Löıc A. Royer
Impact in
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Biology top 5%
Papers in
-
- Cell Image Analysis Techniques 8
- Advanced Fluorescence Microscopy Techniques 6
- Aging 1
- Co-authors
- Chinmay BelthangadyEugene W. MyersShovamayee MaharanaAnthony A. HymanJulia MahamidMartin WeigertLouise JawerthNicola Maghelli
- Journals
- Nature Methods (5 papers)Cell (2 papers)The Journal of Cell Biology (1 paper)Nature Biotechnology (1 paper)Neurological Research (1 paper)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Löıc A. Royer
23 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Biophysics 650
- Structural Biology 61
- Molecular Biology 2.5k
- Neurology 384
- Cell Biology 366
Countries citing papers authored by Löıc A. Royer
This map shows the geographic impact of Löıc A. Royer'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 Löıc A. Royer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Löıc A. Royer more than expected).
Fields of papers citing papers by Löıc A. Royer
This network shows the impact of papers produced by Löıc A. Royer. 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 Löıc A. Royer. The network helps show where Löıc A. Royer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Löıc A. Royer, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 73 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 72 | |
| 7 | 2021 | 7 | |
| 8 | Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction Hit paper breakdown → | 2019 | 328 |
| 9 | 2018 | 12 | |
| 10 | 2018 | 312 | |
| 11 | 2018 | 30 | |
| 12 | 2016 | 173 | |
| 13 | 2016 | 9 | |
| 14 | A Liquid-to-Solid Phase Transition of the ALS Protein FUS Accelerated by Disease Mutation Hit paper breakdown → | 2015 | 2097 |
| 15 | 2012 | 10 | |
| 16 | 2011 | 8 | |
| 17 | Unraveling the Structure and Assessing the Quality of Protein Interaction Networks with Power Graph Analysis. | 2010 | 2 |
| 18 | 2010 | 23 | |
| 19 | 2009 | 28 | |
| 20 | 2008 | 85 |
About Löıc A. Royer
Löıc A. Royer is a scholar working on Biophysics, Aging, Media Technology, Computer Graphics and Computer-Aided Design and Cell Biology, having authored 25 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (8 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Bioinformatics and Genomic Networks (5 papers), Single-cell and spatial transcriptomics (4 papers), Image Processing Techniques and Applications (4 papers), Biomedical Text Mining and Ontologies (2 papers), Mesenchymal stem cell research (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Biophysics (650 citations), Structural Biology (61 citations), Molecular Biology (2.5k citations), Neurology (384 citations) and Cell Biology (366 citations). Löıc A. Royer has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Chinmay Belthangady, Eugene W. Myers, Shovamayee Maharana, Anthony A. Hyman, Julia Mahamid, Martin Weigert, Louise Jawerth, Nicola Maghelli, Simon Alberti and Stoyno Stoynov. Their work appears in journals such as Nature Methods, Cell, The Journal of Cell Biology, Nature Biotechnology and Neurological Research.
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.