Daniela Kassahn

534 citations
9 papers · 373 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Phagocytosis and Immune Regulation
    • NF-κB Signaling Pathways

Papers in

    • Phagocytosis and Immune Regulation 2
    • interferon and immune responses 1
    • Cell death mechanisms and regulation 4

Daniela Kassahn

9 papers receiving 367 citations

Peers

Daniela Kassahn
Comparison fields: 5 of 78
  • Immunology 157
  • Cancer Research 48
  • Behavioral Neuroscience 10
  • Hepatology 21
  • Pathology and Forensic Medicine 47
Replace Kaoru Murakami-Mori with:
Kaoru Murakami-Mori United States
H Matsuzaki Japan
Emanuela Fecarotta Italy
Frank J. Lynch United States
Julia Lopatnikova Russia
Yoshikazu Kuboi Japan
Pawel A. Kabala Netherlands
Jianmin Lin China
Biljana Smiljanovic Germany
Qianfei Zhang United States
Daniela Kassahn relative to Kaoru Murakami-Mori United States Kaoru Murakami-Mori's profile →
Citations per field
00.5×4.3×
Kaoru Murakami-Mori · 1×
Citations per year

Countries citing papers authored by Daniela Kassahn

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Kassahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2006102
2 201156
3 200347
4 200941
5 201235
6 200534
7 200531
8 200825
9 20232

About Daniela Kassahn

Daniela Kassahn is a scholar working on Immunology, Molecular Biology, Surgery, Pathology and Forensic Medicine and General Health Professions, having authored 9 papers that have together received 373 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Phagocytosis and Immune Regulation (2 papers), Mobile Health and mHealth Applications (1 paper), interferon and immune responses (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Health Literacy and Information Accessibility (1 paper), Blood groups and transfusion (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Immunology (157 citations), Cancer Research (48 citations), Behavioral Neuroscience (10 citations), Hepatology (21 citations) and Pathology and Forensic Medicine (47 citations). Daniela Kassahn has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Thomas Brunner, Nadia Corazza, Harald Illges, Sabine Jakob, Pascal Schneider, Samuel G. Solomon, Ueli Nachbur, Steffen Frese, Stefan Mikkat and Madhan Masilamani. Their work appears in journals such as Allergy, Journal of Clinical Pathology, Blood, Journal of Clinical Investigation and Arthritis Research & Therapy.

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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