Brigitte Wägele

1.7k total citations
6 papers, 431 citations indexed

About

Brigitte Wägele is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Brigitte Wägele has authored 6 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Cell Biology. Recurrent topics in Brigitte Wägele's work include Metabolomics and Mass Spectrometry Studies (6 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (2 papers). Brigitte Wägele is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (2 papers). Brigitte Wägele collaborates with scholars based in Germany, Qatar and United States. Brigitte Wägele's co-authors include Karsten Suhre, Philippe Schmitt‐Kopplin, Christian Gieger, Jan Krumsiek, Fabian J. Theis, Werner Römisch‐Margl, Gabi Kastenmüller, Michael Witting, Ann-Kristin Petersen and H.‐Erich Wichmann and has published in prestigious journals such as PLoS ONE, PLoS Genetics and BMC Bioinformatics.

In The Last Decade

Brigitte Wägele

6 papers receiving 430 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brigitte Wägele Germany	6	334	73	65	52	36	6	431
Jörg Bartel Germany	5	252 0.8×	42 0.6×	40 0.6×	31 0.6×	28 0.8×	5	363
Rick Reisdorph United States	9	326 1.0×	67 0.9×	50 0.8×	97 1.9×	17 0.5×	10	498
Claire Teague United Kingdom	4	315 0.9×	100 1.4×	41 0.6×	51 1.0×	27 0.8×	6	425
Elaine Maibaum United Kingdom	6	520 1.6×	113 1.5×	54 0.8×	122 2.3×	38 1.1×	7	629
Paulina Samczuk Poland	12	280 0.8×	104 1.4×	69 1.1×	45 0.9×	58 1.6×	18	441
Claudia Balderas Spain	12	139 0.4×	90 1.2×	33 0.5×	42 0.8×	22 0.6×	19	424
Flora Scott United Kingdom	7	255 0.8×	83 1.1×	16 0.2×	43 0.8×	32 0.9×	8	392
Elizabeth S. Baranowski United Kingdom	8	177 0.5×	30 0.4×	89 1.4×	37 0.7×	23 0.6×	14	547
Fanyi Zhong United States	11	226 0.7×	40 0.5×	15 0.2×	43 0.8×	27 0.8×	14	351
Reza Dowlatabadi Iran	9	235 0.7×	45 0.6×	19 0.3×	31 0.6×	26 0.7×	21	400

Countries citing papers authored by Brigitte Wägele

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brigitte Wägele

This figure shows the co-authorship network connecting the top 25 collaborators of Brigitte Wägele. A scholar is included among the top collaborators of Brigitte Wägele based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brigitte Wägele. Brigitte Wägele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Witting, Michael, Marianna Lucio, Dimitrios Tziotis, et al.. (2014). DI-ICR-FT-MS-based high-throughput deep metabotyping: a case study of the Caenorhabditis elegans–Pseudomonas aeruginosa infection model. Analytical and Bioanalytical Chemistry. 407(4). 1059–1073. 25 indexed citations

2.

Wägele, Brigitte, Michael Witting, Philippe Schmitt‐Kopplin, & Karsten Suhre. (2012). MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data. PLoS ONE. 7(7). e39860–e39860. 75 indexed citations

3.

Petersen, Ann-Kristin, Jan Krumsiek, Brigitte Wägele, et al.. (2012). On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies. BMC Bioinformatics. 13(1). 120–120. 86 indexed citations

4.

Krumsiek, Jan, Karsten Suhre, Anne M. Evans, et al.. (2012). Mining the Unknown: A Systems Approach to Metabolite Identification Combining Genetic and Metabolic Information. PLoS Genetics. 8(10). e1003005–e1003005. 135 indexed citations

5.

Kastenmüller, Gabi, Werner Römisch‐Margl, Brigitte Wägele, Elisabeth Altmaier, & Karsten Suhre. (2010). metaP‐Server: A Web‐Based Metabolomics Data Analysis Tool. BioMed Research International. 2011(1). 57 indexed citations

6.

Lucio, Marianna, Ágnes Fekete, Cora Weigert, et al.. (2010). Insulin Sensitivity Is Reflected by Characteristic Metabolic Fingerprints - A Fourier Transform Mass Spectrometric Non-Targeted Metabolomics Approach. PLoS ONE. 5(10). e13317–e13317. 53 indexed citations

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.

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