Olivia Simma

800 citations
11 papers · 660 · h-index 11

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Immunotherapy and Immune Responses
    • Cytokine Signaling Pathways and Interactions
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3
    • Cytokine Signaling Pathways and Interactions 2
    • Cancer Immunotherapy and Biomarkers 1

Olivia Simma

11 papers receiving 656 citations

Peers

Olivia Simma
Comparison fields: 5 of 39
  • Immunology 356
  • Oncology 153
  • Hematology 88
  • Genetics 20
  • Virology 8
Replace Julie Bollenbacher with:
Julie Bollenbacher United States
Kenichi Aoki Japan
Kouji Kato Japan
Barbara Stein Belgium
Hoainam T. Nguyen-Jackson United States
Evelyn M. Rabin United States
Valérie Schiavon France
Deborah Clarke United Kingdom
Corina Buechele United States
B L Nuccie United States
Olivia Simma relative to Julie Bollenbacher United States Julie Bollenbacher's profile →
Citations per field
00.5×2×3×3.8×
Julie Bollenbacher · 1×
Citations per year

Countries citing papers authored by Olivia Simma

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Simma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2010183
2 2006176
3 201255
4 200838
5 200936
6 201233
7 201131
8 200930
9 201130
10 200828
11 200720

About Olivia Simma

Olivia Simma is a scholar working on Immunology, Oncology, Hematology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 660 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (356 citations), Oncology (153 citations), Hematology (88 citations), Genetics (20 citations) and Virology (8 citations). Olivia Simma has collaborated with scholars based in Austria, Germany and Hungary. Frequent co-authors include Veronika Sexl, Wolfgang Warsch, Dagmar Stoiber, Eva Eckelhart, Eva Zebedin, Thomas Rülicke, Andrea Hoelbl‐Kovacic, Thomas Kolbe, Boris Kovačic and Hartmut Beug. Their work appears in journals such as Blood, The Journal of Immunology, Cancer Research, Vaccine and Oncogene.

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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