Stuart T. Fraser
- Molecular Biology top 5%
- Cell Biology top 2%
- Immunology top 5%
- Physiology top 5%
- Hematology top 5%
- Co-authors
- Margaret H. BaronJoan IsernSatomi NishikawaJia Hao YeoMinetaro OgawaShin‐Ichi NishikawaHisahiro YoshidaStephen J. Assinder
- Topics
- Zebrafish Biomedical Research Applications (31 papers)Erythrocyte Function and Pathophysiology (15 papers)Pluripotent Stem Cells Research (15 papers)
- Cited by
- Cell BiologyHematologyGenetics
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionThe Journal of Experimental Medicine
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Stuart T. Fraser
89 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 145
- Molecular Biology 1.4k
- Cell Biology 656
- Immunology 457
- Physiology 426
- Hematology 349
Countries citing papers authored by Stuart T. Fraser
This map shows the geographic impact of Stuart T. Fraser'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 Stuart T. Fraser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart T. Fraser more than expected).
Fields of papers citing papers by Stuart T. Fraser
This network shows the impact of papers produced by Stuart T. Fraser. 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 Stuart T. Fraser. The network helps show where Stuart T. Fraser may publish in the future.
Co-authorship network of co-authors of Stuart T. Fraser
This figure shows the co-authorship network connecting the top 25 collaborators of Stuart T. Fraser. A scholar is included among the top collaborators of Stuart T. Fraser 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 Stuart T. Fraser. Stuart T. Fraser 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 | 2 | |
| 3 | 15 | |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 35 | |
| 7 | 52 | |
| 8 | 11 | |
| 9 | 17 | |
| 10 | 14 | |
| 11 | 17 | |
| 12 | 6 | |
| 13 | 43 | |
| 14 | 1 | |
| 15 | 94 | |
| 16 | 38 | |
| 17 | 17 | |
| 18 | 22 | |
| 19 | 54 | |
| 20 | CHANGES IN IMIPRAMINE AND ALPHA-2-ADRENOCEPTOR BINDING-SITES IN THE EARLY PUERPERIUM | 1 |
About Stuart T. Fraser
Stuart T. Fraser is a scholar working on Cell Biology, Hematology and Surfaces, Coatings and Films, having authored 92 papers that have together received 2.8k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (31 papers), Erythrocyte Function and Pathophysiology (15 papers) and Pluripotent Stem Cells Research (15 papers). The work is most often cited by research in Cell Biology (656 citations), Hematology (349 citations) and Genetics (269 citations). Stuart T. Fraser has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Margaret H. Baron, Joan Isern, Satomi Nishikawa, Jia Hao Yeo, Minetaro Ogawa, Shin‐Ichi Nishikawa, Hisahiro Yoshida, Stephen J. Assinder, Zhiyong He and Daniel C. Weinstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and The Journal of Experimental Medicine.
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.