A. Kuglstatter

2.7k citations
41 papers · 1.6k · h-index 29

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 6
    • Melanoma and MAPK Pathways 5
    • RNA and protein synthesis mechanisms 5
    • Protein purification and stability 4

A. Kuglstatter

41 papers receiving 1.6k citations

Peers

A. Kuglstatter
Comparison fields: 5 of 110
  • Computational Theory and Mathematics 284
  • Molecular Biology 1.0k
  • Genetics 142
  • Organic Chemistry 287
  • Oncology 268
Replace Thierry Fischmann with:
Thierry Fischmann United States
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Anthony M. Giannetti United States
Eric Haaksma Netherlands
Anne M. Hassell United States
K. Huber United Kingdom
Simon Bergqvist United States
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A. Kuglstatter relative to Thierry Fischmann United States Thierry Fischmann's profile →
Citations per field
00.5×1.6×
Thierry Fischmann · 1×
Citations per year

Countries citing papers authored by A. Kuglstatter

Since Specialization
Citations

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

Fields of papers citing papers by A. Kuglstatter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009146
2 2017101
3 201997
4 200289
5 201680
6 200762
7 200261
8 201260
9 200850
10 201344
11 200843
12 201643
13 201041
14 201140
15 201239
16 200138
17 200237
18 201535
19 201534
20 201033

About A. Kuglstatter

A. Kuglstatter is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Organic Chemistry and Genetics, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (6 papers), Melanoma and MAPK Pathways (5 papers), RNA and protein synthesis mechanisms (5 papers), Quinazolinone synthesis and applications (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Protein purification and stability (4 papers). The work is most often cited by research in Computational Theory and Mathematics (284 citations), Molecular Biology (1.0k citations), Genetics (142 citations), Organic Chemistry (287 citations) and Oncology (268 citations). A. Kuglstatter has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Yan Lou, David Goldstein, Kiyoshi Nagai, Chris Oubridge, Michael Soth, Armando G. Villaseñor, Jörg Benz, Jim Barnett, David E. Shaw and Stan Tsing. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, FEBS Letters, Journal of Molecular Biology and Biochemical Society Transactions.

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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