Sophia Müller‐Dott

1.8k citations
9 papers · 625 indexed · 2 hit papers · h-index 6
Topics
Bioinformatics and Genomic Networks (6 papers)Single-cell and spatial transcriptomics (3 papers)Gene Regulatory Network Analysis (3 papers)

In The Last Decade

Sophia Müller‐Dott

8 papers receiving 623 citations

Hit Papers

decoupleR: ensemble of computational methods to infer bio...202220262023202420222023100200300

Peers

Sophia Müller‐Dott
Comparison fields: 5 of 69
  • Molecular Biology 402
  • Immunology 126
  • Cancer Research 72
  • Oncology 66
  • Genetics 46
Replace Pau Badia-i-Mompel with:
Pau Badia-i-Mompel Germany
Daniel Dimitrov Germany
Zhuoqing Fang United States
Cameron G. Williams Australia
Takahiro Asatsuma Australia
Congxue Hu China
Annick Waldt Switzerland
Mahmoud M. Ibrahim Germany
Vince Carey United States
Jayson Harshbarger Japan
Sophia Müller‐Dott relative to Pau Badia-i-Mompel Germany Pau Badia-i-Mompel's profile →
Citations per field
00.5×1.5×
Pau Badia-i-Mompel · 1×
Citations per year

Countries citing papers authored by Sophia Müller‐Dott

Since Specialization
Citations

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

Fields of papers citing papers by Sophia Müller‐Dott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sophia Müller‐Dott. 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 Sophia Müller‐Dott. The network helps show where Sophia Müller‐Dott may publish in the future.

Co-authorship network of co-authors of Sophia Müller‐Dott

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4
Gene regulatory network inference in the era of single-cell multi-omicsbreakdown →
174
5 91
6 31
7 15
8 9
9
decoupleR: ensemble of computational methods to infer biological activities from omics databreakdown →
302

About Sophia Müller‐Dott

Sophia Müller‐Dott is a scholar working on Biophysics, Computational Theory and Mathematics and Hepatology, having authored 9 papers that have together received 625 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Single-cell and spatial transcriptomics (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Biophysics (36 citations), Immunology (126 citations) and Molecular Biology (402 citations). Sophia Müller‐Dott has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Julio Sáez-Rodríguez, Ricardo O. Ramirez Flores, Pau Badia-i-Mompel, Aurélien Dugourd, Daniel Dimitrov, Jana M. Braunger, Christian H. Holland, Petr Tauš, Celina Geiß and Rémi Trimbour. 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.

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