Ursula Sauder

2.5k citations
34 papers · 1.8k · h-index 22

Impact in

Papers in

    • RNA Research and Splicing 7
    • Nuclear Structure and Function 7
    • Genomics and Chromatin Dynamics 4
    • Biochemical and Molecular Research 4
    • Enzyme Structure and Function 8

Ursula Sauder

34 papers receiving 1.8k citations

Peers

Ursula Sauder
Comparison fields: 5 of 98
  • Aging 62
  • Parasitology 146
  • Biochemistry 138
  • Molecular Biology 1.2k
  • Cell Biology 227
Replace Vera Kozjak‐Pavlovic with:
Vera Kozjak‐Pavlovic Germany
Christophe Anjard United States
Yibin Xu Australia
Santanu Datta India
Mirita Franz‐Wachtel Germany
Christiane Rondeau Canada
Jean‐Jacques Diaz France
Sharon Y. Roth United States
Hermann Schätzl Germany
Dusanka Deretic United States
Ursula Sauder relative to Vera Kozjak‐Pavlovic Germany Vera Kozjak‐Pavlovic's profile →
Citations per field
00.5×3.1×
Vera Kozjak‐Pavlovic · 1×
Citations per year

Countries citing papers authored by Ursula Sauder

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Sauder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ursula Sauder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ursula Sauder Line = papers co-authored together Ursula Sauder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994172
2 2003169
3 2005148
4 2008135
5 2010121
6 2004118
7 2002116
8 201091
9 200489
10 201476
11 201568
12 200562
13
Visualizing nuclear export of different classes of RNA by electron microscopy.
199744
14 200843
15 200732
16 200131
17 199930
18 201829
19 201427
20 201625

About Ursula Sauder

Ursula Sauder is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Aging and Biochemistry, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), RNA Research and Splicing (7 papers), Nuclear Structure and Function (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Genomics and Chromatin Dynamics (4 papers), Biochemical and Molecular Research (4 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Aging (62 citations), Parasitology (146 citations), Biochemistry (138 citations), Molecular Biology (1.2k citations) and Cell Biology (227 citations). Ursula Sauder has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Birthe Fahrenkrog, Ueli Aebi, Johan N. Jansonius, Joachim Jäger, Markus Moser, Christoph Dehio, Markus Dürrenberger, Katharine S. Ullman, Bohumil Maco and Joachim Köser. Their work appears in journals such as Journal of Molecular Biology, Molecular Biology of the Cell, PLoS ONE, Journal of Cell Science and Zoomorphology.

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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