Ieva Usaite

471 citations
8 papers · 355 · h-index 4

Impact in

    • interferon and immune responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Cancer Genomics and Diagnostics 3
    • interferon and immune responses 1
    • Immunotherapy and Immune Responses 1

Ieva Usaite

8 papers receiving 351 citations

Peers

Ieva Usaite
Comparison fields: 5 of 40
  • Immunology 223
  • Oncology 115
  • Physiology 20
  • Cancer Research 41
  • Infectious Diseases 45
Replace Lee S. Gottesdiener with:
Lee S. Gottesdiener United States
Princesca Dorsaint United States
Mark Yungjie Jeng United States
Cassidy E. Hagan United States
Colin Sparano Switzerland
Eileen Haring Germany
Razi Quadir Netherlands
Puiyi Pang United States
Hristo Georgiev Germany
Giulia Lucchiari Switzerland
Ieva Usaite relative to Lee S. Gottesdiener United States Lee S. Gottesdiener's profile →
Citations per field
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Lee S. Gottesdiener · 1×
Citations per year

Countries citing papers authored by Ieva Usaite

Since Specialization
Citations

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

Fields of papers citing papers by Ieva Usaite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2020244
2 202292
3 20246
4 20254
5 20254
6 20232
7 20252
8 20261

About Ieva Usaite

Ieva Usaite is a scholar working on Cancer Research, Immunology, Oncology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 355 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), interferon and immune responses (1 paper), CAR-T cell therapy research (1 paper), Cancer-related Molecular Pathways (1 paper), Immunotherapy and Immune Responses (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Immunology (223 citations), Oncology (115 citations), Physiology (20 citations), Cancer Research (41 citations) and Infectious Diseases (45 citations). Ieva Usaite has collaborated with scholars based in United Kingdom, Israel and Denmark. Frequent co-authors include Mihaela Angelova, Crispin T. Hiley, Nicolai J. Birkbak, Charles Swanton, Kevin Litchfield, Oriol Pich, Marleen Kok, Nnennaya Kanu, Simone Zaccaria and Clare Puttick. Their work appears in journals such as Nature Cancer, Nature Genetics, Journal for ImmunoTherapy of Cancer, Cancer Discovery and Nature Cell 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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