Anne‐Kathrin Schink
- Molecular Medicine top 0.5%
- Endocrinology top 2%
- Pollution top 5%
- Food Science top 5%
- Molecular Biology
- Co-authors
- Štefan SchwarzJean-Yves MadecAgnese LupoPatrice NordmannLaurent PoirelNicolas KiefferKristina KadlecEngeline van Duijkeren
- Topics
- Antibiotic Resistance in Bacteria (8 papers)Microbial infections and disease research (7 papers)Antimicrobial Resistance in Staphylococcus (6 papers)
- Partner nations
- GermanyAustriaNetherlands
In The Last Decade
Anne‐Kathrin Schink
15 papers receiving 851 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Molecular Medicine 513
- Endocrinology 270
- Pollution 252
- Food Science 181
- Molecular Biology 165
Countries citing papers authored by Anne‐Kathrin Schink
This map shows the geographic impact of Anne‐Kathrin Schink'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 Anne‐Kathrin Schink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Kathrin Schink more than expected).
Fields of papers citing papers by Anne‐Kathrin Schink
This network shows the impact of papers produced by Anne‐Kathrin Schink. 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 Anne‐Kathrin Schink. The network helps show where Anne‐Kathrin Schink may publish in the future.
Co-authorship network of co-authors of Anne‐Kathrin Schink
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Kathrin Schink. A scholar is included among the top collaborators of Anne‐Kathrin Schink 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 Anne‐Kathrin Schink. Anne‐Kathrin Schink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 64 | |
| 6 | 21 | |
| 7 | 21 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 23 | |
| 12 | Antimicrobial Resistance inEscherichia colibreakdown → | 569 |
| 13 | 67 | |
| 14 | 21 | |
| 15 | 23 | |
| 16 | Friedrich-Loeffler-Institut (FLI) Institute of Farm Animal Genetics Neustadt-Mariensee, Germany Studies on the prevalence, distribution and organization of extended-spectrum -lactamase genes and transferable (fluoro)quinolone resistance genes among Enterobacteriaceae from defined disease conditions of companion and farm animals | 1 |
| 17 | 37 |
About Anne‐Kathrin Schink
Anne‐Kathrin Schink is a scholar working on Molecular Medicine, Microbiology and Endocrinology, having authored 17 papers that have together received 862 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Microbial infections and disease research (7 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). The work is most often cited by research in Molecular Medicine (513 citations), Endocrinology (270 citations) and Pollution (252 citations). Anne‐Kathrin Schink has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Štefan Schwarz, Jean-Yves Madec, Agnese Lupo, Patrice Nordmann, Laurent Poirel, Nicolas Kieffer, Kristina Kadlec, Engeline van Duijkeren, Yang Wang and Marilyn C. Roberts. Their work appears in journals such as Nature Communications, Applied and Environmental Microbiology and Emerging infectious diseases.
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.