Nikola S. Mueller

3.2k citations
30 papers · 1.4k indexed · 1 hit paper · h-index 16
Topics
Bioinformatics and Genomic Networks (7 papers)Single-cell and spatial transcriptomics (4 papers)Gene expression and cancer classification (4 papers)

In The Last Decade

Nikola S. Mueller

30 papers receiving 1.4k citations

Hit Papers

Single-cell RNA-seq denoising using a deep count autoencoder20192026202120232019200400600

Peers

Nikola S. Mueller
Comparison fields: 5 of 115
  • Molecular Biology 1.0k
  • Cancer Research 310
  • Immunology 171
  • Biophysics 168
  • Dermatology 76
Replace Ellis Patrick with:
Ellis Patrick Australia
Dénes Türei Germany
Gabriel S. Eichler United States
Alexandra Keenan United States
Denis Torre United States
Callen T. Wallace United States
Kanako Saito Japan
Monica Nicolau United States
Patrick J. Cimino United States
Monika Ray United States
Nikola S. Mueller relative to Ellis Patrick Australia Ellis Patrick's profile →
Citations per field
00.5×4.8×
Ellis Patrick · 1×
Citations per year

Countries citing papers authored by Nikola S. Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Nikola S. Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikola S. Mueller. 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 Nikola S. Mueller. The network helps show where Nikola S. Mueller may publish in the future.

Co-authorship network of co-authors of Nikola S. Mueller

This figure shows the co-authorship network connecting the top 25 collaborators of Nikola S. Mueller. A scholar is included among the top collaborators of Nikola S. Mueller 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 Nikola S. Mueller. Nikola S. Mueller 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
#WorkIndexed citations
1 1
2 8
3 3
4 2
5
Single-cell RNA-seq denoising using a deep count autoencoderbreakdown →
611
6 18
7 59
8 3
9 83
10 113
11 37
12 49
13 57
14 25
15 20
16 21
17 57
18 25
19 10
20 5

About Nikola S. Mueller

Nikola S. Mueller is a scholar working on Dermatology, Molecular Biology and Cancer Research, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Single-cell and spatial transcriptomics (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Biophysics (168 citations), Cancer Research (310 citations) and Molecular Biology (1.0k citations). Nikola S. Mueller has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Fabian J. Theis, Maria Mircea, Gökçen Eraslan, Lukas M. Simon, Laleh Haghverdi, Christoph W. Turck, Steffen Sass, Felix Herth, Michael Thomas and Hendrik Dienemann. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

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

Rankless by CCL
2026