Jan Kuever
- Ecology top 0.5%
- Environmental Chemistry top 0.5%
- Molecular Biology top 5%
- Pollution top 1%
- Biomedical Engineering top 5%
- Co-authors
- Birte MeyerStefan M. SievertGerard MuyzerMarc MußmannFriedrich WiddelAchim Walter HasselMartin StratmannHang Thuy Dinh
- Topics
- Microbial Community Ecology and Physiology (38 papers)Genomics and Phylogenetic Studies (23 papers)Mine drainage and remediation techniques (15 papers)
- Partner nations
- GermanyRussiaUnited States
In The Last Decade
Jan Kuever
61 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Ecology 2.0k
- Environmental Chemistry 1.3k
- Molecular Biology 1.3k
- Pollution 761
- Biomedical Engineering 669
Countries citing papers authored by Jan Kuever
This map shows the geographic impact of Jan Kuever'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 Kuever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Kuever more than expected).
Fields of papers citing papers by Jan Kuever
This network shows the impact of papers produced by Jan Kuever. 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 Kuever. The network helps show where Jan Kuever may publish in the future.
Co-authorship network of co-authors of Jan Kuever
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kuever. A scholar is included among the top collaborators of Jan Kuever based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Kuever. Jan Kuever is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Proposal to reclassify the proteobacterial classes Deltaproteobacteria and Oligoflexia, and the phylum Thermodesulfobacteria into four phyla reflecting major functional capabilitiesbreakdown → | 350 |
| 2 | 55 | |
| 3 | 51 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 32 | |
| 7 | 31 | |
| 8 | 25 | |
| 9 | 48 | |
| 10 | 7 | |
| 11 | 45 | |
| 12 | 168 | |
| 13 | 28 | |
| 14 | 67 | |
| 15 | 73 | |
| 16 | 62 | |
| 17 | 36 | |
| 18 | 14 | |
| 19 | A Polyphasic Approach to Study the Diversity and Vertical Distribution of Sulfur-Oxidizing Thiomicrospira Species in Coastal Sediments of the German Wadden Sea | 4 |
| 20 | 50 |
About Jan Kuever
Jan Kuever is a scholar working on Environmental Chemistry, Ecology and Pollution, having authored 61 papers that have together received 4.3k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (38 papers), Genomics and Phylogenetic Studies (23 papers) and Mine drainage and remediation techniques (15 papers). The work is most often cited by research in Environmental Chemistry (1.3k citations), Ecology (2.0k citations) and Pollution (761 citations). Jan Kuever has collaborated with scholars based in Germany, Russia and United States. Frequent co-authors include Birte Meyer, Stefan M. Sievert, Gerard Muyzer, Marc Mußmann, Friedrich Widdel, Achim Walter Hassel, Martin Stratmann, Hang Thuy Dinh, Thorsten Brinkhoff and Volker Brüchert. Their work appears in journals such as Nature, PLoS ONE and Applied and Environmental 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.