S.A. Eberle

418 citations
8 papers · 311 · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Receptor Mechanisms and Signaling
    • RNA Research and Splicing

Papers in

    • Receptor Mechanisms and Signaling 5
    • RNA modifications and cancer 2
    • Lipid Membrane Structure and Behavior 1
    • Chemokine receptors and signaling 4
    • Cytokine Signaling Pathways and Interactions 1

S.A. Eberle

8 papers receiving 309 citations

Peers

S.A. Eberle
Comparison fields: 5 of 47
  • Cancer Research 81
  • Molecular Biology 276
  • Cellular and Molecular Neuroscience 43
  • Oncology 49
  • Radiology, Nuclear Medicine and Imaging 39
Replace Qinqin Ji with:
Qinqin Ji United States
Maximiliano M. Portal France
Carlos Martinez United States
Stephanie Q. Hutsell United States
Sandrine Ferrand Switzerland
Jeannie L. Hernandez United States
Samantha M. Meyer United States
Merav D. Shmueli Israel
Katie Ellard Tanzania
Jonathan Martínez‐Fábregas Spain
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Citations per field
00.5×3.3×
Qinqin Ji · 1×
Citations per year

Countries citing papers authored by S.A. Eberle

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Eberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.A. Eberle. 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 S.A. Eberle. The network helps show where S.A. Eberle may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2020144
2 202245
3 201943
4 202140
5 202226
6 20226
7 20246
8 20221

About S.A. Eberle

S.A. Eberle is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 311 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Chemokine receptors and signaling (4 papers), RNA modifications and cancer (2 papers), Neuropeptides and Animal Physiology (2 papers), Hypothalamic control of reproductive hormones (1 paper), T-cell and B-cell Immunology (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cancer Research (81 citations), Molecular Biology (276 citations), Cellular and Molecular Neuroscience (43 citations), Oncology (49 citations) and Radiology, Nuclear Medicine and Imaging (39 citations). S.A. Eberle has collaborated with scholars based in Denmark, Switzerland and United States. Frequent co-authors include R.K. Bedi, L. Wiedmer, Amedeo Caflisch, Danzhi Huang, Martin Gustavsson, P. Sledz, Dawid Deneka, Anthony A. Kossiakoff, Peer R. E. Mittl and Christoph Klenk. Their work appears in journals such as Science Advances, Analytical Chemistry, The FASEB Journal, Cells and ChemMedChem.

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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