Sonja Baumli

2.3k citations
19 papers · 1.8k · h-index 17

Impact in

  • Virology top 5%
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Protein Degradation and Inhibitors
    • Ubiquitin and proteasome pathways

Papers in

    • RNA modifications and cancer 6
    • Genomics and Chromatin Dynamics 5
    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 4
    • Biochemical and Molecular Research 3
    • Cancer-related Molecular Pathways 9

Sonja Baumli

19 papers receiving 1.8k citations

Peers

Sonja Baumli
Comparison fields: 5 of 88
  • Virology 97
  • Molecular Biology 1.3k
  • Oncology 381
  • Cell Biology 174
  • Structural Biology 9
Replace Sharlyn J. Mazur with:
Sharlyn J. Mazur United States
Venkatasubramanian Dharmarajan United States
Radosław P. Nowak United States
Maria Sunnerhagen Sweden
Yo Matsuo Japan
Stephanie Blencke Germany
Joseph W. Leone United States
Pedro M. Enríquez‐Navas United States
Antony W. Oliver United Kingdom
Simon Bergqvist United States
Sonja Baumli relative to Sharlyn J. Mazur United States Sharlyn J. Mazur's profile →
Citations per field
00.5×1.5×1.8×
Sharlyn J. Mazur · 1×
Citations per year

Countries citing papers authored by Sonja Baumli

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Baumli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2008291
2 2005266
3 2008222
4 2007169
5 2013105
6 201296
7 201093
8 201190
9 201068
10 200561
11 201256
12 201252
13 200847
14 200544
15 201442
16 201035
17 201228
18 20109
19 20081

About Sonja Baumli

Sonja Baumli is a scholar working on Molecular Biology, Oncology, Genetics, Genetics and Materials Chemistry, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), RNA modifications and cancer (6 papers), Genomics and Chromatin Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Biochemical and Molecular Research (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Virology (97 citations), Molecular Biology (1.3k citations), Oncology (381 citations), Cell Biology (174 citations) and Structural Biology (9 citations). Sonja Baumli has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Patrick Cramer, Sabine Hoeppner, Jane Endicott, Tomislav Kamenski, L.N. Johnson, Anton Meinhart, Alison J. Hole, Graziano Lolli, E.D. Lowe and Sonia Troiani. Their work appears in journals such as Journal of Medicinal Chemistry, The EMBO Journal, Cell, PLoS ONE and Nucleic Acids Research.

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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