Olivia Simma

779 citations
11 papers · 622 indexed · h-index 11

Impact in

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

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 3
    • Immune Response and Inflammation 2
    • interferon and immune responses 1
    • Cytokine Signaling Pathways and Interactions 4
    • CAR-T cell therapy research 3

Olivia Simma

11 papers receiving 618 citations

Peers

Olivia Simma
Comparison fields: 5 of 57
  • Immunology 410
  • Hematology 121
  • Oncology 262
  • Genetics 93
  • Cancer Research 54
Replace Chiara Gentilini with:
Chiara Gentilini Germany
Mayumi Onishi Japan
Marijke Valkhof Netherlands
Tina Nuebling Germany
Matthias Krusch Germany
Junichiro Yuda Japan
Hart S. Dengler United States
Tina Baessler Germany
Simon Bornschein Belgium
Paola Castiglioni United States
Olivia Simma relative to Chiara Gentilini Germany Chiara Gentilini's profile →
Citations per field
00.5×1.5×
Chiara Gentilini · 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 2010169
2 2006168
3 201249
4 200838
5 200935
6 201231
7 200930
8 200828
9 201128
10 201127
11 200719

About Olivia Simma

Olivia Simma is a scholar working on Immunology, Oncology, Genetics, Pathology and Forensic Medicine and Hematology, having authored 11 papers that have together received 622 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Cytokine Signaling Pathways and Interactions (4 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immune Response and Inflammation (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (410 citations), Hematology (121 citations), Oncology (262 citations), Genetics (93 citations) and Cancer Research (54 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 Rülicke, Thomas Kolbe, Boris Kovačic and Emilio Casanova. Their work appears in journals such as Blood, The Journal of Immunology, Cancer Research, Oncogene and Vaccine.

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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