Susanne Bauerschmidt
- Molecular Biology
- Biomedical Engineering
- Computational Theory and Mathematics top 10%
- Pharmacology top 10%
- Oncology
- Co-authors
- Ester PiekJorn R. de HaanPeter OlingaW.G.E.J. SchoonenJan PolmanGeny M. M. GroothuisJohann GasteigerRon Wehrens
- Topics
- Gene expression and cancer classification (6 papers)Computational Drug Discovery Methods (4 papers)Bioinformatics and Genomic Networks (3 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Susanne Bauerschmidt
13 papers receiving 438 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 270
- Biomedical Engineering 64
- Computational Theory and Mathematics 61
- Pharmacology 54
- Oncology 44
Countries citing papers authored by Susanne Bauerschmidt
This map shows the geographic impact of Susanne Bauerschmidt'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 Susanne Bauerschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Bauerschmidt more than expected).
Fields of papers citing papers by Susanne Bauerschmidt
This network shows the impact of papers produced by Susanne Bauerschmidt. 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 Susanne Bauerschmidt. The network helps show where Susanne Bauerschmidt may publish in the future.
Co-authorship network of co-authors of Susanne Bauerschmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Bauerschmidt. A scholar is included among the top collaborators of Susanne Bauerschmidt 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 Susanne Bauerschmidt. Susanne Bauerschmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 49 | |
| 3 | 56 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | Beyond single p-value cut-offs: Methods to improve decision making in GO enrichment analysis of microarray experiments | 0 |
| 8 | 80 | |
| 9 | 10 | |
| 10 | 70 | |
| 11 | 52 | |
| 12 | 1 | |
| 13 | 58 | |
| 14 | 29 | |
| 15 | 29 |
About Susanne Bauerschmidt
Susanne Bauerschmidt is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy, having authored 15 papers that have together received 457 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Computational Drug Discovery Methods (4 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Pharmacology (54 citations), Hepatology (38 citations) and Molecular Biology (270 citations). Susanne Bauerschmidt has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Ester Piek, Jorn R. de Haan, Peter Olinga, W.G.E.J. Schoonen, Jan Polman, Geny M. M. Groothuis, Johann Gasteiger, Ron Wehrens, Wilma T. Steegenga and Wiebe Olijve. Their work appears in journals such as Bioinformatics, The FASEB Journal and Journal of Bone and Mineral Research.
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.