Beate Weber
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Pneumonia and Respiratory Infections 3
-
- Biochemical and Structural Characterization 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Regine Hakenbeck (3 shared papers)Nadège Balmelle (1 shared paper)Dagmar Petermann (1 shared paper)Christian Müller (1 shared paper)Christophe Gardès (1 shared paper)Wolfgang Keck (1 shared paper)Antoine de Saizieu (1 shared paper)Maximilian Schöniger–Hekele (1 shared paper)
- Journals
- Microbiology (2 papers)Applied and Environmental Microbiology (2 papers)International Journal of Medical Microbiology (1 paper)Infection and Immunity (1 paper)FEMS Microbiology Letters (1 paper)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Beate Weber
8 papers receiving 412 citations
Peers
Comparison fields: 5 of 56
- Microbiology 89
- Molecular Medicine 47
- Pathology and Forensic Medicine 105
- Epidemiology 195
- Infectious Diseases 51
Countries citing papers authored by Beate Weber
This map shows the geographic impact of Beate Weber'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 Beate Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Weber more than expected).
Fields of papers citing papers by Beate Weber
This network shows the impact of papers produced by Beate Weber. 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 Beate Weber. The network helps show where Beate Weber may publish in the future.
Co-authors
The 24 scholars most cited alongside Beate Weber, 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 | 2001 | 167 | |
| 2 | 2007 | 113 | |
| 3 | 2004 | 42 | |
| 4 | 2000 | 40 | |
| 5 | 2002 | 29 | |
| 6 | 1999 | 27 | |
| 7 | 1998 | 8 | |
| 8 | 2000 | 3 |
About Beate Weber
Beate Weber is a scholar working on Epidemiology, Molecular Biology, Surgery, Public Health, Environmental and Occupational Health and Food Science, having authored 8 papers that have together received 429 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (3 papers), Streptococcal Infections and Treatments (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Probiotics and Fermented Foods (2 papers), Microbial Metabolites in Food Biotechnology (1 paper), Biochemical and Structural Characterization (1 paper), RNA and protein synthesis mechanisms (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Microbiology (89 citations), Molecular Medicine (47 citations), Pathology and Forensic Medicine (105 citations), Epidemiology (195 citations) and Infectious Diseases (51 citations). Beate Weber has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Regine Hakenbeck, Nadège Balmelle, Dagmar Petermann, Christian Müller, Christophe Gardès, Wolfgang Keck, Antoine de Saizieu, Maximilian Schöniger–Hekele, Peter Reichmann and Bernhard Henrich. Their work appears in journals such as Microbiology, Applied and Environmental Microbiology, International Journal of Medical Microbiology, Infection and Immunity and FEMS Microbiology Letters.
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.