Anton Glück

1.4k citations
23 papers · 1.1k indexed · h-index 15
  • Immunology top 5%
    • Toxin Mechanisms and Immunotoxins 10
    • Immune Response and Inflammation 5
    • interferon and immune responses 3
    • Transgenic Plants and Applications 4
    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 5
    • Glycosylation and Glycoproteins Research 2
  • Toxicology top 10%
    • NF-κB Signaling Pathways 4

Anton Glück

22 papers receiving 1.1k citations

Peers

Anton Glück
Comparison fields: 5 of 88
  • Immunology 534
  • Biotechnology 214
  • Molecular Biology 765
  • Toxicology 25
  • Cancer Research 70
Replace E Ackerman with:
E Ackerman United States
Sabine Ottilie United States
John Blaustein United States
Makuta Nsimba‐Lubaki Belgium
Georg Haecker Germany
Nobuo Sakato Japan
T Tadakuma Japan
Lionel Tafforeau Belgium
Ming‐Yi Ho Taiwan
Nikodem Grankowski Poland
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Citations per field
00.5×
E Ackerman · 1×
Citations per year

Countries citing papers authored by Anton Glück

Since Specialization
Citations

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

Fields of papers citing papers by Anton Glück

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202110
3 201914
4 200918
5 200816
6 200830
7 200810
8 200771
9 200212
10 199615
11 19965
12 1995268
13 199448
14 199297
15 1992171
16 1991118
17 1991129
18 199050
19 198918
20 19899

About Anton Glück

Anton Glück is a scholar working on Immunology, Biotechnology, Cancer Research, Molecular Biology and Oncology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (10 papers), RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers), Immune Response and Inflammation (5 papers), Transgenic Plants and Applications (4 papers), NF-κB Signaling Pathways (4 papers), interferon and immune responses (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (534 citations), Biotechnology (214 citations), Molecular Biology (765 citations), Toxicology (25 citations) and Cancer Research (70 citations). Anton Glück has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Ira G. Wool, Yaeta Endo, Yuen‐Ling Chan, Koichi Suzuki, Hermann Gram, John C. Mathison, Claude Tschopp, Kunio Tsurugi, Bernd Kinzel and Mathias Müller. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Nucleic Acids Research, Molecular Therapy and Biochemistry 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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