Benjamin Dälken

634 citations
12 papers · 228 · h-index 9

Impact in

    • Toxin Mechanisms and Immunotoxins
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Transgenic Plants and Applications

Papers in

Benjamin Dälken

12 papers receiving 227 citations

Peers

Benjamin Dälken
Comparison fields: 5 of 46
  • Immunology 108
  • Biotechnology 30
  • Parasitology 17
  • Radiology, Nuclear Medicine and Imaging 57
  • Oncology 46
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Geneviève Garcin France
Garrison C. Fathman United States
Angela Seelig Germany
Navreet K. Nanda United States
N Shinohara Japan
C N Baxevanis Germany
Stefania Carrara Germany
Adam Bates United States
Tara M. C. Hornell United States
Denice T. Y. Chan United Kingdom
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Citations per field
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Geneviève Garcin · 1×
Citations per year

Countries citing papers authored by Benjamin Dälken

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Dälken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200555
2 201632
3 201429
4 200928
5 202320
6 200619
7 201015
8 201213
9 20189
10 20166
11
Targeted induction of apoptosis by chimeric granzyme B fusion proteins carrying EGFR- and ErbB2/HER2-specific binding domains for tumor cell recognition
20061
12 20101

About Benjamin Dälken

Benjamin Dälken is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 228 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Cell death mechanisms and regulation (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), HER2/EGFR in Cancer Research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology (108 citations), Biotechnology (30 citations), Parasitology (17 citations), Radiology, Nuclear Medicine and Imaging (57 citations) and Oncology (46 citations). Benjamin Dälken has collaborated with scholars based in Germany, Poland and Ivory Coast. Frequent co-authors include Winfried S. Wels, Shirley K. Knauer, Jörg Schüttrumpf, Martin König, Faı̈za Rharbaoui, Silke Aigner, Pranav Oberoi, Robert A. Jabulowsky, Hayat Bähr-Mahmud and Itai Benhar. Their work appears in journals such as Molecular Cancer Therapeutics, Clinical & Translational Immunology, Immunology and Cell Biology, Annals of the Rheumatic Diseases and Frontiers in Immunology.

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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