Brigitte Wägele
Impact in
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Gut microbiota and health
- Microbial Metabolic Engineering and Bioproduction
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 1
- Microbial Metabolic Engineering and Bioproduction 1
- Gut microbiota and health 1
- Aging 1
- Genetics, Aging, and Longevity in Model Organisms 1
- Co-authors
- Karsten Suhre (5 shared papers)Philippe Schmitt-Kopplin (3 shared papers)Christian Gieger (2 shared papers)Fabian Joachim Theis (2 shared papers)Jan Krumsiek (2 shared papers)Werner Römisch‐Margl (2 shared papers)Gabi Kastenmüller (2 shared papers)Michael A. Witting (2 shared papers)
- Journals
- PLoS ONE (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Nature (1 paper)PLoS Genetics (1 paper)BioMed Research International (1 paper)
- Partner nations
- GermanyUnited StatesQatar
In The Last Decade
Brigitte Wägele
7 papers receiving 1.3k citations
Brigitte Wägele's Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 866
- Clinical Biochemistry 82
- Genetics 276
- Biological Psychiatry 22
- Physiology 189
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 | Human metabolic individuality in biomedical and pharmaceutical research Hit paper breakdown → | 2011 | 846 |
| 2 | 2012 | 156 | |
| 3 | 2012 | 103 | |
| 4 | 2012 | 83 | |
| 5 | 2010 | 67 | |
| 6 | 2010 | 56 | |
| 7 | 2014 | 26 |
About Brigitte Wägele
Brigitte Wägele is a scholar working on Molecular Biology, Aging, Genetics, Physiology and Epidemiology, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers), Liver Disease Diagnosis and Treatment (1 paper), Gene expression and cancer classification (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Molecular Biology (866 citations), Clinical Biochemistry (82 citations), Genetics (276 citations), Biological Psychiatry (22 citations) and Physiology (189 citations). Brigitte Wägele has collaborated with scholars based in Germany, United States and Qatar. Frequent co-authors include Karsten Suhre, Philippe Schmitt-Kopplin, Christian Gieger, Fabian Joachim Theis, Jan Krumsiek, Werner Römisch‐Margl, Gabi Kastenmüller, Michael A. Witting, Ann-Kristin Petersen and H.‐Erich Wichmann. Their work appears in journals such as PLoS ONE, Analytical and Bioanalytical Chemistry, Nature, PLoS Genetics and BioMed Research International.
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.