Cornelia Schuster

463 citations
22 papers · 315 · h-index 9

Impact in

    • 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

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Phagocytosis and Immune Regulation 4
    • Melanoma and MAPK Pathways 5

Cornelia Schuster

21 papers receiving 311 citations

Peers

Cornelia Schuster
Comparison fields: 5 of 55
  • Immunology 118
  • Oncology 99
  • Cancer Research 54
  • Physiology 12
  • Genetics 64
Replace Arun Shastry with:
Arun Shastry India
Claudia Canasto‐Chibuque United States
Els Louagie Belgium
Syuji Umeda United States
Lukas Pawig Netherlands
Tim J. Vyse United Kingdom
Olga Klimenkova Germany
Victoria Saferding Austria
Barbara Carlini Italy
Sheetal Bhan United States
Cornelia Schuster relative to Arun Shastry India Arun Shastry's profile →
Citations per field
00.5×1.5×1.8×
Arun Shastry · 1×
Citations per year

Countries citing papers authored by Cornelia Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201241
3 201034
4 201930
5 201826
6 201921
7 202120
8 201613
9 201610
10 20238
11 20188
12 20196
13 20134
14 20193
15 20183
16 20182
17 20242
18 20222
19 20232
20 20182

About Cornelia Schuster

Cornelia Schuster is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Surgery, having authored 22 papers that have together received 315 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Diabetes and associated disorders (6 papers), Melanoma and MAPK Pathways (5 papers), CAR-T cell therapy research (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Phagocytosis and Immune Regulation (4 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Immunology (118 citations), Oncology (99 citations), Cancer Research (54 citations), Physiology (12 citations) and Genetics (64 citations). Cornelia Schuster has collaborated with scholars based in Norway, Germany and United States. Frequent co-authors include Oddbjørn Straume, Lars A. Akslen, Stephan Kissler, Anna Ruckdeschel, Kilian Schober, Kevin Boerner, Thomas Serwold, Mi‐Jeong Kim, Bernhard O. Boehm and Reinhold Schirmbeck. Their work appears in journals such as PLoS ONE, Annals of Oncology, Scientific Reports, Genes and Immunity and Diabetes.

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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