M E Kaufmann
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
- Enterobacteriaceae and Cronobacter Research
Papers in
-
- Antibiotic Resistance in Bacteria 9
-
- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- Javier Garaizar (2 shared papers)T.L. Pitt (3 shared papers)Lenie Dijkshoorn (2 shared papers)Hazel M. Aucken (2 shared papers)Jan Ursing (2 shared papers)Peter Gerner‐Smidt (2 shared papers)Paul Janssen (1 shared paper)Tyrone L. Pitt (3 shared papers)
- Journals
- Journal of Clinical Microbiology (5 papers)Journal of Medical Microbiology (2 papers)Journal of Hospital Infection (2 papers)European Journal of Clinical Microbiology & Infectious Diseases (1 paper)Epidemiology and Infection (1 paper)
- Partner nations
- United KingdomNetherlandsGreece
In The Last Decade
M E Kaufmann
13 papers receiving 737 citations
Peers
Comparison fields: 5 of 75
- Molecular Medicine 457
- Endocrinology 327
- Clinical Biochemistry 134
- Applied Microbiology and Biotechnology 34
- Infectious Diseases 162
Countries citing papers authored by M E Kaufmann
This map shows the geographic impact of M E Kaufmann'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 M E Kaufmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M E Kaufmann more than expected).
Fields of papers citing papers by M E Kaufmann
This network shows the impact of papers produced by M E Kaufmann. 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 M E Kaufmann. The network helps show where M E Kaufmann may publish in the future.
Co-authors
The 25 scholars most cited alongside M E Kaufmann, 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 | 1996 | 266 | |
| 2 | 2002 | 100 | |
| 3 | 1993 | 87 | |
| 4 | 1991 | 61 | |
| 5 | 1994 | 48 | |
| 6 | 2000 | 45 | |
| 7 | 2009 | 44 | |
| 8 | 2001 | 43 | |
| 9 | 2000 | 28 | |
| 10 | 1997 | 23 | |
| 11 | 1994 | 19 | |
| 12 | 2006 | 8 | |
| 13 | 1994 | 6 |
About M E Kaufmann
M E Kaufmann is a scholar working on Molecular Medicine, Infectious Diseases, Epidemiology, Clinical Biochemistry and Endocrinology, having authored 13 papers that have together received 778 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Infective Endocarditis Diagnosis and Management (2 papers), Bacteriophages and microbial interactions (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Molecular Medicine (457 citations), Endocrinology (327 citations), Clinical Biochemistry (134 citations), Applied Microbiology and Biotechnology (34 citations) and Infectious Diseases (162 citations). M E Kaufmann has collaborated with scholars based in United Kingdom, Netherlands and Greece. Frequent co-authors include Javier Garaizar, T.L. Pitt, Lenie Dijkshoorn, Hazel M. Aucken, Jan Ursing, Peter Gerner‐Smidt, Paul Janssen, Tyrone L. Pitt, Nicholas A. Saunders and Kirstin J. Edwards. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Microbiology, Journal of Hospital Infection, European Journal of Clinical Microbiology & Infectious Diseases and Epidemiology and Infection.
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.