, Microbiology, Bioinformatics and PLoS ONE.
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.