Eva Alexander

634 citations
5 papers · 534 · h-index 4

Impact in

  • Immunology top 10%
    • Psoriasis: Treatment and Pathogenesis
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Immune Response and Inflammation 2
    • interferon and immune responses 1
    • Psoriasis: Treatment and Pathogenesis 1
    • Cytokine Signaling Pathways and Interactions 2
    • Chemokine receptors and signaling 1

Eva Alexander

5 papers receiving 529 citations

Peers

Eva Alexander
Comparison fields: 5 of 80
  • Immunology 226
  • Neurology 53
  • Pathology and Forensic Medicine 107
  • Biological Psychiatry 14
  • Ecology 113
Replace Éva Pállinger with:
Éva Pállinger Hungary
Amy Guillaumet-Adkins Spain
Bill Webb United States
Yuan Tang China
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Kent J. Smith United States
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Eva Alexander relative to Éva Pállinger Hungary Éva Pállinger's profile →
Citations per field
00.5×9.7×
Éva Pállinger · 1×
Citations per year

Countries citing papers authored by Eva Alexander

Since Specialization
Citations

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

Fields of papers citing papers by Eva Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2011295
2 2008122
3 201377
4 201337
5
I kappa B zeta Is a Transcriptional Key Regulator of CCL2/MCP-1
20133

About Eva Alexander

Eva Alexander is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Ecology, having authored 5 papers that have together received 534 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune Response and Inflammation (2 papers), interferon and immune responses (1 paper), Chemokine receptors and signaling (1 paper), Psoriasis: Treatment and Pathogenesis (1 paper), Protist diversity and phylogeny (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Immunology (226 citations), Neurology (53 citations), Pathology and Forensic Medicine (107 citations), Biological Psychiatry (14 citations) and Ecology (113 citations). Eva Alexander has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Klaus Schulze‐Osthoff, Oliver C. Rothfuss, Thorsten Stoeck, Anke Behnke, Michail M. Yakimov, John Bunge, Hans‐Werner Breiner, Alexandra Stock, Robert Feil and Caishu Deng. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Journal of Cell Science and Environmental Microbiology.

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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