Benjamin Dälken

636 citations
12 papers · 235 · 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 232 citations

Peers

Benjamin Dälken
Comparison fields: 5 of 45
  • Immunology 108
  • Biotechnology 28
  • Parasitology 18
  • Radiology, Nuclear Medicine and Imaging 56
  • Oncology 45
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Geneviève Garcin France
Garrison C. Fathman United States
Navreet K. Nanda United States
Stefania Carrara Germany
Elizabeth S. Song United States
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N Shinohara Japan
C N Baxevanis Germany
Astrid Menning Germany
Tara M. C. Hornell United States
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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 200556
2 201634
3 201429
4 200928
5 200621
6 202320
7 201017
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, Oncology, Immunology and Rheumatology, having authored 12 papers that have together received 235 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Cell death mechanisms and regulation (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), HER2/EGFR in Cancer Research (2 papers), Parasites and Host Interactions (1 paper), Ubiquitin and proteasome pathways (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Immunology (108 citations), Biotechnology (28 citations), Parasitology (18 citations), Radiology, Nuclear Medicine and Imaging (56 citations) and Oncology (45 citations). Benjamin Dälken has collaborated with scholars based in Germany, Israel and Switzerland. Frequent co-authors include Winfried S. Wels, Shirley K. Knauer, Jörg Schüttrumpf, Faı̈za Rharbaoui, Martin König, Silke Aigner, Robert A. Jabulowsky, Pranav Oberoi, Itai Benhar and Hayat Bähr-Mahmud. Their work appears in journals such as Cell Death and Differentiation, Molecular Cancer Therapeutics, The Lancet Infectious Diseases, Clinical & Translational Immunology and Immunology and Cell Biology.

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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