Brigitte Wägele
Impact in
-
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Gut microbiota and health
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Bioinformatics and Genomic Networks 3
- Gut microbiota and health 1
- Gene expression and cancer classification 1
- Microbial Metabolic Engineering and Bioproduction 1
- Genetics 1
- Genetic Associations and Epidemiology 1
- Co-authors
- Karsten Suhre (5 shared papers)Philippe Schmitt‐Kopplin (3 shared papers)Jan Krumsiek (2 shared papers)Fabian J. Theis (2 shared papers)Christian Gieger (2 shared papers)Michael Witting (2 shared papers)Gabi Kastenmüller (2 shared papers)Werner Römisch‐Margl (2 shared papers)
- Journals
- PLoS ONE (2 papers)Analytical and Bioanalytical Chemistry (1 paper)BioMed Research International (1 paper)PLoS Genetics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- GermanyQatarUnited States
In The Last Decade
Brigitte Wägele
6 papers receiving 436 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 318
- Aging 8
- Biological Psychiatry 8
- Spectroscopy 48
- Clinical Biochemistry 18
Countries citing papers authored by Brigitte Wägele
This map shows the geographic impact of Brigitte Wägele'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 Brigitte Wägele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brigitte Wägele more than expected).
Fields of papers citing papers by Brigitte Wägele
This network shows the impact of papers produced by Brigitte Wägele. 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 Brigitte Wägele. The network helps show where Brigitte Wägele may publish in the future.
Co-authors
The 25 scholars most cited alongside Brigitte Wägele, 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 | 2012 | 137 | |
| 2 | 2012 | 88 | |
| 3 | 2012 | 75 | |
| 4 | 2010 | 58 | |
| 5 | 2010 | 54 | |
| 6 | 2014 | 25 |
About Brigitte Wägele
Brigitte Wägele is a scholar working on Molecular Biology, Genetics, Aging, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 437 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Bioinformatics and Genomic Networks (3 papers), Gut microbiota and health (1 paper), Gene expression and cancer classification (1 paper), Genetic Associations and Epidemiology (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Molecular Biology (318 citations), Aging (8 citations), Biological Psychiatry (8 citations), Spectroscopy (48 citations) and Clinical Biochemistry (18 citations). Brigitte Wägele has collaborated with scholars based in Germany, Qatar and United States. Frequent co-authors include Karsten Suhre, Philippe Schmitt‐Kopplin, Jan Krumsiek, Fabian J. Theis, Christian Gieger, Michael Witting, Gabi Kastenmüller, Werner Römisch‐Margl, H.‐Erich Wichmann and Ann-Kristin Petersen. Their work appears in journals such as PLoS ONE, Analytical and Bioanalytical Chemistry, BioMed Research International, PLoS Genetics and BMC Bioinformatics.
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.