Michael E. J. Buhl
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
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- Bacterial Identification and Susceptibility Testing 9
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- Antibiotic Resistance in Bacteria 8
- Co-authors
- F. Baumgaertel (1 shared paper)Berton A. Rahn (1 shared paper)Matthias Willmann (5 shared papers)Silke Peter (4 shared papers)Matthias Marschal (6 shared papers)Ingo B. Autenrieth (5 shared papers)Evelina Tacconelli (4 shared papers)Jan Liese (3 shared papers)
In The Last Decade
Michael E. J. Buhl
36 papers receiving 706 citations
Peers
Comparison fields: 5 of 87
- Applied Microbiology and Biotechnology 87
- Molecular Medicine 201
- Clinical Biochemistry 65
- Endocrinology 47
- Infectious Diseases 124
Countries citing papers authored by Michael E. J. Buhl
This map shows the geographic impact of Michael E. J. Buhl'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 Michael E. J. Buhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. J. Buhl more than expected).
Fields of papers citing papers by Michael E. J. Buhl
This network shows the impact of papers produced by Michael E. J. Buhl. 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 Michael E. J. Buhl. The network helps show where Michael E. J. Buhl may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. J. Buhl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 124 | |
| 2 | 2015 | 82 | |
| 3 | 2019 | 46 | |
| 4 | 2018 | 39 | |
| 5 | 2023 | 39 | |
| 6 | 2021 | 38 | |
| 7 | 2019 | 31 | |
| 8 | 2011 | 30 | |
| 9 | 2019 | 29 | |
| 10 | 2021 | 27 | |
| 11 | Development and validation of BLOOMY prediction scores for 14-day and 6-month mortality in hospitalised adults with bloodstream infections: a multicentre, prospective, cohort study | 2022 | 21 |
| 12 | 2014 | 20 | |
| 13 | 2014 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2020 | 14 | |
| 17 | Isodense middle fossa arachnoid cyst and subdural hematoma: a diagnostic problem on CT. | 1987 | 12 |
| 18 | 2018 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2020 | 12 |
About Michael E. J. Buhl
Michael E. J. Buhl is a scholar working on Clinical Biochemistry, Molecular Medicine, Applied Microbiology and Biotechnology, Infectious Diseases and Epidemiology, having authored 37 papers that have together received 729 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (9 papers), Antibiotic Resistance in Bacteria (8 papers), Infective Endocarditis Diagnosis and Management (5 papers), Antibiotic Use and Resistance (5 papers), Genomics and Phylogenetic Studies (4 papers), Streptococcal Infections and Treatments (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (87 citations), Molecular Medicine (201 citations), Clinical Biochemistry (65 citations), Endocrinology (47 citations) and Infectious Diseases (124 citations). Michael E. J. Buhl has collaborated with scholars based in Germany, Spain and Slovenia. Frequent co-authors include F. Baumgaertel, Berton A. Rahn, Matthias Willmann, Silke Peter, Matthias Marschal, Ingo B. Autenrieth, Evelina Tacconelli, Jan Liese, Martin Henri Hessmann and Nathalie Jazmati. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Clinical Microbiology and Infection, Infection, Journal of Antimicrobial Chemotherapy and Injury.
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.