Mark de Been
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
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- Antibiotic Resistance in Bacteria 6
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- Antimicrobial Resistance in Staphylococcus 6
- Co-authors
- Rob J. L. Willems (9 shared papers)Willem van Schaik (7 shared papers)Marc J. M. Bonten (9 shared papers)Tjakko Abee (6 shared papers)Jukka Corander (3 shared papers)Malbert R. C. Rogers (5 shared papers)Willem M. de Vos (5 shared papers)Carolin A. Kolmeder (3 shared papers)
- Journals
- Environmental Microbiology (3 papers)PLoS ONE (3 papers)Genome Biology and Evolution (2 papers)BMC Genomics (2 papers)Microbiology (2 papers)
- Partner nations
- NetherlandsFinlandUnited Kingdom
In The Last Decade
Mark de Been
27 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Molecular Medicine 370
- Endocrinology 232
- Clinical Biochemistry 211
- Infectious Diseases 507
- Applied Microbiology and Biotechnology 38
Countries citing papers authored by Mark de Been
This map shows the geographic impact of Mark de Been'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 Mark de Been with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark de Been more than expected).
Fields of papers citing papers by Mark de Been
This network shows the impact of papers produced by Mark de Been. 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 Mark de Been. The network helps show where Mark de Been may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark de Been, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 289 | |
| 2 | 2015 | 241 | |
| 3 | 2012 | 160 | |
| 4 | 2022 | 138 | |
| 5 | 2015 | 118 | |
| 6 | 2011 | 92 | |
| 7 | 2013 | 77 | |
| 8 | 2014 | 75 | |
| 9 | 2013 | 74 | |
| 10 | 2016 | 71 | |
| 11 | 2007 | 48 | |
| 12 | 2006 | 47 | |
| 13 | 2017 | 47 | |
| 14 | 2008 | 38 | |
| 15 | 2008 | 38 | |
| 16 | 2005 | 37 | |
| 17 | 2009 | 31 | |
| 18 | 2010 | 30 | |
| 19 | 2015 | 30 | |
| 20 | 2004 | 22 |
About Mark de Been
Mark de Been is a scholar working on Molecular Medicine, Infectious Diseases, Genetics, Molecular Biology and Ecology, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacteriophages and microbial interactions (5 papers), Genomics and Phylogenetic Studies (4 papers), Probiotics and Fermented Foods (4 papers), Bacterial biofilms and quorum sensing (4 papers) and Bacillus and Francisella bacterial research (4 papers). The work is most often cited by research in Molecular Medicine (370 citations), Endocrinology (232 citations), Clinical Biochemistry (211 citations), Infectious Diseases (507 citations) and Applied Microbiology and Biotechnology (38 citations). Mark de Been has collaborated with scholars based in Netherlands, Finland and United Kingdom. Frequent co-authors include Rob J. L. Willems, Willem van Schaik, Marc J. M. Bonten, Tjakko Abee, Jukka Corander, Malbert R. C. Rogers, Willem M. de Vos, Carolin A. Kolmeder, Roland J. Siezen and Alan McNally. Their work appears in journals such as Environmental Microbiology, PLoS ONE, Genome Biology and Evolution, BMC Genomics and Microbiology.
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.