Wilfried Wackernagel
- Molecular Biology top 1%
- Genetics top 0.5%
- Ecology top 0.5%
- Plant Science top 1%
- Endocrinology top 0.5%
- Co-authors
- Michael G. LorenzPeter CherepanovJohann de VriesGerd RomanowskiBrigitte ThomsPetra MeierJohannes SikorskiKlaus Harms
- Topics
- Bacterial Genetics and Biotechnology (46 papers)Bacteriophages and microbial interactions (36 papers)CRISPR and Genetic Engineering (32 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryApplied and Environmental Microbiology
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Wilfried Wackernagel
94 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 4.6k
- Genetics 2.6k
- Ecology 2.2k
- Plant Science 1.4k
- Endocrinology 750
Countries citing papers authored by Wilfried Wackernagel
This map shows the geographic impact of Wilfried Wackernagel'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 Wilfried Wackernagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilfried Wackernagel more than expected).
Fields of papers citing papers by Wilfried Wackernagel
This network shows the impact of papers produced by Wilfried Wackernagel. 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 Wilfried Wackernagel. The network helps show where Wilfried Wackernagel may publish in the future.
Co-authorship network of co-authors of Wilfried Wackernagel
This figure shows the co-authorship network connecting the top 25 collaborators of Wilfried Wackernagel. A scholar is included among the top collaborators of Wilfried Wackernagel 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 Wilfried Wackernagel. Wilfried Wackernagel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 39 | |
| 3 | 23 | |
| 4 | 39 | |
| 5 | 14 | |
| 6 | 26 | |
| 7 | 97 | |
| 8 | 106 | |
| 9 | 15 | |
| 10 | 95 | |
| 11 | 24 | |
| 12 | Gene disruption in Escherichia coli: TcR and KmR cassettes with the option of Flp-catalyzed excision of the antibiotic-resistance determinantbreakdown → | 1553 |
| 13 | 18 | |
| 14 | 56 | |
| 15 | 24 | |
| 16 | 91 | |
| 17 | 67 | |
| 18 | 6 | |
| 19 | 95 | |
| 20 | 27 |
About Wilfried Wackernagel
Wilfried Wackernagel is a scholar working on Genetics, Ecology and Molecular Medicine, having authored 94 papers that have together received 7.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (46 papers), Bacteriophages and microbial interactions (36 papers) and CRISPR and Genetic Engineering (32 papers). The work is most often cited by research in Endocrinology (750 citations), Molecular Medicine (719 citations) and Genetics (2.6k citations). Wilfried Wackernagel has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Michael G. Lorenz, Peter Cherepanov, Johann de Vries, Gerd Romanowski, Brigitte Thoms, Petra Meier, Johannes Sikorski, Klaus Harms, Stéphanie Blum and Brigitte Dreiseikelmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.