Florian Priller
Impact in
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- Zebrafish Biomedical Research Applications
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- Congenital heart defects research
- Bioinformatics and Genomic Networks
- Developmental Biology and Gene Regulation
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
Papers in
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- Congenital heart defects research 3
- Bioinformatics and Genomic Networks 1
- Machine Learning in Bioinformatics 1
- RNA Research and Splicing 1
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- Cardiac Arrhythmias and Treatments 1
- Cardiac Fibrosis and Remodeling 1
- Co-authors
- Salim Abdelilah‐Seyfried (5 shared papers)Justus Veerkamp (4 shared papers)Jean−Fred Fontaine (1 shared paper)Adriano Barbosa-Silva (1 shared paper)Miguel A. Andrade‐Navarro (1 shared paper)Verónica A. Lombardo (2 shared papers)Wiebke Herzog (1 shared paper)Emma de Pater (1 shared paper)
- Journals
- Developmental Cell (3 papers)Nucleic Acids Research (1 paper)Circulation Research (1 paper)BMC Developmental Biology (1 paper)
- Partner nations
- GermanySouth SudanNetherlands
In The Last Decade
Florian Priller
6 papers receiving 275 citations
Peers
Comparison fields: 5 of 51
- Cell Biology 62
- Molecular Biology 234
- Cancer Research 25
- Cardiology and Cardiovascular Medicine 33
- Epidemiology 50
Countries citing papers authored by Florian Priller
This map shows the geographic impact of Florian Priller'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 Priller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Priller more than expected).
Fields of papers citing papers by Florian Priller
This network shows the impact of papers produced by Florian Priller. 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 Priller. The network helps show where Florian Priller may publish in the future.
Co-authors
The 22 scholars most cited alongside Florian Priller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 72 | |
| 2 | 2012 | 67 | |
| 3 | 2011 | 64 | |
| 4 | 2013 | 43 | |
| 5 | 2009 | 29 | |
| 6 | 2015 | 1 |
About Florian Priller
Florian Priller is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Physiology and Mechanical Engineering, having authored 6 papers that have together received 276 indexed citations. Recurring topics across this work include Congenital heart defects research (3 papers), Bioinformatics and Genomic Networks (1 paper), Machine Learning in Bioinformatics (1 paper), RNA Research and Splicing (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Cardiac Fibrosis and Remodeling (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Cell Biology (62 citations), Molecular Biology (234 citations), Cancer Research (25 citations), Cardiology and Cardiovascular Medicine (33 citations) and Epidemiology (50 citations). Florian Priller has collaborated with scholars based in Germany, South Sudan and Netherlands. Frequent co-authors include Salim Abdelilah‐Seyfried, Justus Veerkamp, Jean−Fred Fontaine, Adriano Barbosa-Silva, Miguel A. Andrade‐Navarro, Verónica A. Lombardo, Wiebke Herzog, Emma de Pater, Anne K. Lagendijk and Thomas F. Schilling. Their work appears in journals such as Developmental Cell, Nucleic Acids Research, Circulation Research and BMC Developmental Biology.
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.