Eva Singer

494 citations
8 papers · 421 · 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
    • Immune Response and Inflammation 3
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 3
    • Chemokine receptors and signaling 3

Eva Singer

7 papers receiving 413 citations

Peers

Eva Singer
Comparison fields: 5 of 60
  • Immunology 285
  • Biological Psychiatry 16
  • Oncology 119
  • Immunology and Allergy 27
  • Pharmacology 62
Replace Karen Henjum with:
Karen Henjum Norway
Anja C. Bezemer Netherlands
Perri Rozenberg Israel
Melissa K. Middleton United States
Cunjing Yu United Kingdom
Sumithra Subramaniam United Kingdom
Myrthel E. Hargrove United States
Vasundhara Singh United States
Alina Ulezko Antonova United States
Junbo Hu China
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Citations per field
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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 2006185
2 200895
3 200759
4 201133
5 201222
6 201217
7 202110
8 19910

About Eva Singer

Eva Singer is a scholar working on Immunology, Oncology, Anesthesiology and Pain Medicine, Emergency Medical Services and Cognitive Neuroscience, having authored 8 papers that have together received 421 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Immune Response and Inflammation (3 papers), Chemokine receptors and signaling (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (3 papers), Patient Safety and Medication Errors (1 paper), Pain Management and Placebo Effect (1 paper) and Pain Management and Opioid Use (1 paper). The work is most often cited by research in Immunology (285 citations), Biological Psychiatry (16 citations), Oncology (119 citations), Immunology and Allergy (27 citations) and Pharmacology (62 citations). Eva Singer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Daniel F. Legler, Marcus Groettrup, Petra Krause, Elke Scandella, Markus Brückner, Janosch Klebensberger, Mark A. Hauser, Karin Schäuble, Frank Wappler and Frank Eifinger. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Cellular Immunology, Journal of Leukocyte Biology and Journal of Patient Safety.

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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