Anton Glück

1.4k citations
23 papers · 1.2k · h-index 15

Impact in

  • Immunology top 5%
    • Toxin Mechanisms and Immunotoxins
    • Immune Response and Inflammation
    • Transgenic Plants and Applications

Papers in

    • Toxin Mechanisms and Immunotoxins 10
    • Immune Response and Inflammation 5
    • NF-κB Signaling Pathways 5

Anton Glück

23 papers receiving 1.2k citations

Peers

Anton Glück
Comparison fields: 5 of 85
  • Immunology 576
  • Biotechnology 227
  • Molecular Biology 763
  • Cancer Research 111
  • Toxicology 22
Replace Mitsuyoshi Motizuki with:
Mitsuyoshi Motizuki Japan
William Cushley United Kingdom
William J. Grimes United States
I A MacNeil United States
Yu-Chih Lo Taiwan
Robert Noiva United States
Guido Pedrali‐Noy Italy
Georg Haecker Germany
V D Bhoyroo United States
David S. Bellows New Zealand
Anton Glück relative to Mitsuyoshi Motizuki Japan Mitsuyoshi Motizuki's profile →
Citations per field
00.5×1.5×
Mitsuyoshi Motizuki · 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-authors

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

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995274
2 1992176
3 1991135
4 1991120
5 1992105
6 200776
7 199053
8 201752
9 199450
10 200834
11 199425
12 200919
13 198919
14 201916
15 200816
16 200213
17 202111
18 200810
19 198910
20 19965

About Anton Glück

Anton Glück is a scholar working on Immunology, Cancer Research, Biotechnology, Molecular Biology and Oncology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (10 papers), RNA and protein synthesis mechanisms (6 papers), NF-κB Signaling Pathways (5 papers), Immune Response and Inflammation (5 papers), RNA modifications and cancer (4 papers), Transgenic Plants and Applications (4 papers), Cell death mechanisms and regulation (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (576 citations), Biotechnology (227 citations), Molecular Biology (763 citations), Cancer Research (111 citations) and Toxicology (22 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, Claude Tschopp, John C. Mathison, Kunio Tsurugi, Bernd Kinzel and Christopher Neil Davis. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Nucleic Acids Research, Trends in Biochemical Sciences and Molecular 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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