Katja Ickstadt
- Molecular Biology top 10%
- Genetics top 10%
- Cancer Research top 10%
- Statistics and Probability top 2%
- Artificial Intelligence top 5%
- Co-authors
- Holger SchwenderRobert L. WolpertArno FritschJan G. HengstlerNicola BestKlaus GolkaHermann M. BoltSilvia Selinski
- Topics
- Gene expression and cancer classification (24 papers)Bioinformatics and Genomic Networks (17 papers)Genetic Associations and Epidemiology (12 papers)
- Partner nations
- GermanyUnited StatesTürkiye
In The Last Decade
Katja Ickstadt
108 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 176
- Molecular Biology 862
- Genetics 333
- Cancer Research 218
- Statistics and Probability 213
- Artificial Intelligence 212
Countries citing papers authored by Katja Ickstadt
This map shows the geographic impact of Katja Ickstadt'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 Katja Ickstadt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Ickstadt more than expected).
Fields of papers citing papers by Katja Ickstadt
This network shows the impact of papers produced by Katja Ickstadt. 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 Katja Ickstadt. The network helps show where Katja Ickstadt may publish in the future.
Co-authorship network of co-authors of Katja Ickstadt
This figure shows the co-authorship network connecting the top 25 collaborators of Katja Ickstadt. A scholar is included among the top collaborators of Katja Ickstadt 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 Katja Ickstadt. Katja Ickstadt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 20 | |
| 7 | 19 | |
| 8 | 46 | |
| 9 | 20 | |
| 10 | 7 | |
| 11 | 15 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | 143 | |
| 15 | 18 | |
| 16 | Identification of SNP interactions using logic regression | 3 |
| 17 | Comparison of the empirical bayes and the significance analysis of microarrays | 6 |
| 18 | Inverse Problems and a Lévy Process Solution | 1 |
| 19 | 6 | |
| 20 | 4 |
About Katja Ickstadt
Katja Ickstadt is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Genetics, having authored 116 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (17 papers) and Genetic Associations and Epidemiology (12 papers). The work is most often cited by research in Statistics and Probability (213 citations), Cancer Research (218 citations) and Molecular Biology (862 citations). Katja Ickstadt has collaborated with scholars based in Germany, United States and Türkiye. Frequent co-authors include Holger Schwender, Robert L. Wolpert, Arno Fritsch, Jan G. Hengstler, Nicola Best, Klaus Golka, Hermann M. Bolt, Silvia Selinski, Björn Bornkamp and Jörg Rahnenführer. Their work appears in journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.
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.