Anne‐Catrin Uhlemann
- Public Health, Environmental and Occupational Health top 0.5%
- Infectious Diseases top 0.5%
- Molecular Biology top 5%
- Molecular Medicine top 0.2%
- Epidemiology top 2%
- Co-authors
- Sanjeev KrishnaAngela Gomez‐SimmondsMedini K. AnnavajhalaFranklin D. LowyRichard K. HaynesFrançois NostenJ. John MannJeffrey M. Miller
- Topics
- Antimicrobial Resistance in Staphylococcus (32 papers)Antibiotic Resistance in Bacteria (31 papers)Bacterial Identification and Susceptibility Testing (30 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Anne‐Catrin Uhlemann
154 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Public Health, Environmental and Occupational Health 2.3k
- Infectious Diseases 2.3k
- Molecular Biology 2.2k
- Molecular Medicine 1.2k
- Epidemiology 1.1k
Countries citing papers authored by Anne‐Catrin Uhlemann
This map shows the geographic impact of Anne‐Catrin Uhlemann'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‐Catrin Uhlemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Catrin Uhlemann more than expected).
Fields of papers citing papers by Anne‐Catrin Uhlemann
This network shows the impact of papers produced by Anne‐Catrin Uhlemann. 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‐Catrin Uhlemann. The network helps show where Anne‐Catrin Uhlemann may publish in the future.
Co-authorship network of co-authors of Anne‐Catrin Uhlemann
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Catrin Uhlemann. A scholar is included among the top collaborators of Anne‐Catrin Uhlemann 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‐Catrin Uhlemann. Anne‐Catrin Uhlemann 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | Multiple pathways for SARS-CoV-2 resistance to nirmatrelvirbreakdown → | 260 |
| 8 | 36 | |
| 9 | 51 | |
| 10 | 103 | |
| 11 | 3 | |
| 12 | 94 | |
| 13 | 80 | |
| 14 | 167 | |
| 15 | 51 | |
| 16 | 35 | |
| 17 | 10 | |
| 18 | 71 | |
| 19 | 28 | |
| 20 | 118 |
About Anne‐Catrin Uhlemann
Anne‐Catrin Uhlemann is a scholar working on Molecular Medicine, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 163 papers that have together received 7.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (32 papers), Antibiotic Resistance in Bacteria (31 papers) and Bacterial Identification and Susceptibility Testing (30 papers). The work is most often cited by research in Molecular Medicine (1.2k citations), Applied Microbiology and Biotechnology (323 citations) and Infectious Diseases (2.3k citations). Anne‐Catrin Uhlemann has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sanjeev Krishna, Angela Gomez‐Simmonds, Medini K. Annavajhala, Franklin D. Lowy, Richard K. Haynes, François Nosten, J. John Mann, Jeffrey M. Miller, Stephanie Cheung and M. Elizabeth Sublette. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.