Mark de Been

2.4k citations
27 papers · 1.6k · h-index 21

Impact in

Papers in

    • Bacillus and Francisella bacterial research 5
    • Bacterial biofilms and quorum sensing 4
    • Genomics and Phylogenetic Studies 4
    • Bacterial Genetics and Biotechnology 6

Mark de Been

27 papers receiving 1.6k citations

Peers

Mark de Been
Comparison fields: 5 of 101
  • Molecular Medicine 350
  • Endocrinology 210
  • Clinical Biochemistry 176
  • Infectious Diseases 392
  • Applied Microbiology and Biotechnology 37
Replace Barbara Kot with:
Barbara Kot Poland
Gebhard Feierl Austria
Veronica N. Kos United States
Oksana Lukjančenko Denmark
Vyacheslav Brover United States
Lilian Pumbwe United States
Koichi Tanimoto Japan
Jennifer K. Bender Germany
A A Salyers United States
Dingqiang Chen China
Mark de Been relative to Barbara Kot Poland Barbara Kot's profile →
Citations per field
00.5×4.7×
Barbara Kot · 1×
Citations per year

Countries citing papers authored by Mark de Been

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark de Been Line = papers co-authored together Mark de Been links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014273
2 2015229
3 2012155
4 2022118
5 201194
6 201370
7 201669
8 201368
9 201465
10 200647
11 201746
12 200745
13 201142
14 200839
15 200537
16 200836
17 200933
18 201030
19 201530
20 200422

About Mark de Been

Mark de Been is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Ecology and Molecular Medicine, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Bacterial Genetics and Biotechnology (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Bacteriophages and microbial interactions (5 papers), Bacillus and Francisella bacterial research (5 papers), Bacterial biofilms and quorum sensing (4 papers), Genomics and Phylogenetic Studies (4 papers) and Probiotics and Fermented Foods (4 papers). The work is most often cited by research in Molecular Medicine (350 citations), Endocrinology (210 citations), Clinical Biochemistry (176 citations), Infectious Diseases (392 citations) and Applied Microbiology and Biotechnology (37 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, Willem M. de Vos, Malbert R. C. Rogers, Jukka Corander, Carolin A. Kolmeder, Roland J. Siezen and Christof Francke. Their work appears in journals such as PLoS ONE, Environmental Microbiology, Microbiology, BMC Genomics and The Plant Journal.

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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