Sabine Häcker

695 citations
12 papers · 549 · h-index 10

Impact in

    • NF-κB Signaling Pathways
    • Cell death mechanisms and regulation
    • Histone Deacetylase Inhibitors Research
    • Epigenetics and DNA Methylation
    • Protein Degradation and Inhibitors
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

    • Cell death mechanisms and regulation 6
    • Histone Deacetylase Inhibitors Research 3
    • RNA Interference and Gene Delivery 3
    • Protein Degradation and Inhibitors 2
    • DNA Repair Mechanisms 1
    • Cancer Genomics and Diagnostics 2
    • MicroRNA in disease regulation 2

Sabine Häcker

12 papers receiving 542 citations

Peers

Sabine Häcker
Comparison fields: 5 of 62
  • Cancer Research 87
  • Molecular Biology 398
  • Immunology 83
  • Genetics 39
  • Oncology 87
Replace Jeng‐Shou Chang with:
Jeng‐Shou Chang Taiwan
Tiziana Tonini United States
Antònia Obrador‐Hevia Spain
Jinhui Wang United States
Justina McEvoy United States
Valgarður Sigurðsson Sweden
Dubravka Donjerković United States
Irene Bertolini United States
Jingshu Geng China
Sun Joo Lee South Korea
Sabine Häcker relative to Jeng‐Shou Chang Taiwan Jeng‐Shou Chang's profile →
Citations per field
00.5×1.5×1.9×
Jeng‐Shou Chang · 1×
Citations per year

Countries citing papers authored by Sabine Häcker

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Häcker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200988
2 201387
3 201269
4 200758
5 200955
6 201146
7 200440
8 201539
9 200633
10 201129
11 20184
12 20121

About Sabine Häcker

Sabine Häcker is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Immunology, having authored 12 papers that have together received 549 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Histone Deacetylase Inhibitors Research (3 papers), RNA Interference and Gene Delivery (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), MicroRNA in disease regulation (2 papers), Glioma Diagnosis and Treatment (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (87 citations), Molecular Biology (398 citations), Immunology (83 citations), Genetics (39 citations) and Oncology (87 citations). Sabine Häcker has collaborated with scholars based in Germany, Japan and Australia. Frequent co-authors include Simone Fulda, Heike Krebber, Silvia Cristofanon, Klaus‐Michael Debatin, T. Schweitzer, Stefan Rutkowski, Jürgen Krauß, Sabine Karl, Anna‐Maria Dittrich and Andrea Mohr. Their work appears in journals such as Oncogene, Cancer Research, Journal of Biological Chemistry, Anti-Cancer Drugs and Oncotarget.

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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