Sophia Müller‐Dott

26 total papers · 1.7k total citations
9 papers, 579 citations indexed

About

Sophia Müller‐Dott is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Sophia Müller‐Dott has authored 9 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Oncology. Recurrent topics in Sophia Müller‐Dott's work include Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (3 papers) and Single-cell and spatial transcriptomics (3 papers). Sophia Müller‐Dott is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (3 papers) and Single-cell and spatial transcriptomics (3 papers). Sophia Müller‐Dott collaborates with scholars based in Germany, United Kingdom and United States. Sophia Müller‐Dott's co-authors include Julio Sáez-Rodríguez, Ricardo O. Ramirez Flores, Pau Badia-i-Mompel, Aurélien Dugourd, Petr Tauš, Daniel Dimitrov, Jana M. Braunger, Celina Geiß, Christian H. Holland and Rémi Trimbour and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Sophia Müller‐Dott

8 papers receiving 577 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sophia Müller‐Dott 375 118 70 63 42 9 579
Pau Badia-i-Mompel 410 1.1× 129 1.1× 74 1.1× 65 1.0× 41 1.0× 9 641
Nancy George 476 1.3× 65 0.6× 89 1.3× 62 1.0× 46 1.1× 8 662
Jayson Harshbarger 500 1.3× 153 1.3× 112 1.6× 103 1.6× 41 1.0× 6 660
Anne Senabouth 450 1.2× 117 1.0× 98 1.4× 42 0.7× 100 2.4× 15 587
Daniel Dimitrov 379 1.0× 168 1.4× 74 1.1× 91 1.4× 17 0.4× 12 624
Moshe C. Silverstein 424 1.1× 56 0.5× 104 1.5× 55 0.9× 71 1.7× 7 632
B. Hilda Ye 452 1.2× 122 1.0× 100 1.4× 149 2.4× 34 0.8× 14 685
Helena L. Crowell 382 1.0× 159 1.3× 76 1.1× 65 1.0× 20 0.5× 11 561
Boris Troyanovsky 367 1.0× 59 0.5× 119 1.7× 85 1.3× 42 1.0× 9 612
Elena Denisenko 519 1.4× 160 1.4× 162 2.3× 82 1.3× 28 0.7× 13 649

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

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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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