Tim Eckmanns
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- Antibiotic Use and Resistance 46
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 40
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- Nosocomial Infections in ICU 16
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing 30
- Infectious Diseases top 0.5%
- Antimicrobial Resistance in Staphylococcus 28
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- Pneumonia and Respiratory Infections 18
- Urinary Tract Infections Management 17
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- COVID-19 epidemiological studies 14
- Co-authors
- Robby MarkwartPetra GastmeierOlaniyi AyobamiSebastian HallerH. RüdenThomas HarderMuna Abu SinNiklas Willrich
- Cited by
- Applied Microbiology and BiotechnologyMolecular MedicineCritical Care and Intensive Care Medicine
- Journals
- Eurosurveillance (25 papers)Antimicrobial Resistance and Infection Control (9 papers)Journal of Hospital Infection (6 papers)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Tim Eckmanns
184 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Applied Microbiology and Biotechnology 859
- Molecular Medicine 1.2k
- Critical Care and Intensive Care Medicine 577
- Clinical Biochemistry 698
- Infectious Diseases 1.8k
Countries citing papers authored by Tim Eckmanns
This map shows the geographic impact of Tim Eckmanns'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 Tim Eckmanns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Eckmanns more than expected).
Fields of papers citing papers by Tim Eckmanns
This network shows the impact of papers produced by Tim Eckmanns. 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 Tim Eckmanns. The network helps show where Tim Eckmanns may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tim Eckmanns, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 106 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 29 | |
| 13 | Monitoring Antimicrobial Resistance and Drug Usage in the Human and Livestock Sector and Foodborne Antimicrobial Resistance in Six European Countries | 2020 | 1 |
| 14 | 2020 | 21 | |
| 15 | 2020 | 103 | |
| 16 | 2020 | 32 | |
| 17 | 2020 | 48 | |
| 18 | 2019 | 121 | |
| 19 | 2018 | 57 | |
| 20 | 2012 | 53 |
About Tim Eckmanns
Tim Eckmanns is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 196 papers that have together received 5.4k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (46 papers), Antibiotic Resistance in Bacteria (40 papers), Bacterial Identification and Susceptibility Testing (30 papers), Antimicrobial Resistance in Staphylococcus (28 papers), Pneumonia and Respiratory Infections (18 papers), Urinary Tract Infections Management (17 papers), Nosocomial Infections in ICU (16 papers) and COVID-19 epidemiological studies (14 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (859 citations), Molecular Medicine (1.2k citations) and Critical Care and Intensive Care Medicine (577 citations). Tim Eckmanns has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Robby Markwart, Petra Gastmeier, Olaniyi Ayobami, Sebastian Haller, H. Rüden, Thomas Harder, Muna Abu Sin, Niklas Willrich, Michael Behnke and Edward Velasco. Their work appears in journals such as Eurosurveillance, Antimicrobial Resistance and Infection Control, Journal of Hospital Infection, BMC Infectious Diseases and PLoS ONE.
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.