Eva Zebedin

644 citations
15 papers · 524 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Cytokine Signaling Pathways and Interactions
    • CAR-T cell therapy research

Papers in

    • Ion channel regulation and function 7
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cytokine Signaling Pathways and Interactions 2

Eva Zebedin

15 papers receiving 517 citations

Peers

Eva Zebedin
Comparison fields: 5 of 74
  • Immunology 251
  • Oncology 139
  • Genetics 44
  • Hematology 37
  • Molecular Biology 227
Replace Josephine Schembri-King with:
Josephine Schembri-King United States
Junfeng Wu China
Jean-Paul Rémy-Martin France
Patrick Eulitt United States
Dror Alishekevitz Israel
Kathryn Austgen United States
Guo Ding Japan
Nathalie Delvoye Canada
Pazit Salamon Israel
Cathy Quemener France
Eva Zebedin relative to Josephine Schembri-King United States Josephine Schembri-King's profile →
Citations per field
00.5×7.2×
Josephine Schembri-King · 1×
Citations per year

Countries citing papers authored by Eva Zebedin

Since Specialization
Citations

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

Fields of papers citing papers by Eva Zebedin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010169
2 201056
3 201046
4 200340
5 200838
6 200828
7 200425
8 200421
9 200819
10 200519
11 200719
12 200618
13 200714
14 20089
15 20083

About Eva Zebedin

Eva Zebedin is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 524 indexed citations. Recurring topics across this work include Ion channel regulation and function (7 papers), Cardiac electrophysiology and arrhythmias (4 papers), Immune Cell Function and Interaction (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Neuroscience and Neural Engineering (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Immunology (251 citations), Oncology (139 citations), Genetics (44 citations), Hematology (37 citations) and Molecular Biology (227 citations). Eva Zebedin has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Veronika Sexl, Olivia Simma, Dagmar Stoiber, Eva Eckelhart, Wolfgang Warsch, Emilio Casanova, Hannes Todt, Karlheinz Hilber, Thomas Rülicke and Mathias Mueller. Their work appears in journals such as Blood, Pflügers Archiv - European Journal of Physiology, Journal of Leukocyte Biology, Naunyn-Schmiedeberg s Archives of Pharmacology and American Journal of Roentgenology.

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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