Sean G. Megason
- Molecular Biology top 2%
- Cell Biology top 1%
- Biophysics top 0.5%
- Genetics top 5%
- Biomedical Engineering top 10%
- Co-authors
- Andrew P. McMahonScott E. FraserAllon M. KleinCaleb WeinrebJames BriggsDaniel E. WagnerZach M. CollinsNikolaus D. Obholzer
- Topics
- Cell Image Analysis Techniques (20 papers)Single-cell and spatial transcriptomics (16 papers)Zebrafish Biomedical Research Applications (11 papers)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Sean G. Megason
66 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.8k
- Cell Biology 1.0k
- Biophysics 573
- Genetics 439
- Biomedical Engineering 335
Countries citing papers authored by Sean G. Megason
This map shows the geographic impact of Sean G. Megason'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 Sean G. Megason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean G. Megason more than expected).
Fields of papers citing papers by Sean G. Megason
This network shows the impact of papers produced by Sean G. Megason. 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 Sean G. Megason. The network helps show where Sean G. Megason may publish in the future.
Co-authorship network of co-authors of Sean G. Megason
This figure shows the co-authorship network connecting the top 25 collaborators of Sean G. Megason. A scholar is included among the top collaborators of Sean G. Megason 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 Sean G. Megason. Sean G. Megason is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 32 | |
| 7 | 6 | |
| 8 | 92 | |
| 9 | 53 | |
| 10 | 115 | |
| 11 | The dynamics of gene expression in vertebrate embryogenesis at single-cell resolutionbreakdown → | 365 |
| 12 | Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryobreakdown → | 530 |
| 13 | 89 | |
| 14 | 31 | |
| 15 | 17 | |
| 16 | 4 | |
| 17 | 62 | |
| 18 | 89 | |
| 19 | 8 | |
| 20 | 158 |
About Sean G. Megason
Sean G. Megason is a scholar working on Biophysics, Computer Graphics and Computer-Aided Design and Cell Biology, having authored 69 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (20 papers), Single-cell and spatial transcriptomics (16 papers) and Zebrafish Biomedical Research Applications (11 papers). The work is most often cited by research in Biophysics (573 citations), Cell Biology (1.0k citations) and Developmental Neuroscience (251 citations). Sean G. Megason has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Andrew P. McMahon, Scott E. Fraser, Allon M. Klein, Caleb Weinreb, James Briggs, Daniel E. Wagner, Zach M. Collins, Nikolaus D. Obholzer, Kishore Mosaliganti and Ian A. Swinburne. Their work appears in journals such as Nature, Science and Cell.
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.