Florian Heyl
Impact in
- Endocrinology top 10%
-
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- CRISPR and Genetic Engineering
Papers in
-
- RNA Research and Splicing 4
- Photosynthetic Processes and Mechanisms 3
- RNA modifications and cancer 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Protist diversity and phylogeny 2
-
- Scientific Computing and Data Management 2
- Co-authors
- Rolf Backofen (10 shared papers)Michaël Uhl (2 shared papers)Tran Van Dinh (1 shared paper)Cynthia Mira Sharma (1 shared paper)Rick Gelhausen (1 shared paper)Claudia Steglich (3 shared papers)Florian Eggenhofer (1 shared paper)Sarah L. Svensson (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)GigaScience (3 papers)Biological Chemistry (1 paper)RNA Biology (1 paper)Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Florian Heyl
11 papers receiving 1.2k citations
Florian Heyl's Hit Papers
Peers
Comparison fields: 5 of 121
- Endocrinology 45
- Molecular Biology 586
- Aging 13
- Information Systems and Management 50
- Molecular Medicine 31
Countries citing papers authored by Florian Heyl
This map shows the geographic impact of Florian Heyl'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 Heyl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Heyl more than expected).
Fields of papers citing papers by Florian Heyl
This network shows the impact of papers produced by Florian Heyl. 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 Heyl. The network helps show where Florian Heyl may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Heyl, 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 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update Hit paper breakdown → | 2022 | 731 |
| 2 | The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update Hit paper breakdown → | 2024 | 373 |
| 3 | 2023 | 50 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 12 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 9 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2026 | 0 | |
| 15 | 2026 | 0 |
About Florian Heyl
Florian Heyl is a scholar working on Molecular Biology, Information Systems and Management, Information Systems, Genetics and Cancer Research, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Photosynthetic Processes and Mechanisms (3 papers), RNA modifications and cancer (2 papers), Research Data Management Practices (2 papers), Delphi Technique in Research (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Protist diversity and phylogeny (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Endocrinology (45 citations), Molecular Biology (586 citations), Aging (13 citations), Information Systems and Management (50 citations) and Molecular Medicine (31 citations). Florian Heyl has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Rolf Backofen, Michaël Uhl, Tran Van Dinh, Cynthia Mira Sharma, Rick Gelhausen, Claudia Steglich, Florian Eggenhofer, Sarah L. Svensson, Wolfgang R. Hess and Daniel Maticzka. Their work appears in journals such as Nucleic Acids Research, GigaScience, Biological Chemistry, RNA Biology and Bioinformatics.
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.