Arno Friedlein

3.3k citations
32 papers · 2.6k · h-index 25

Impact in

    • Antioxidant Activity and Oxidative Stress
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Retinoids in leukemia and cellular processes

Papers in

    • Ubiquitin and proteasome pathways 4
    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • Glycosylation and Glycoproteins Research 2

Arno Friedlein

32 papers receiving 2.6k citations

Peers

Arno Friedlein
Comparison fields: 5 of 105
  • Biochemistry 244
  • Molecular Biology 1.7k
  • Immunology 298
  • Spectroscopy 185
  • Hematology 103
Replace Alan Mellors with:
Alan Mellors Canada
Soo‐Jong Um South Korea
H Shio United States
Alan A. Dombkowski United States
Mary T. Walsh United States
Richard J. Cenedella United States
Satoshi Mizuno Japan
Xiquan Liang United States
Alessandra Tosco Italy
Akiko Tanaka Japan
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Citations per field
00.5×5.2×
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Citations per year

Countries citing papers authored by Arno Friedlein

Since Specialization
Citations

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

Fields of papers citing papers by Arno Friedlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005486
2 1999207
3 2004200
4 1999171
5 2000164
6 2006154
7 2002142
8 2006105
9 2004100
10 200386
11 200186
12 200171
13 200451
14 199550
15 200648
16 201447
17 201045
18 200443
19 200638
20 198837

About Arno Friedlein

Arno Friedlein is a scholar working on Molecular Biology, Immunology, Spectroscopy, Neurology and Pharmacology, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), RNA Research and Splicing (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Alzheimer's disease research and treatments (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), RNA modifications and cancer (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Biochemistry (244 citations), Molecular Biology (1.7k citations), Immunology (298 citations), Spectroscopy (185 citations) and Hematology (103 citations). Arno Friedlein has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Hanno Langen, Walter Keller, Georges Martín, Diana Blank, Gérard Keith, Štěpánka Vaňáčová, Markus Wyss, Marina Cella, Hideo Nakajima and Marco Colonna. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, Pharmaceutical Research, European Journal of Immunology and PROTEOMICS.

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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