Ruben Heck
Impact in
-
- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- Genomics and Phylogenetic Studies
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 6
- Gene Regulatory Network Analysis 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
-
- Biofuel production and bioconversion 2
- Co-authors
- Vítor A. P. Martins dos Santos (9 shared papers)Peter J. Schaap (5 shared papers)Pablo I. Nikel (2 shared papers)Vı́ctor de Lorenzo (1 shared paper)Stéphane Cruveiller (1 shared paper)Agnieszka Sekowska (1 shared paper)Eugeni Belda (1 shared paper)David Vallenet (1 shared paper)
- Journals
- Microbiome (1 paper)PeerJ (1 paper)ACS Synthetic Biology (1 paper)Microbial Cell Factories (1 paper)Trends in biotechnology (1 paper)
- Partner nations
- NetherlandsSwitzerlandGermany
In The Last Decade
Ruben Heck
11 papers receiving 501 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 361
- Biotechnology 39
- Pollution 38
- Genetics 85
- Biomedical Engineering 120
Countries citing papers authored by Ruben Heck
This map shows the geographic impact of Ruben Heck'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 Ruben Heck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruben Heck more than expected).
Fields of papers citing papers by Ruben Heck
This network shows the impact of papers produced by Ruben Heck. 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 Ruben Heck. The network helps show where Ruben Heck may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruben Heck, 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 | 2016 | 258 | |
| 2 | 2017 | 44 | |
| 3 | 2016 | 41 | |
| 4 | 2014 | 39 | |
| 5 | 2012 | 32 | |
| 6 | 2019 | 25 | |
| 7 | 2019 | 21 | |
| 8 | 2017 | 14 | |
| 9 | 2016 | 14 | |
| 10 | 2013 | 12 | |
| 11 | 2014 | 5 |
About Ruben Heck
Ruben Heck is a scholar working on Molecular Biology, Biomedical Engineering, Ecology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 11 papers that have together received 505 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (6 papers), Gene Regulatory Network Analysis (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), Biofuel production and bioconversion (2 papers), Enzyme Structure and Function (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (361 citations), Biotechnology (39 citations), Pollution (38 citations), Genetics (85 citations) and Biomedical Engineering (120 citations). Ruben Heck has collaborated with scholars based in Netherlands, Switzerland and Germany. Frequent co-authors include Vítor A. P. Martins dos Santos, Peter J. Schaap, Pablo I. Nikel, Vı́ctor de Lorenzo, Stéphane Cruveiller, Agnieszka Sekowska, Eugeni Belda, David Vallenet, Zoé Rouy and Claire M. Fraser. Their work appears in journals such as Microbiome, PeerJ, ACS Synthetic Biology, Microbial Cell Factories and Trends in biotechnology.
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.