Isabella J. Kuo
- Neurology top 2%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 10%
- Physiology
- Co-authors
- Leo J. PallanckMel Β. FeanyAlexander J. WhitworthJessica GreeneNii-Kabu KabuteyRoy M. FujitaniSamuel L. ChenMatthew D. Whealon
- Topics
- Aortic aneurysm repair treatments (6 papers)Cardiac, Anesthesia and Surgical Outcomes (6 papers)Venous Thromboembolism Diagnosis and Management (6 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of Vascular Surgery
- Partner nations
- United States
In The Last Decade
Isabella J. Kuo
16 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Neurology 559
- Molecular Biology 479
- Cellular and Molecular Neuroscience 351
- Epidemiology 348
- Physiology 186
Countries citing papers authored by Isabella J. Kuo
This map shows the geographic impact of Isabella J. Kuo'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 Isabella J. Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabella J. Kuo more than expected).
Fields of papers citing papers by Isabella J. Kuo
This network shows the impact of papers produced by Isabella J. Kuo. 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 Isabella J. Kuo. The network helps show where Isabella J. Kuo may publish in the future.
Co-authorship network of co-authors of Isabella J. Kuo
This figure shows the co-authorship network connecting the top 25 collaborators of Isabella J. Kuo. A scholar is included among the top collaborators of Isabella J. Kuo 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 Isabella J. Kuo. Isabella J. Kuo 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 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 25 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | 3 | |
| 20 | 7 |
About Isabella J. Kuo
Isabella J. Kuo is a scholar working on Internal Medicine, Emergency Medical Services and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and Venous Thromboembolism Diagnosis and Management (6 papers). The work is most often cited by research in Neurology (559 citations), Aging (55 citations) and Cellular and Molecular Neuroscience (351 citations). Isabella J. Kuo has collaborated with scholars based in United States. Frequent co-authors include Leo J. Pallanck, Mel Β. Feany, Alexander J. Whitworth, Jessica Greene, Nii-Kabu Kabutey, Roy M. Fujitani, Samuel L. Chen, Matthew D. Whealon, Michael D. Sgroi and Elizabeth L. Chou. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Vascular Surgery.
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.