Sebastian Markmiller
- Molecular Biology top 5%
- Neurology top 5%
- Cell Biology top 10%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- G YeoMark Y. FangDavid A. NellesMitchell R. O’ConnellJia XuJennifer A. DoudnaÉric LécuyerEric J. Bennett
- Topics
- RNA Research and Splicing (10 papers)RNA modifications and cancer (5 papers)Amyotrophic Lateral Sclerosis Research (5 papers)
- Partner nations
- United StatesAustraliaSingapore
In The Last Decade
Sebastian Markmiller
17 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Biology 1.5k
- Neurology 227
- Cell Biology 206
- Genetics 145
- Cellular and Molecular Neuroscience 136
Countries citing papers authored by Sebastian Markmiller
This map shows the geographic impact of Sebastian Markmiller'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 Sebastian Markmiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Markmiller more than expected).
Fields of papers citing papers by Sebastian Markmiller
This network shows the impact of papers produced by Sebastian Markmiller. 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 Sebastian Markmiller. The network helps show where Sebastian Markmiller may publish in the future.
Co-authorship network of co-authors of Sebastian Markmiller
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Markmiller. A scholar is included among the top collaborators of Sebastian Markmiller 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 Sebastian Markmiller. Sebastian Markmiller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 7 | |
| 3 | 39 | |
| 4 | 60 | |
| 5 | 3 | |
| 6 | 50 | |
| 7 | 13 | |
| 8 | 198 | |
| 9 | 20 | |
| 10 | Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granulesbreakdown → | 626 |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 191 | |
| 14 | 2 | |
| 15 | Programmable RNA Tracking in Live Cells with CRISPR/Cas9breakdown → | 410 |
| 16 | 48 | |
| 17 | 42 |
About Sebastian Markmiller
Sebastian Markmiller is a scholar working on Genetics, Neurology and Biochemistry, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), RNA modifications and cancer (5 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). The work is most often cited by research in Aging (50 citations), Business and International Management (51 citations) and Molecular Biology (1.5k citations). Sebastian Markmiller has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include G Yeo, Mark Y. Fang, David A. Nelles, Mitchell R. O’Connell, Jia Xu, Jennifer A. Doudna, Éric Lécuyer, Eric J. Bennett, En‐Ching Luo and Raymond Mak. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.