Miriam Sonntag

426 citations
8 papers · 331 indexed · h-index 5
Topics
RNA and protein synthesis mechanisms (5 papers)Machine Learning in Bioinformatics (3 papers)Biochemical and Structural Characterization (3 papers)
Partner nations
GermanyFranceSpain

In The Last Decade

Miriam Sonntag

7 papers receiving 327 citations

Peers

Miriam Sonntag
Comparison fields: 5 of 46
  • Molecular Biology 310
  • Materials Chemistry 85
  • Spectroscopy 46
  • Oncology 20
  • Immunology 15
Replace T. Tomizawa with:
T. Tomizawa Japan
Thomas Lenz Germany
Sarata C. Sahu United States
Е. В. Чихиржина Russia
Reto Walser Switzerland
Swarnendu Tripathi United States
Anaïs M. E. Cassaignau United Kingdom
Dean Strotz Switzerland
Andrew M. Lipchik United States
Miriam Sonntag relative to T. Tomizawa Japan T. Tomizawa's profile →
Citations per field
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T. Tomizawa · 1×
Citations per year

Countries citing papers authored by Miriam Sonntag

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Sonntag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Sonntag

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 45
2 3
3 74
4 94
5 70
6 44
7
Jahrgangsübergreifender und inklusiver Unterricht in der Praxis
1
8
Gemeinsam nicht einsam! Erziehungswissenschaftliche Forschung zwischen Sonderpädagogik und inklusivem Anspruch
0

About Miriam Sonntag

Miriam Sonntag is a scholar working on Molecular Biology, Education and Sociology and Political Science, having authored 8 papers that have together received 331 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Machine Learning in Bioinformatics (3 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Molecular Biology (310 citations), Spectroscopy (46 citations) and Materials Chemistry (85 citations). Miriam Sonntag has collaborated with scholars based in Germany, France and Spain. Frequent co-authors include Janosch Hennig, Michael Sattler, Iren Wang, Frank Gabel, Pravin Kumar Ankush Jagtap, Arie Geerlof, Lee Freiburger, Jian Li, Peijian Zou and Juan Valcárcel. Their work appears in journals such as Nature, Nucleic Acids Research and Angewandte Chemie International Edition.

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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