Sonja Sievers

3.0k citations
96 papers · 2.0k · h-index 28

Impact in

  • Biophysics top 1%
    • Cell Image Analysis Techniques
    • Microbial Natural Products and Biosynthesis

Papers in

    • Hedgehog Signaling Pathway Studies 8
    • Cancer-related gene regulation 7
    • Ubiquitin and proteasome pathways 6
    • Epigenetics and DNA Methylation 6
    • Protein Degradation and Inhibitors 6
    • Microbial Natural Products and Biosynthesis 22

Sonja Sievers

88 papers receiving 2.0k citations

Peers

Sonja Sievers
Comparison fields: 5 of 110
  • Biophysics 195
  • Pharmacology 411
  • Biological Psychiatry 42
  • Molecular Biology 1.2k
  • Organic Chemistry 464
Replace Yi Huang with:
Yi Huang United States
Karuppaiyah Selvendiran United States
Markus D. Siegelin United States
Oliver Rath United Kingdom
Yan Lü United States
Astrid A. Ruefli Australia
Wooyoung Hur United States
Sophie Leclerc France
Chenyu Tian China
Sonja Sievers relative to Yi Huang United States Yi Huang's profile →
Citations per field
00.5×5.3×
Yi Huang · 1×
Citations per year

Countries citing papers authored by Sonja Sievers

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Sievers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sonja Sievers, 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 Sonja Sievers Line = papers co-authored together Sonja Sievers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009120
2 2018101
3 201591
4 202185
5 201982
6 201979
7 200976
8 200565
9 201753
10 200651
11 201450
12 201950
13 202149
14 201747
15 202046
16 201346
17 201845
18 202044
19 202039
20 201938

About Sonja Sievers

Sonja Sievers is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Oncology and Biophysics, having authored 96 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (22 papers), Cell Image Analysis Techniques (14 papers), Computational Drug Discovery Methods (8 papers), Hedgehog Signaling Pathway Studies (8 papers), Cancer-related gene regulation (7 papers), Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (6 papers) and Protein Degradation and Inhibitors (6 papers). The work is most often cited by research in Biophysics (195 citations), Pharmacology (411 citations), Biological Psychiatry (42 citations), Molecular Biology (1.2k citations) and Organic Chemistry (464 citations). Sonja Sievers has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Herbert Waldmann, Axel Pahl, Slava Ziegler, Oliver Müller, Carsten Strohmann, Silke Götze, Guido Reifenberger, Marietta Wolter, Claude Ostermann and Julian Wilke. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Medicinal Chemistry, ChemBioChem, Chemistry - A European Journal and Cell chemical biology.

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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