Svenja Debey‐Pascher

1.1k citations
18 papers · 697 indexed · h-index 14
  • Immunology top 10%
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • MicroRNA in disease regulation 3
  • Hepatology top 10%
  • Dermatology top 10%
    • Molecular Biology Techniques and Applications 5
    • Gene expression and cancer classification 4
    • Single-cell and spatial transcriptomics 3
    • RNA modifications and cancer 2

Svenja Debey‐Pascher

18 papers receiving 692 citations

Peers

Svenja Debey‐Pascher
Comparison fields: 5 of 77
  • Immunology 305
  • Cancer Research 214
  • Hepatology 55
  • Oncology 152
  • Dermatology 38
Replace Nicholas C. Hsu with:
Nicholas C. Hsu Taiwan
Saritha Kusam United States
Fiona C. Kimberley Netherlands
Melanie Grusdat Germany
Daniela Cantarella Italy
Jason M. Zimmerer United States
Yongpeng Gu United States
Jun Ye China
Chuen-Miin Leu Taiwan
Minghua Zhu China
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Citations per field
00.5×4.2×
Nicholas C. Hsu · 1×
Citations per year

Countries citing papers authored by Svenja Debey‐Pascher

Since Specialization
Citations

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

Fields of papers citing papers by Svenja Debey‐Pascher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Svenja Debey‐Pascher. 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 Svenja Debey‐Pascher. The network helps show where Svenja Debey‐Pascher may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 201728
2 201365
3 201215
4 201151
5 201125
6 201113
7 201129
8 201011
9 201022
10 200912
11 20094
12 200957
13 200920
14 200919
15 2009118
16 200827
17 2007115
18 200766

About Svenja Debey‐Pascher

Svenja Debey‐Pascher is a scholar working on Cancer Research, Immunology and Immunology and Allergy, having authored 18 papers that have together received 697 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Gene expression and cancer classification (4 papers), Single-cell and spatial transcriptomics (3 papers), MicroRNA in disease regulation (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Immunology (305 citations), Cancer Research (214 citations) and Hepatology (55 citations). Svenja Debey‐Pascher has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Joachim L. Schultze, Daniela Eggle, Sabine Claßen, Andrea Staratschek‐Jox, Marc Beyer, Alexey Popov, Thomas Zander, Percy A. Knolle, Julia Driesen and Michaela Patz. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Immunity.

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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