Uwe Appelt

416 citations
9 papers · 275 · h-index 7

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Virus-based gene therapy research

Papers in

    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2
    • interferon and immune responses 1
    • Single-cell and spatial transcriptomics 1

Uwe Appelt

9 papers receiving 271 citations

Peers

Uwe Appelt
Comparison fields: 5 of 46
  • Immunology 101
  • Genetics 75
  • Epidemiology 92
  • Virology 9
  • Hematology 20
Replace Rosaely Casalegno‐Garduño with:
Rosaely Casalegno‐Garduño Germany
Helene Will Germany
Kimberly Dunham United States
Ana Coelho Sweden
Nikita Trivedi United States
Selina Pasquero Italy
Laila Samady United Kingdom
André Iovane United States
Kareem Clarke United States
Florent Arbogast France
Uwe Appelt relative to Rosaely Casalegno‐Garduño Germany Rosaely Casalegno‐Garduño's profile →
Citations per field
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Rosaely Casalegno‐Garduño · 1×
Citations per year

Countries citing papers authored by Uwe Appelt

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Appelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2007103
2 201282
3 201237
4 201026
5 20158
6
Peripheral Blood Stem Cells of Patients with Systemic Lupus Erythematosus Show Altered Differentiation into Macrophages
20107
7 20046
8 20244
9 20252

About Uwe Appelt

Uwe Appelt is a scholar working on Immunology, Molecular Biology, Epidemiology, Rheumatology and Pathology and Forensic Medicine, having authored 9 papers that have together received 275 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (2 papers), Systemic Lupus Erythematosus Research (2 papers), T-cell and B-cell Immunology (2 papers), Single-cell and spatial transcriptomics (1 paper), interferon and immune responses (1 paper), Cell Image Analysis Techniques (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology (101 citations), Genetics (75 citations), Epidemiology (92 citations), Virology (9 citations) and Hematology (20 citations). Uwe Appelt has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Thomas Winkler, Michael Mach, Florian Weisel, Andreá Schneider, Birgit Bradel-Tretheway, Martin Messerle, Stipan Jonjić, Christine Kaeppel, Philippe Moullier and Magalie Penaud‐Budloo. Their work appears in journals such as The Journal of Immunology, Molecular Therapy, Blood, Nature Communications and PLoS ONE.

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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