Marit Ackermann

531 total citations
8 papers, 370 citations indexed

About

Marit Ackermann is a scholar working on Molecular Biology, Organic Chemistry and Health. According to data from OpenAlex, Marit Ackermann has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Organic Chemistry and 1 paper in Health. Recurrent topics in Marit Ackermann's work include Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (3 papers) and Gene expression and cancer classification (3 papers). Marit Ackermann is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (3 papers) and Gene expression and cancer classification (3 papers). Marit Ackermann collaborates with scholars based in Germany. Marit Ackermann's co-authors include Korbinian Strimmer, Andreas Beyer, Kalaimathy Singaravelu, Ole F. Olesen, Jochen Lehmann, Christoph Enzensperger, Mathieu Clément‐Ziza and Jacob J. Michaelson and has published in prestigious journals such as PLoS ONE, PLoS Genetics and BMC Bioinformatics.

In The Last Decade

Marit Ackermann

8 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marit Ackermann Germany	7	281	82	18	18	17	8	370
Jan Zaucha Germany	9	180 0.6×	58 0.7×	15 0.8×	7 0.4×	25 1.5×	18	273
Matteo Cagiada Denmark	8	275 1.0×	96 1.2×	12 0.7×	12 0.7×	7 0.4×	16	334
Jeff De Pons United States	13	398 1.4×	121 1.5×	36 2.0×	38 2.1×	26 1.5×	19	520
Ilan Smoly Israel	8	245 0.9×	30 0.4×	27 1.5×	27 1.5×	6 0.4×	10	279
Jesper Lundström Sweden	4	294 1.0×	40 0.5×	29 1.6×	12 0.7×	6 0.4×	5	342
S. Sahu India	10	274 1.0×	53 0.6×	18 1.0×	32 1.8×	17 1.0×	25	425
Fotis A. Baltoumas Greece	12	257 0.9×	37 0.5×	19 1.1×	8 0.4×	37 2.2×	34	355
Matteo Bersanelli Italy	8	337 1.2×	64 0.8×	25 1.4×	42 2.3×	26 1.5×	11	445
Eli J. Draizen United States	6	288 1.0×	44 0.5×	40 2.2×	19 1.1×	4 0.2×	10	349
Christine Gemünd Germany	6	482 1.7×	25 0.3×	16 0.9×	17 0.9×	17 1.0×	6	512

Countries citing papers authored by Marit Ackermann

Since Specialization

Citations

This map shows the geographic impact of Marit Ackermann'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 Marit Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marit Ackermann more than expected).

Fields of papers citing papers by Marit Ackermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marit Ackermann. 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 Marit Ackermann. The network helps show where Marit Ackermann may publish in the future.

Co-authorship network of co-authors of Marit Ackermann

This figure shows the co-authorship network connecting the top 25 collaborators of Marit Ackermann. A scholar is included among the top collaborators of Marit Ackermann 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 Marit Ackermann. Marit Ackermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Olesen, Ole F. & Marit Ackermann. (2017). Increasing European Support for Neglected Infectious Disease Research. Computational and Structural Biotechnology Journal. 15. 180–184. 7 indexed citations

2.

Ackermann, Marit, et al.. (2013). Impact of Natural Genetic Variation on Gene Expression Dynamics. PLoS Genetics. 9(6). e1003514–e1003514. 33 indexed citations

3.

Ackermann, Marit, et al.. (2013). Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data. PLoS Computational Biology. 9(11). e1003342–e1003342. 39 indexed citations

4.

Ackermann, Marit, Mathieu Clément‐Ziza, Jacob J. Michaelson, & Andreas Beyer. (2012). Teamwork: Improved eQTL Mapping Using Combinations of Machine Learning Methods. PLoS ONE. 7(7). e40916–e40916. 9 indexed citations

5.

Ackermann, Marit & Andreas Beyer. (2012). Systematic Detection of Epistatic Interactions Based on Allele Pair Frequencies. PLoS Genetics. 8(2). e1002463–e1002463. 11 indexed citations

6.

Ackermann, Marit & Korbinian Strimmer. (2009). A general modular framework for gene set enrichment analysis. BMC Bioinformatics. 10(1). 47–47. 251 indexed citations

7.

Ackermann, Marit, et al.. (2009). Accounting for Redundancy when Integrating Gene Interaction Databases. PLoS ONE. 4(10). e7492–e7492. 5 indexed citations

8.

Enzensperger, Christoph, et al.. (2006). Dopamine/serotonin receptor ligands. Part 15: Oxygenation of the benz-indolo-azecine LE 300 leads to novel subnanomolar dopamine D1/D5 antagonists. Bioorganic & Medicinal Chemistry Letters. 17(5). 1399–1402. 15 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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