Olivia Simma

789 citations
11 papers · 636 · h-index 11

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 2
    • Immune Response and Inflammation 2
    • Cytokine Signaling Pathways and Interactions 4
    • CAR-T cell therapy research 2

Olivia Simma

11 papers receiving 631 citations

Peers

Olivia Simma
Comparison fields: 5 of 55
  • Immunology 403
  • Hematology 115
  • Oncology 247
  • Genetics 90
  • Cancer Research 51
Replace Mayumi Onishi with:
Mayumi Onishi Japan
Yingzhe Yu China
Marijke Valkhof Netherlands
K Pouwels Netherlands
Betty Li United States
Mette Ilander Finland
Matthias Krusch Germany
Hart S. Dengler United States
Junichiro Yuda Japan
Tina Nuebling Germany
Olivia Simma relative to Mayumi Onishi Japan Mayumi Onishi's profile →
Citations per field
00.5×
Mayumi Onishi · 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 2006174
2 2010173
3 201249
4 200838
5 200936
6 201231
7 200930
8 200828
9 201128
10 201128
11 200721

About Olivia Simma

Olivia Simma is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 11 papers that have together received 636 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Cytokine Signaling Pathways and Interactions (4 papers), T-cell and B-cell Immunology (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immune Response and Inflammation (2 papers), CAR-T cell therapy research (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Immunology (403 citations), Hematology (115 citations), Oncology (247 citations), Genetics (90 citations) and Cancer Research (51 citations). Olivia Simma has collaborated with scholars based in Austria, Germany and Czechia. Frequent co-authors include Veronika Sexl, Wolfgang Warsch, Dagmar Stoiber, Eva Eckelhart, Eva Zebedin, Andrea Hoelbl‐Kovacic, Thomas Kolbe, Thomas Rülicke, Boris Kovačic and Lothar Hennighausen. Their work appears in journals such as Blood, PLoS ONE, OncoImmunology, The Journal of Immunology 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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