Eva Singer

490 citations
8 papers · 410 · h-index 7

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 3
    • Immune Response and Inflammation 3
    • Immune Cell Function and Interaction 3
    • Chemokine receptors and signaling 3

Eva Singer

7 papers receiving 401 citations

Peers

Eva Singer
Comparison fields: 5 of 65
  • Immunology 285
  • Biological Psychiatry 16
  • Immunology and Allergy 31
  • Oncology 119
  • Pharmacology 63
Replace Sung Gil Ha with:
Sung Gil Ha United States
Anja C. Bezemer Netherlands
Xiao Na Ge United States
Karen Mason United States
Nooshin S. Bahaie United States
Perri Rozenberg Israel
Kimberly Atianzar United States
Nick P. Goplen United States
Ali Gorgin Karaji Iran
Birgitta Sparre Sweden
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Eva Singer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Eva Singer, 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 Singer Line = papers co-authored together Eva Singer links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006181
2 200893
3 200758
4 201130
5 201221
6 201217
7 202110
8 19910

About Eva Singer

Eva Singer is a scholar working on Immunology, Oncology, Anesthesiology and Pain Medicine, Cognitive Neuroscience and Physiology, having authored 8 papers that have together received 410 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (3 papers), Immune Cell Function and Interaction (3 papers), Chemokine receptors and signaling (3 papers), Pain Management and Placebo Effect (1 paper), Pain Mechanisms and Treatments (1 paper) and Cardiac Arrest and Resuscitation (1 paper). The work is most often cited by research in Immunology (285 citations), Biological Psychiatry (16 citations), Immunology and Allergy (31 citations), Oncology (119 citations) and Pharmacology (63 citations). Eva Singer has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include Daniel F. Legler, Marcus Groettrup, Petra Krause, Elke Scandella, Markus Brückner, Janosch Klebensberger, Karin Schaeuble, Mark A. Hauser, Frank Eifinger and A. Lechleuthner. Their work appears in journals such as The Journal of Immunology, Cellular Immunology, Journal of Patient Safety, European Journal of Immunology and Journal of Leukocyte Biology.

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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