Martina Sauert

481 citations
12 papers · 369 indexed · h-index 10
Topics
RNA and protein synthesis mechanisms (10 papers)Bacterial Genetics and Biotechnology (6 papers)RNA modifications and cancer (5 papers)

In The Last Decade

Martina Sauert

12 papers receiving 367 citations

Peers

Martina Sauert
Comparison fields: 5 of 57
  • Molecular Biology 304
  • Genetics 77
  • Ecology 44
  • Oncology 31
  • Immunology 31
Replace Kim K. McCaughan with:
Kim K. McCaughan New Zealand
Yukimatsu Toh United States
Heike Bauerschmitt Germany
Tracy L. Ripmaster United States
Nikhil Kumar Tulsian Singapore
Dejiu Zhang China
Valentina Guerrini United States
Renato Robledo Italy
Cristina Barbosa Portugal
Nancy S. Gutgsell United States
Martina Sauert relative to Kim K. McCaughan New Zealand Kim K. McCaughan's profile →
Citations per field
00.5×3.1×
Kim K. McCaughan · 1×
Citations per year

Countries citing papers authored by Martina Sauert

Since Specialization
Citations

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

Fields of papers citing papers by Martina Sauert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Sauert

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 42
3 38
4 11
5 12
6 35
7 15
8
Selective translation of leaderless mRNAs by specialized ribosomes upon MazF-mediated stress response in Escherichia coli.
1
9 60
10 53
11 58
12 42

About Martina Sauert

Martina Sauert is a scholar working on Genetics, Molecular Biology and Cell Biology, having authored 12 papers that have together received 369 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Bacterial Genetics and Biotechnology (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (304 citations), Genetics (77 citations) and Endocrinology (12 citations). Martina Sauert has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Isabella Moll, Christian Müller, Oliver Vesper, Joachim Griesenbeck, Philipp Milkereit, Uli Ohmayer, Herbert Tschochner, Jorge Pérez-Fernández, Michael T. Wolfinger and Konstantin Byrgazov. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular and Cellular Cardiology.

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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