Jan‐Ulrich Kreft

6.2k citations
64 papers · 3.5k · h-index 28

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 11
    • Pharmaceutical and Antibiotic Environmental Impacts 7
    • Wastewater Treatment and Nitrogen Removal 6

Jan‐Ulrich Kreft

62 papers receiving 3.4k citations

Peers

Jan‐Ulrich Kreft
Comparison fields: 5 of 163
  • Pollution 671
  • Endocrinology 202
  • Molecular Medicine 194
  • Ecology 848
  • Process Chemistry and Technology 77
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Huan Li China
Wei E. Huang United Kingdom
Anton Hartmann Germany
John M. Martinko United States
J. Grant Burgess United Kingdom
Susann Müller Germany
Kasthuri Venkateswaran United States
Esteban Martínez‐García Spain
Ariel Kushmaro Israel
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Citations per field
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Citations per year

Countries citing papers authored by Jan‐Ulrich Kreft

Since Specialization
Citations

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

Fields of papers citing papers by Jan‐Ulrich Kreft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan‐Ulrich Kreft. 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 Jan‐Ulrich Kreft. The network helps show where Jan‐Ulrich Kreft may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007365
2 2001319
3 1998304
4 2004242
5 2004232
6 2020193
7 2011186
8 2002157
9 1994151
10 2016149
11 2006115
12 2001110
13 201072
14 200765
15 199353
16 200852
17 201347
18 201447
19 201145
20 200944

About Jan‐Ulrich Kreft

Jan‐Ulrich Kreft is a scholar working on Molecular Biology, Pollution, Ecology, Biomedical Engineering and Genetics, having authored 64 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (11 papers), Evolution and Genetic Dynamics (11 papers), Microbial Community Ecology and Physiology (11 papers), Slime Mold and Myxomycetes Research (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Evolutionary Game Theory and Cooperation (7 papers), Wastewater Treatment and Nitrogen Removal (6 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Pollution (671 citations), Endocrinology (202 citations), Molecular Medicine (194 citations), Ecology (848 citations) and Process Chemistry and Technology (77 citations). Jan‐Ulrich Kreft has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include J. W. T. Wimpenny, Cristian Picioreanu, Mark C.M. van Loosdrecht, G. H. Booth, Burkhard A. Hense, Michael Rothballer, Anton Hartmann, Christina Kuttler, Johannes Müller and Barth F. Smets. Their work appears in journals such as Microbiology, Applied and Environmental Microbiology, Archives of Microbiology, Environmental Microbiology and The Science of The Total Environment.

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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