Robert Küffner

3.9k total citations · 1 hit paper
31 papers, 2.4k citations indexed

About

Robert Küffner is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Robert Küffner has authored 31 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Cancer Research. Recurrent topics in Robert Küffner's work include Bioinformatics and Genomic Networks (17 papers), Gene Regulatory Network Analysis (10 papers) and Gene expression and cancer classification (9 papers). Robert Küffner is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Gene Regulatory Network Analysis (10 papers) and Gene expression and cancer classification (9 papers). Robert Küffner collaborates with scholars based in Germany, United States and Netherlands. Robert Küffner's co-authors include Ralf Zimmer, Katrin Fundel, Manolis Kellis, James C. Costello, James J. Collins, Diogo M. Camacho, Daniel Marbach, Kyle R. Allison, Robert J. Prill and Nic M. Vega and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Robert Küffner

31 papers receiving 2.3k citations

Hit Papers

Wisdom of crowds for robust gene network inference 2012 2026 2016 2021 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Küffner Germany 18 2.0k 445 176 149 147 31 2.4k
William Noble Grundy United States 14 1.8k 0.9× 522 1.2× 146 0.8× 82 0.6× 166 1.1× 21 2.4k
Minghua Deng China 28 1.9k 0.9× 397 0.9× 378 2.1× 164 1.1× 60 0.4× 88 2.5k
Rui Kuang United States 24 987 0.5× 249 0.6× 148 0.8× 115 0.8× 77 0.5× 74 1.6k
Daniel Marbach Switzerland 17 2.9k 1.4× 310 0.7× 218 1.2× 135 0.9× 389 2.6× 29 3.6k
Xinghua Shi United States 22 745 0.4× 290 0.7× 129 0.7× 225 1.5× 224 1.5× 78 1.7k
Arun Ramani Canada 17 1.9k 0.9× 282 0.6× 207 1.2× 112 0.8× 256 1.7× 39 2.2k
Tamer Kahveci United States 22 1.0k 0.5× 299 0.7× 134 0.8× 63 0.4× 146 1.0× 121 1.6k
Iftach Nachman Israel 17 3.1k 1.5× 991 2.2× 219 1.2× 81 0.5× 318 2.2× 36 3.9k
Xuequn Shang China 25 1.5k 0.7× 538 1.2× 387 2.2× 357 2.4× 113 0.8× 167 2.3k
Marc Fiume Canada 9 1.5k 0.7× 303 0.7× 129 0.7× 426 2.9× 410 2.8× 11 2.2k

Countries citing papers authored by Robert Küffner

Since Specialization
Citations

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

Fields of papers citing papers by Robert Küffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Küffner

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

All Works

20 of 20 papers shown
1.
Zimmer, Ralf, et al.. (2018). Detection of network motifs using three-way ANOVA. PLoS ONE. 13(8). e0201382–e0201382. 5 indexed citations
2.
Marozava, Sviatlana, Wilfred F. M. Röling, Jana Seifert, et al.. (2014). Physiology of Geobacter metallireducens under excess and limitation of electron donors. Part II. Mimicking environmental conditions during cultivation in retentostats. Systematic and Applied Microbiology. 37(4). 287–295. 20 indexed citations
3.
Marozava, Sviatlana, Wilfred F. M. Röling, Jana Seifert, et al.. (2014). Physiology of Geobacter metallireducens under excess and limitation of electron donors. Part I. Batch cultivation with excess of carbon sources. Systematic and Applied Microbiology. 37(4). 277–286. 17 indexed citations
4.
Küffner, Robert, et al.. (2013). On protocols and measures for the validation of supervised methods for the inference of biological networks. Frontiers in Genetics. 4. 262–262. 47 indexed citations
5.
Geistlinger, Ludwig, et al.. (2013). A comprehensive gene regulatory network for the diauxic shift in Saccharomyces cerevisiae. Nucleic Acids Research. 41(18). 8452–8463. 15 indexed citations
6.
Naeem, Haroon, et al.. (2012). Rigorous assessment of gene set enrichment tests. Bioinformatics. 28(11). 1480–1486. 22 indexed citations
7.
Marbach, Daniel, James C. Costello, Robert Küffner, et al.. (2012). Wisdom of crowds for robust gene network inference.. PubMed. 9(8). 796–804. 5 indexed citations
8.
Marbach, Daniel, James C. Costello, Robert Küffner, et al.. (2012). Wisdom of crowds for robust gene network inference. Nature Methods. 9(8). 796–804. 1110 indexed citations breakdown →
10.
Geistlinger, Ludwig, Gergely Csaba, Robert Küffner, Nicola Mulder, & Ralf Zimmer. (2011). From sets to graphs: towards a realistic enrichment analysis of transcriptomic systems. Bioinformatics. 27(13). i366–i373. 50 indexed citations
11.
Naeem, Haroon, Robert Küffner, & Ralf Zimmer. (2011). MIRTFnet: Analysis of miRNA Regulated Transcription Factors. PLoS ONE. 6(8). e22519–e22519. 24 indexed citations
12.
Küffner, Robert, Tobias Petri, Lukas Windhager, & Ralf Zimmer. (2010). Petri Nets with Fuzzy Logic (PNFL): Reverse Engineering and Parametrization. PLoS ONE. 5(9). e12807–e12807. 31 indexed citations
13.
Naeem, Haroon, Robert Küffner, Gergely Csaba, & Ralf Zimmer. (2010). miRSel: Automated extraction of associations between microRNAs and genes from the biomedical literature. BMC Bioinformatics. 11(1). 135–135. 65 indexed citations
14.
Birzele, Fabian, et al.. (2007). ProSAS: a database for analyzing alternative splicing in the context of protein structures. Nucleic Acids Research. 36(Database). D63–D68. 21 indexed citations
15.
Schilling, Tatjana, Robert Küffner, Ludger Klein‐Hitpaß, et al.. (2007). Microarray analyses of transdifferentiated mesenchymal stem cells. Journal of Cellular Biochemistry. 103(2). 413–433. 43 indexed citations
16.
Küffner, Robert, et al.. (2006). Characterization of protein interactions. 64–73. 3 indexed citations
17.
Fundel, Katrin, Robert Küffner, & Ralf Zimmer. (2006). RelEx—Relation extraction using dependency parse trees. Bioinformatics. 23(3). 365–371. 389 indexed citations
18.
Fundel, Katrin, Robert Küffner, Thomas Aigner, & Ralf Zimmer. (2005). Data processing effects on the interpretation of microarray gene expression experiments. 77–91. 4 indexed citations
19.
Genrich, Hartmann J., Robert Küffner, & Klaus Voß. (2001). Executable Petri net models for the analysis of metabolic pathways. International Journal on Software Tools for Technology Transfer. 3(4). 394–404. 69 indexed citations
20.
Küffner, Robert, Ralf Zimmer, & Thomas Lengauer. (2000). Pathway analysis in metabolic databases via differential metabolic display (DMD). Bioinformatics. 16(9). 825–836. 87 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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