Anton Glück

1.4k citations
23 papers · 1.1k · h-index 15

Impact in

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

Papers in

    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 5
    • Glycosylation and Glycoproteins Research 2
    • Cell death mechanisms and regulation 2
    • Toxin Mechanisms and Immunotoxins 10
    • Immune Response and Inflammation 4

Anton Glück

22 papers receiving 1.1k citations

Peers

Anton Glück
Comparison fields: 5 of 85
  • Immunology 519
  • Biotechnology 209
  • Molecular Biology 734
  • Toxicology 24
  • Cancer Research 65
Replace Sabine Ottilie with:
Sabine Ottilie United States
Pascale Duplay Canada
I A MacNeil United States
Maureen Thornton United States
Georg Haecker Germany
Lionel Tafforeau Belgium
David S. Bellows New Zealand
Silje U. Lauvrak Norway
Makuta Nsimba‐Lubaki Belgium
Nikodem Grankowski Poland
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Citations per field
00.5×4.4×
Sabine Ottilie · 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 1995270
2 1992171
3 1991129
4 1991118
5 199298
6 200772
7 199050
8 199448
9 200830
10 199423
11 198918
12 200918
13 200816
14 199615
15 201914
16 200212
17 200810
18 202110
19 19899
20 19965

About Anton Glück

Anton Glück is a scholar working on Molecular Biology, Immunology, Cancer Research, Biotechnology 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), NF-κB Signaling Pathways (4 papers), Transgenic Plants and Applications (4 papers), Immune Response and Inflammation (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Immunology (519 citations), Biotechnology (209 citations), Molecular Biology (734 citations), Toxicology (24 citations) and Cancer Research (65 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, Bernd Kinzel, Kunio Tsurugi and Christopher N. Davis. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Journal of Molecular Biology, IUBMB Life and Biochimie.

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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