Siegbert Rieg
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
Papers in
-
- Antimicrobial Resistance in Staphylococcus 25
- COVID-19 Clinical Research Studies 12
- Microbiology 11
- Antimicrobial Peptides and Activities 10
- Co-authors
- Winfried V. Kern (71 shared papers)Hubert Kalbacher (8 shared papers)Achim Jens Kaasch (25 shared papers)Harald Seifert (24 shared papers)Birgit Schittek (5 shared papers)Claus Garbe (5 shared papers)Dirk Wagner (15 shared papers)Martin Hellmich (11 shared papers)
- Journals
- Infection (17 papers)Journal of Infection (9 papers)Clinical Microbiology and Infection (7 papers)BMC Infectious Diseases (5 papers)PLoS ONE (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Siegbert Rieg
112 papers receiving 2.8k citations
Siegbert Rieg's Hit Papers
Peers
Comparison fields: 5 of 119
- Applied Microbiology and Biotechnology 147
- Microbiology 357
- Clinical Biochemistry 330
- Infectious Diseases 863
- Dermatology 307
Countries citing papers authored by Siegbert Rieg
This map shows the geographic impact of Siegbert Rieg'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 Siegbert Rieg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siegbert Rieg more than expected).
Fields of papers citing papers by Siegbert Rieg
This network shows the impact of papers produced by Siegbert Rieg. 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 Siegbert Rieg. The network helps show where Siegbert Rieg may publish in the future.
Co-authors
The 25 scholars most cited alongside Siegbert Rieg, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Burden of bacterial bloodstream infection—a brief update on epidemiology and significance of multidrug-resistant pathogens Hit paper breakdown → | 2019 | 241 |
| 2 | 2005 | 226 | |
| 3 | 2013 | 210 | |
| 4 | 2009 | 157 | |
| 5 | 2020 | 129 | |
| 6 | 2004 | 114 | |
| 7 | 2011 | 108 | |
| 8 | 2006 | 97 | |
| 9 | 2021 | 96 | |
| 10 | 2005 | 72 | |
| 11 | 2011 | 64 | |
| 12 | 2014 | 51 | |
| 13 | 2016 | 49 | |
| 14 | 2020 | 47 | |
| 15 | 2020 | 47 | |
| 16 | 2016 | 43 | |
| 17 | 2020 | 41 | |
| 18 | 2015 | 41 | |
| 19 | 2015 | 39 | |
| 20 | 2011 | 37 |
About Siegbert Rieg
Siegbert Rieg is a scholar working on Infectious Diseases, Microbiology, Epidemiology, Neurology and Applied Microbiology and Biotechnology, having authored 128 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (25 papers), COVID-19 Clinical Research Studies (12 papers), Long-Term Effects of COVID-19 (10 papers), Infective Endocarditis Diagnosis and Management (10 papers), Antimicrobial Peptides and Activities (10 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antibiotic Use and Resistance (6 papers) and Migration, Health and Trauma (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (147 citations), Microbiology (357 citations), Clinical Biochemistry (330 citations), Infectious Diseases (863 citations) and Dermatology (307 citations). Siegbert Rieg has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Winfried V. Kern, Hubert Kalbacher, Achim Jens Kaasch, Harald Seifert, Birgit Schittek, Claus Garbe, Dirk Wagner, Martin Hellmich, Gabriele Peyerl‐Hoffmann and Silke Seeber. Their work appears in journals such as Infection, Journal of Infection, Clinical Microbiology and 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.