Roland Eils

115.4k citations
346 papers · 25.1k indexed · 7 hit papers · h-index 68
  • Biophysics top 0.1%
    • Cell Image Analysis Techniques 47
    • Advanced Fluorescence Microscopy Techniques 27
    • Cancer Genomics and Diagnostics 22
    • Genomics and Chromatin Dynamics 45
    • Gene expression and cancer classification 31
    • Bioinformatics and Genomic Networks 30
    • Single-cell and spatial transcriptomics 23
  • Oncology top 0.5%
  • Immunology top 0.5%
    • Genomic variations and chromosomal abnormalities 22

Roland Eils

338 papers receiving 24.7k citations

Hit Papers

Bench...23200520262012201910002.0k3.0k4.0k5.0k

Peers

Roland Eils
Comparison fields: 5 of 221
  • Biophysics 1.4k
  • Cancer Research 3.4k
  • Molecular Biology 14.5k
  • Oncology 3.8k
  • Immunology 2.5k
Replace Sarah A. Teichmann with:
Sarah A. Teichmann United Kingdom
Mathias Uhlén Sweden
Fabian J. Theis Germany
Peter K. Sorger United States
Michael Boutros Germany
Garry P. Nolan United States
John C. Marioni United Kingdom
Terence P. Speed Australia
Avi Ma’ayan United States
John H. Morris United States
Roland Eils relative to Sarah A. Teichmann United Kingdom Sarah A. Teichmann's profile →
Citations per field
00.5×1.5×
Sarah A. Teichmann · 1×
Citations per year

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

The 25 scholars most cited alongside Roland Eils, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roland Eils Line = papers co-authored together Roland Eils links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20230
4 202215
5 20224
6 202175
7 20216
8 2020109
9 20206
10 201985
11 20196
12 2018158
13 201761
14 201615
15 201514
16 201520
17 201158
18 200938
19 200819
20 2003493

About Roland Eils

Roland Eils is a scholar working on Biophysics, Molecular Biology and Cancer Research, having authored 346 papers that have together received 25.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (47 papers), Genomics and Chromatin Dynamics (45 papers), Gene expression and cancer classification (31 papers), Bioinformatics and Genomic Networks (30 papers), Advanced Fluorescence Microscopy Techniques (27 papers), Single-cell and spatial transcriptomics (23 papers), Cancer Genomics and Diagnostics (22 papers) and Genomic variations and chromosomal abnormalities (22 papers). The work is most often cited by research in Biophysics (1.4k citations), Cancer Research (3.4k citations) and Molecular Biology (14.5k citations). Roland Eils has collaborated with scholars based in Germany, United States and United Kingdom. Frequent 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. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Nucleic Acids Research, Nature Communications and PLoS ONE.

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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