Sabine Hoeppner

685 citations
8 papers · 525 · h-index 5

Impact in

    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Fungal and yeast genetics research
    • Ubiquitin and proteasome pathways

Papers in

    • Genomics and Chromatin Dynamics 3
    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 2
    • Glycosylation and Glycoproteins Research 1
    • Ubiquitin and proteasome pathways 1
    • Numerical methods for differential equations 2

Sabine Hoeppner

8 papers receiving 516 citations

Peers

Sabine Hoeppner
Comparison fields: 5 of 60
  • Molecular Biology 421
  • Endocrinology 31
  • Cell Biology 46
  • Aging 5
  • Virology 12
Replace Katharina Haneke with:
Katharina Haneke Germany
Gurjit Sidhu United States
Cecelia L. Green United States
Tracy Nissan Sweden
Łukasz Kniżewski Poland
Claudio Pathe United Kingdom
Masha M. Rosenberg United States
Mae Joanne Rosok United States
Yamini M. Ohol United States
Genoveva Nacheva Bulgaria
Sabine Hoeppner relative to Katharina Haneke Germany Katharina Haneke's profile →
Citations per field
00.5×2.8×
Katharina Haneke · 1×
Citations per year

Countries citing papers authored by Sabine Hoeppner

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Hoeppner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Sabine Hoeppner, 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 Sabine Hoeppner Line = papers co-authored together Sabine Hoeppner links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Sabine Hoeppner

Sabine Hoeppner is a scholar working on Molecular Biology, Numerical Analysis, Oncology, Small Animals and Mathematical Physics, having authored 8 papers that have together received 525 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), Numerical methods for differential equations (2 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Topics in Algebra (1 paper), Glycosylation and Glycoproteins Research (1 paper), NF-κB Signaling Pathways (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (421 citations), Endocrinology (31 citations), Cell Biology (46 citations), Aging (5 citations) and Virology (12 citations). Sabine Hoeppner has collaborated with scholars based in Germany and Canada. Frequent co-authors include Patrick Cramer, Sonja Baumli, Tomislav Kamenski, Anton Meinhart, Laurent Larivière, S. Geiger, Susanne Röther, Katja Sträßer, Christian Baron and Durga Sivanesan. Their work appears in journals such as manuscripta mathematica, Journal of Biological Chemistry, Nature Structural & Molecular Biology, Chemico-Biological Interactions and Genes & Development.

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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