Roland Eils

115.4k total citations · 7 hit papers
346 papers, 25.1k citations indexed

About

Roland Eils is a scholar working on Molecular Biology, Biophysics and Genetics. According to data from OpenAlex, Roland Eils has authored 346 papers receiving a total of 25.1k indexed citations (citations by other indexed papers that have themselves been cited), including 229 papers in Molecular Biology, 60 papers in Biophysics and 51 papers in Genetics. Recurrent topics in Roland Eils's work include Cell Image Analysis Techniques (47 papers), Genomics and Chromatin Dynamics (45 papers) and Gene expression and cancer classification (31 papers). Roland Eils is often cited by papers focused on Cell Image Analysis Techniques (47 papers), Genomics and Chromatin Dynamics (45 papers) and Gene expression and cancer classification (31 papers). Roland Eils collaborates with scholars based in Germany, United States and United Kingdom. Roland Eils's co-authors include Matthias Schlesner, Zuguang Gu, Benedikt Brors, Lei Gu, Joël Beaudouin, Jan Ellenberg, Daniel W. Gerlich, Rainer König, Nathalie Daigle and Thomas Cremer and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Roland Eils

338 papers receiving 24.7k citations

Hit Papers

5 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.

Complex heatmaps reveal patterns and correlations in multidimensional genomic data

2016 5.4k citations Zuguang Gu, Roland Eils et al. Bioinformatics profile →
circlizeimplements and enhances circular visualization in R

2014 2.5k citations Zuguang Gu, Lei Gu et al. Bioinformatics profile →
Systemic Spread Is an Early Step in Breast Cancer

2008 903 citations Roland Eils, Gert Riethmüller et al. profile →
SARS ‐CoV‐2 receptor ACE 2 and TMPRSS 2 are primarily expressed in bronchial transient secretory cells

2020 703 citations Soeren Lukassen, Robert Lorenz Chua et al. The EMBO Journal profile →
Three-Dimensional Maps of All Chromosomes in Human Male Fibroblast Nuclei and Prometaphase Rosettes

2005 611 citations Roland Eils et al. profile →
Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models

2010 527 citations Roland Eils, Rainer König et al. profile →
Benchmark evaluation of DeepSeek large language models in clinical decision-making

2025 23 citations Roland Eils et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roland Eils Germany	68	14.5k	3.8k	3.4k	2.7k	2.5k	346	25.1k
Paul T. Spellman United States	40	21.9k 1.5×	3.9k 1.0×	3.9k 1.1×	3.1k 1.2×	2.6k 1.1×	114	31.1k
Mathias Uhlén Sweden	101	25.7k 1.8×	3.8k 1.0×	2.9k 0.9×	4.1k 1.5×	3.5k 1.4×	705	40.5k
Gary D. Bader Canada	69	22.9k 1.6×	2.5k 0.6×	4.4k 1.3×	2.7k 1.0×	2.5k 1.0×	211	31.7k
John Quackenbush United States	75	13.9k 1.0×	3.4k 0.9×	3.3k 1.0×	2.9k 1.1×	1.9k 0.8×	293	29.2k
Terence P. Speed Australia	83	20.2k 1.4×	2.1k 0.5×	3.8k 1.1×	5.2k 2.0×	3.1k 1.3×	378	34.9k
Sarah A. Teichmann United Kingdom	87	23.6k 1.6×	3.8k 1.0×	3.8k 1.1×	2.7k 1.0×	6.4k 2.6×	264	32.5k
Catherine A. Ball United States	29	25.2k 1.7×	1.7k 0.4×	3.6k 1.1×	4.6k 1.7×	2.5k 1.0×	48	35.3k
Kara Dolinski United States	31	28.8k 2.0×	1.8k 0.5×	3.7k 1.1×	4.6k 1.7×	2.8k 1.1×	44	38.7k
Martin Ringwald United States	29	24.5k 1.7×	1.5k 0.4×	3.4k 1.0×	4.2k 1.5×	2.5k 1.0×	57	33.8k
Judith A. Blake United States	48	26.4k 1.8×	1.6k 0.4×	3.7k 1.1×	4.9k 1.8×	2.7k 1.1×	137	36.9k

Countries citing papers authored by Roland Eils

Since Specialization

Citations

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

Fields of papers citing papers by Roland Eils

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Eils

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Eils. A scholar is included among the top collaborators of Roland Eils 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 Roland Eils. Roland Eils 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

Eils, Roland, et al.. (2025). SpatialLeiden: spatially aware Leiden clustering. Genome biology. 26(1). 24–24. 1 indexed citations

Hoffmann, Nils, Irena Maus, Sebastian Beier, et al.. (2023). Embedding the de.NBI Cloud in the National Research Data Infrastructure Activities. FreiDok plus (Universitätsbibliothek Freiburg). 1. 1 indexed citations

Stricker, Sebastian, Martin Karsten, Thomas P. Van Boeckel, et al.. (2023). RECAST: Study protocol for an observational study for the understanding of the increased REsilience of Children compared to Adults in SARS-CoV-2 infecTion. BMJ Open. 13(4). e065221–e065221.

Lukassen, Soeren, Robert Lorenz Chua, Timo B. Trefzer, et al.. (2020). SARS ‐CoV‐2 receptor ACE 2 and TMPRSS 2 are primarily expressed in bronchial transient secretory cells. The EMBO Journal. 39(10). e105114–e105114. 703 indexed citations breakdown →

Feng, Bohai, Ying Shen, Xavier Pastor Hostench, et al.. (2020). Integrative Analysis of Multi-omics Data Identified EGFR and PTGS2 as Key Nodes in a Gene Regulatory Network Related to Immune Phenotypes in Head and Neck Cancer. Clinical Cancer Research. 26(14). 3616–3628. 33 indexed citations

Hoffmann, Mareike D., Julius Upmeier zu Belzen, Zander Harteveld, et al.. (2020). Optogenetic control of Neisseria meningitidis Cas9 genome editing using an engineered, light-switchable anti-CRISPR protein. Nucleic Acids Research. 49(5). e29–e29. 33 indexed citations

Hoffmann, Mareike D., Sabine Aschenbrenner, Stefanie Große, et al.. (2019). Cell-specific CRISPR–Cas9 activation by microRNA-dependent expression of anti-CRISPR proteins. Nucleic Acids Research. 47(13). e75–e75. 85 indexed citations

Mazur, Johanna, et al.. (2019). Genetic Interactions and Tissue Specificity Modulate the Association of Mutations with Drug Response. Molecular Cancer Therapeutics. 19(3). 927–936. 6 indexed citations

Muckenhuber, Alexander, Anne Berger, Anna Melissa Schlitter, et al.. (2017). Pancreatic Ductal Adenocarcinoma Subtyping Using the Biomarkers Hepatocyte Nuclear Factor-1A and Cytokeratin-81 Correlates with Outcome and Treatment Response. Clinical Cancer Research. 24(2). 351–359. 61 indexed citations

10.

Gu, Zuguang, Roland Eils, & Matthias Schlesner. (2016). Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics. 32(18). 2847–2849. 5389 indexed citations breakdown →

11.

Sharma, Ashwini Kumar, Roland Eils, & Rainer König. (2016). Copy Number Alterations in Enzyme-Coding and Cancer-Causing Genes Reprogram Tumor Metabolism. Cancer Research. 76(14). 4058–4067. 15 indexed citations

12.

Gu, Zuguang, Lei Gu, Roland Eils, Matthias Schlesner, & Benedikt Brors. (2014). circlizeimplements and enhances circular visualization in R. Bioinformatics. 30(19). 2811–2812. 2531 indexed citations breakdown →

13.

Gladilin, Evgeny, et al.. (2014). Dissecting the contribution of actin and vimentin intermediate filaments to mechanical phenotype of suspended cells using high-throughput deformability measurements and computational modeling. Journal of Biomechanics. 47(11). 2598–2605. 30 indexed citations

14.

Paulsen, Malte, Stefan Legewie, Roland Eils, Emil Karaulanov, & Christof Niehrs. (2011). Negative feedback in the bone morphogenetic protein 4 (BMP4) synexpression group governs its dynamic signaling range and canalizes development. Proceedings of the National Academy of Sciences. 108(25). 10202–10207. 58 indexed citations

15.

Oberthuer, André, Lars Kaderali, Yvonne Kahlert, et al.. (2008). Subclassification and Individual Survival Time Prediction from Gene Expression Data of Neuroblastoma Patients by Using CASPAR. Clinical Cancer Research. 14(20). 6590–6601. 19 indexed citations

16.

Plaimas, Kitiporn, Jan‐Philipp Mallm, Marcus Oswald, et al.. (2008). Machine learning based analyses on metabolic networks supports high-throughput knockout screens. BMC Systems Biology. 2(1). 67–67. 36 indexed citations

17.

Warnat, Patrick, Roland Eils, & Benedikt Brors. (2005). Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes. BMC Bioinformatics. 6(1). 265–265. 162 indexed citations

18.

Bächer, Christian, Michaela Reichenzeller, Chaitanya A. Athale, Harald Herrmann, & Roland Eils. (2004). 4-D single particle tracking of synthetic and proteinaceous microspheres reveals preferential movement of nuclear particles along chromatin – poor tracks. BMC Cell Biology. 5(1). 45–45. 61 indexed citations

19.

Schmidt‐Kittler, Oleg, Thomas Ragg, Martin Granzow, et al.. (2003). From latent disseminated cells to overt metastasis: Genetic analysis of systemic breast cancer progression. Proceedings of the National Academy of Sciences. 100(13). 7737–7742. 493 indexed citations

20.

König, Rainer, et al.. (2002). Modelling of Information Flows in Cells. 413–417. 1 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.

Explore authors with similar magnitude of impact