Eva Weisz

586 citations
11 papers · 487 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cytokine Signaling Pathways and Interactions 6
    • Immune Cell Function and Interaction 6

Eva Weisz

11 papers receiving 480 citations

Peers

Eva Weisz
Comparison fields: 5 of 57
  • Immunology 201
  • Oncology 221
  • Genetics 67
  • Hematology 49
  • Pathology and Forensic Medicine 68
Replace Jean-Paul Rémy-Martin with:
Jean-Paul Rémy-Martin France
Tetsuharu Shinjyo Japan
Catherine Simpson United States
Toshiko Yamochi Japan
Daniel Fitzsimmons United States
P A Algate United States
Georgina Berrozpe United States
JM Heward United Kingdom
Frank J.G. Scherpen Netherlands
Gregory B. Carey United States
Eva Weisz relative to Jean-Paul Rémy-Martin France Jean-Paul Rémy-Martin's profile →
Citations per field
00.5×1.6×
Jean-Paul Rémy-Martin · 1×
Citations per year

Countries citing papers authored by Eva Weisz

Since Specialization
Citations

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

Fields of papers citing papers by Eva Weisz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006128
2 200368
3 200452
4 200452
5 200144
6 200838
7 200828
8 200326
9 200626
10 200719
11 19906

About Eva Weisz

Eva Weisz is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Genetics, having authored 11 papers that have together received 487 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Immune Cell Function and Interaction (6 papers), NF-κB Signaling Pathways (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Ubiquitin and proteasome pathways (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Ion channel regulation and function (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (201 citations), Oncology (221 citations), Genetics (67 citations), Hematology (49 citations) and Pathology and Forensic Medicine (68 citations). Eva Weisz has collaborated with scholars based in Austria, United States and France. Frequent co-authors include Veronika Sexl, Michael Freissmuth, Dagmar Stoiber, Boris Kovačic, René G. Ott, Richard Moriggl, David E. Levy, Hartmut Beug, Michaela Artwohl and Christian Schuster. Their work appears in journals such as Blood, Journal of Clinical Investigation, Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry and Cancer 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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