Florian Tribl

1.3k total citations
22 papers, 998 citations indexed

About

Florian Tribl is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Florian Tribl has authored 22 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Spectroscopy. Recurrent topics in Florian Tribl's work include melanin and skin pigmentation (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and Alzheimer's disease research and treatments (5 papers). Florian Tribl is often cited by papers focused on melanin and skin pigmentation (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and Alzheimer's disease research and treatments (5 papers). Florian Tribl collaborates with scholars based in Germany, United States and Japan. Florian Tribl's co-authors include Peter Riederer, M. Gerlach, Glenda M. Halliday, Kay L. Double, H. Fedorow, Manuela Schmidt, Siegfried Hoyer, Melita Šalković‐Petrišić, Helmut E. Meyer and Katrin Marcus and has published in prestigious journals such as Journal of Neurochemistry, Progress in Neurobiology and Molecular Biology of the Cell.

In The Last Decade

Florian Tribl

21 papers receiving 972 citations

Peers

Florian Tribl
Comparison fields: 5 of 95
  • Molecular Biology 375
  • Physiology 329
  • Neurology 298
  • Cell Biology 242
  • Cellular and Molecular Neuroscience 232
Replace Erika Bereczki with:
Erika Bereczki Sweden
Gessica Sala Italy
Helena Xicoy Netherlands
Yutaka Nagata Japan
Noemí Fabelo Spain
Alberto Gatti Italy
Mikhail B. Bogdanov United States
Sandrine Humez France
Hideya Mizuno Japan
Annabelle Parent Spain
Erika Bereczki Sweden View profile →
Citations per field, relative to Florian Tribl
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Citations per year, relative to Florian Tribl
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Countries citing papers authored by Florian Tribl

Since Specialization
Citations

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

Fields of papers citing papers by Florian Tribl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Tribl

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Tribl. A scholar is included among the top collaborators of Florian Tribl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florian Tribl. Florian Tribl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 42
3 2
4 9
5
Common methods in proteomics
1
6 1
7 42
8 18
9 1
10 114
11 33
12 24
13 179
14 260
15 52
16
Expression of glycogen synthase kinase-3 (GSK-3)and protein kinase B (Act/PKB) in hippocampus of rats with experimental Alzheimer's disease
1
17 83
18 38
19 33
20 59

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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