Andreas Dieckmann

729 citations
17 papers · 458 · h-index 12

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms

Papers in

    • RNA Interference and Gene Delivery 4
    • DNA and Nucleic Acid Chemistry 2
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 2

Andreas Dieckmann

17 papers receiving 446 citations

Peers

Andreas Dieckmann
Comparison fields: 5 of 74
  • Immunology 151
  • Molecular Biology 250
  • Oncology 74
  • Cancer Research 39
  • Genetics 24
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Citations per year

Countries citing papers authored by Andreas Dieckmann

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Dieckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 199772
2
Eradication of disseminated lymphomas with CpG-DNA activated T helper type 1 cells from nontransgenic mice.
200060
3 201751
4 201251
5 201841
6 201738
7 201227
8 201124
9 200222
10 200518
11 200214
12 202312
13 20028
14
The E1A transcriptional control region is efficiently activated in proliferating tissues of transgenic mice.
19948
15 20246
16 20254
17 20192

About Andreas Dieckmann

Andreas Dieckmann is a scholar working on Molecular Biology, Immunology, Ophthalmology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 458 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (3 papers), Retinal Diseases and Treatments (3 papers), Glaucoma and retinal disorders (2 papers), Cancer Research and Treatments (2 papers), T-cell and B-cell Immunology (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (151 citations), Molecular Biology (250 citations), Oncology (74 citations), Cancer Research (39 citations) and Genetics (24 citations). Andreas Dieckmann has collaborated with scholars based in Switzerland, Germany and Japan. Frequent co-authors include Peter Angel, Petra Pfisterer, Thomas Wirth, Stefan Zwilling, Ralph Mocikat, Martin Röcken, Oliver Egeter, Kamran Ghoreschi, Martin Ebeling and Peter Hagedorn. Their work appears in journals such as Translational Vision Science & Technology, Blood, Endocrinology, Science and Diabetologia.

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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