Shaun K. Olsen
- Molecular Biology top 2%
- Cell Biology top 2%
- Genetics top 5%
- Oncology top 5%
- Immunology top 10%
- Co-authors
- Moosa MohammadiOmar A. IbrahimiDavid M. OrnitzHisashi UmemoriXiuqin ZhangChristopher D. LimaZongyang LvAnna V. Eliseenkova
- Topics
- Ubiquitin and proteasome pathways (15 papers)Fibroblast Growth Factor Research (9 papers)Proteoglycans and glycosaminoglycans research (9 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesPolandJapan
In The Last Decade
Shaun K. Olsen
39 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 3.0k
- Cell Biology 704
- Genetics 544
- Oncology 540
- Immunology 337
Countries citing papers authored by Shaun K. Olsen
This map shows the geographic impact of Shaun K. Olsen'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 Shaun K. Olsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun K. Olsen more than expected).
Fields of papers citing papers by Shaun K. Olsen
This network shows the impact of papers produced by Shaun K. Olsen. 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 Shaun K. Olsen. The network helps show where Shaun K. Olsen may publish in the future.
Co-authorship network of co-authors of Shaun K. Olsen
This figure shows the co-authorship network connecting the top 25 collaborators of Shaun K. Olsen. A scholar is included among the top collaborators of Shaun K. Olsen 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 Shaun K. Olsen. Shaun K. Olsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 23 | |
| 5 | 22 | |
| 6 | 10 | |
| 7 | 25 | |
| 8 | 69 | |
| 9 | 44 | |
| 10 | 47 | |
| 11 | 48 | |
| 12 | 51 | |
| 13 | 131 | |
| 14 | 36 | |
| 15 | 160 | |
| 16 | 38 | |
| 17 | 73 | |
| 18 | Receptor Specificity of the Fibroblast Growth Factor Familybreakdown → | 946 |
| 19 | Structural basis for fibroblast growth factor receptor activationbreakdown → | 577 |
| 20 | 217 |
About Shaun K. Olsen
Shaun K. Olsen is a scholar working on Cell Biology, Oncology and Molecular Biology, having authored 43 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), Fibroblast Growth Factor Research (9 papers) and Proteoglycans and glycosaminoglycans research (9 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Cell Biology (704 citations) and Oncology (540 citations). Shaun K. Olsen has collaborated with scholars based in United States, Poland and Japan. Frequent co-authors include Moosa Mohammadi, Omar A. Ibrahimi, David M. Ornitz, Hisashi Umemori, Xiuqin Zhang, Christopher D. Lima, Zongyang Lv, Anna V. Eliseenkova, Xuequan Lu and Derek S. Tan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.