D Heuck
Impact in
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus
- Infection Control in Healthcare
- Dermatological diseases and infestations
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- Antibiotic Use and Resistance
Papers in
-
- Antimicrobial Resistance in Staphylococcus 23
- Infection Control in Healthcare 1
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- Antibiotic Resistance in Bacteria 1
- Co-authors
- Wolfgang Witte (22 shared papers)C Braulke (11 shared papers)Birgit Strommenger (5 shared papers)Christiane Cuny (10 shared papers)Ulrich Nübel (1 shared paper)Uta Jappe (3 shared papers)Guido Werner (2 shared papers)Constanze Wendt (2 shared papers)
- Journals
- Eurosurveillance (5 papers)European Journal of Clinical Microbiology & Infectious Diseases (2 papers)Journal of Investigative Dermatology (2 papers)Clinical Infectious Diseases (1 paper)Journal of Medical Microbiology (1 paper)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
D Heuck
23 papers receiving 826 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 794
- Applied Microbiology and Biotechnology 12
- Clinical Biochemistry 19
- Dermatology 26
- Microbiology 2
Countries citing papers authored by D Heuck
This map shows the geographic impact of D Heuck'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 D Heuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Heuck more than expected).
Fields of papers citing papers by D Heuck
This network shows the impact of papers produced by D Heuck. 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 D Heuck. The network helps show where D Heuck may publish in the future.
Co-authors
The 25 scholars most cited alongside D Heuck, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 220 | |
| 2 | 2004 | 120 | |
| 3 | 2007 | 95 | |
| 4 | 2004 | 63 | |
| 5 | 2007 | 58 | |
| 6 | 2008 | 50 | |
| 7 | 2001 | 48 | |
| 8 | 2001 | 35 | |
| 9 | 1994 | 28 | |
| 10 | 1998 | 27 | |
| 11 | 1994 | 26 | |
| 12 | 2007 | 22 | |
| 13 | 2001 | 19 | |
| 14 | 1997 | 18 | |
| 15 | 2000 | 18 | |
| 16 | 1995 | 12 | |
| 17 | 1999 | 7 | |
| 18 | 1999 | 7 | |
| 19 | 1994 | 5 | |
| 20 | 2000 | 4 |
About D Heuck
D Heuck is a scholar working on Infectious Diseases, Molecular Medicine, Dermatology, Genetics and Epidemiology, having authored 26 papers that have together received 889 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (23 papers), Bacterial Genetics and Biotechnology (2 papers), Dermatology and Skin Diseases (1 paper), Infection Control in Healthcare (1 paper), Antibiotic Resistance in Bacteria (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Infectious Diseases (794 citations), Applied Microbiology and Biotechnology (12 citations), Clinical Biochemistry (19 citations), Dermatology (26 citations) and Microbiology (2 citations). D Heuck has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Wolfgang Witte, C Braulke, Birgit Strommenger, Christiane Cuny, Ulrich Nübel, Uta Jappe, Guido Werner, Constanze Wendt, Christa Cuny and H.‐J. Linde. Their work appears in journals such as Eurosurveillance, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Investigative Dermatology, Clinical Infectious Diseases and Journal of Medical Microbiology.
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.