Daniel Marbach

7.9k total citations · 2 hit papers
29 papers, 3.6k citations indexed

About

Daniel Marbach is a scholar working on Molecular Biology, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniel Marbach has authored 29 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniel Marbach's work include Bioinformatics and Genomic Networks (18 papers), Gene Regulatory Network Analysis (14 papers) and Gene expression and cancer classification (6 papers). Daniel Marbach is often cited by papers focused on Bioinformatics and Genomic Networks (18 papers), Gene Regulatory Network Analysis (14 papers) and Gene expression and cancer classification (6 papers). Daniel Marbach collaborates with scholars based in Switzerland, United States and Germany. Daniel Marbach's co-authors include Dario Floreano, Thomas Schaffter, Gustavo Stolovitzky, Robert J. Prill, Manolis Kellis, Claudio Mattiussi, James C. Costello, Kyle R. Allison, Nic M. Vega and Robert Küffner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Bioinformatics.

In The Last Decade

Daniel Marbach

28 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Wisdom of crowds for robust gene network inference

2012 1.1k citations Daniel Marbach, James C. Costello et al. Nature Methods profile →
Revealing strengths and weaknesses of methods for gene network inference

2010 520 citations Daniel Marbach, Robert J. Prill et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Marbach Switzerland	17	2.9k	389	310	218	135	29	3.6k
Theodore J. Perkins Canada	25	1.5k 0.5×	298 0.8×	257 0.8×	128 0.6×	159 1.2×	100	2.3k
Jan Hasenauer Germany	31	1.7k 0.6×	215 0.6×	188 0.6×	198 0.9×	110 0.8×	144	2.7k
Babak Alipanahi Canada	15	2.7k 0.9×	451 1.2×	424 1.4×	159 0.7×	400 3.0×	30	3.8k
Alexander J. Hartemink United States	33	3.5k 1.2×	695 1.8×	618 2.0×	117 0.5×	153 1.1×	65	4.8k
Iftach Nachman Israel	17	3.1k 1.1×	318 0.8×	991 3.2×	219 1.0×	81 0.6×	36	3.9k
Ling‐Yun Wu China	29	2.4k 0.8×	154 0.4×	252 0.8×	471 2.2×	226 1.7×	94	3.6k
Robert Küffner Germany	18	2.0k 0.7×	147 0.4×	445 1.4×	176 0.8×	149 1.1×	31	2.4k
Claudine Chaouiya France	27	2.2k 0.8×	212 0.5×	99 0.3×	394 1.8×	122 0.9×	54	2.7k
Adam A. Margolin United States	21	4.2k 1.4×	357 0.9×	267 0.9×	488 2.2×	540 4.0×	27	5.4k
Jörg Stelling Switzerland	31	4.4k 1.5×	624 1.6×	88 0.3×	263 1.2×	54 0.4×	88	5.3k

Countries citing papers authored by Daniel Marbach

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Marbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Marbach

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fischer, Susanne, Sabine Imhof-Jung, Daniel Marbach, et al.. (2025). A microfluidic bone marrow chip for the safety profiling of biologics in pre-clinical drug development. Communications Biology. 8(1). 754–754. 2 indexed citations

Li, Michelle M., Man Liang, Alberto Valdeolivas, et al.. (2024). Contextual AI models for single-cell protein biology. Nature Methods. 21(8). 1546–1557. 25 indexed citations

Gutiérrez, Nuria Martí, Luise Wolf, Stefka Tyanova, et al.. (2022). DUSP4 protects BRAF- and NRAS-mutant melanoma from oncogene overdose through modulation of MITF. Life Science Alliance. 5(9). e202101235–e202101235. 8 indexed citations

Tomasoni, Mattia, Sergio Gómez, Jake Crawford, et al.. (2020). MONET : a toolbox integrating top-performing methods for network modularization. Bioinformatics. 36(12). 3920–3921. 12 indexed citations

Prunotto, Marco, Anjum Sohail, Maxime Battistella, et al.. (2020). Discoidin Domain Receptors in Melanoma: Potential Therapeutic Targets to Overcome MAPK Inhibitor Resistance. Frontiers in Oncology. 10. 1748–1748. 10 indexed citations

Choobdar, Sarvenaz, Mehmet Eren Ahsen, Jake Crawford, et al.. (2018). Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases. SSRN Electronic Journal. 3 indexed citations

Lamparter, David, Daniel Marbach, Rico Rueedi, Sven Bergmann, & Zoltán Kutalik. (2017). Genome-Wide Association between Transcription Factor Expression and Chromatin Accessibility Reveals Regulators of Chromatin Accessibility. PLoS Computational Biology. 13(1). e1005311–e1005311. 17 indexed citations

Lamparter, David, Daniel Marbach, Rico Rueedi, Zoltán Kutalik, & Sven Bergmann. (2016). Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics. PLoS Computational Biology. 12(1). e1004714–e1004714. 180 indexed citations

Marbach, Daniel, David Lamparter, Gerald Quon, et al.. (2016). Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases. Nature Methods. 13(4). 366–370. 192 indexed citations

10.

Feizi, Soheil, Daniel Marbach, Muriel Médard, & Manolis Kellis. (2013). Network deconvolution as a general method to distinguish direct dependencies in networks. Nature Biotechnology. 31(8). 726–733. 183 indexed citations

11.

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

12.

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 →

13.

Marbach, Daniel, Sushmita Roy, Ferhat Ay, et al.. (2012). Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks. Genome Research. 22(7). 1334–1349. 89 indexed citations

14.

Schaffter, Thomas, Daniel Marbach, & Dario Floreano. (2011). GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods. Bioinformatics. 27(16). 2263–2270. 360 indexed citations

15.

Meyer, Patrick E., Daniel Marbach, Sushmita Roy, & Manolis Kellis. (2010). Information-Theoretic Inference of Gene Networks Using Backward Elimination. Open Repository and Bibliography (University of Liège). 700–705. 34 indexed citations

16.

Marbach, Daniel, Claudio Mattiussi, & Dario Floreano. (2009). Replaying the Evolutionary Tape: Biomimetic Reverse Engineering of Gene Networks. Annals of the New York Academy of Sciences. 1158(1). 234–245. 23 indexed citations

17.

Marbach, Daniel, Claudio Mattiussi, & Dario Floreano. (2009). Combining Multiple Results of a Reverse‐Engineering Algorithm: Application to the DREAM Five‐Gene Network Challenge. Annals of the New York Academy of Sciences. 1158(1). 102–113. 25 indexed citations

18.

Marbach, Daniel, Thomas Schaffter, Claudio Mattiussi, & Dario Floreano. (2009). Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods. Journal of Computational Biology. 16(2). 229–239. 301 indexed citations

19.

Mattiussi, Claudio, Daniel Marbach, Peter Dürr, & Dario Floreano. (2008). The Age of Analog Networks. AI Magazine. 29(3). 63–76. 12 indexed citations

20.

Marbach, Daniel & Auke Jan Ijspeert. (2004). Co-evolution of Configuration and Control for Homogenous Modular Robots. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 712–719. 29 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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