Katja Ickstadt

233 total papers · 3.4k total citations
116 papers, 2.0k citations indexed

About

Katja Ickstadt is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Katja Ickstadt has authored 116 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 24 papers in Genetics and 24 papers in Statistics and Probability. Recurrent topics in Katja Ickstadt's work include Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (17 papers) and Genetic Associations and Epidemiology (12 papers). Katja Ickstadt is often cited by papers focused on Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (17 papers) and Genetic Associations and Epidemiology (12 papers). Katja Ickstadt collaborates with scholars based in Germany, United States and Türkiye. Katja Ickstadt's co-authors include Holger Schwender, Robert L. Wolpert, Arno Fritsch, Nicola Best, Jan G. Hengstler, Klaus Golka, Hermann M. Bolt, Silvia Selinski, Björn Bornkamp and Jörg Rahnenführer and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

Katja Ickstadt

108 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katja Ickstadt 859 332 218 213 210 116 2.0k
Zhongxue Chen 712 0.8× 410 1.2× 93 0.4× 147 0.7× 114 0.5× 111 2.5k
Judah Rosenblatt 586 0.7× 167 0.5× 258 1.2× 179 0.8× 111 0.5× 77 2.6k
Susmita Datta 1.4k 1.6× 382 1.2× 187 0.9× 80 0.4× 351 1.7× 106 2.9k
Franck Picard 1.1k 1.3× 435 1.3× 89 0.4× 137 0.6× 241 1.1× 79 2.6k
Jun Xie 823 1.0× 262 0.8× 129 0.6× 207 1.0× 97 0.5× 129 2.6k
Olle Nerman 860 1.0× 309 0.9× 52 0.2× 248 1.2× 135 0.6× 58 2.9k
Sébastien Dejean 1.5k 1.8× 423 1.3× 151 0.7× 46 0.2× 215 1.0× 86 3.3k
Barbara Di Camillo 1.4k 1.6× 226 0.7× 342 1.6× 51 0.2× 188 0.9× 129 2.8k
Christine B. Peterson 1.2k 1.4× 230 0.7× 177 0.8× 104 0.5× 176 0.8× 171 2.7k
Ping Zeng 976 1.1× 659 2.0× 291 1.3× 48 0.2× 140 0.7× 167 3.1k

Countries citing papers authored by Katja Ickstadt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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