Isaac Yang
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Epidemiology top 1%
- Meningioma and schwannoma management
Papers in
- Genetics 52
- Glioma Diagnosis and Treatment 52
- Epidemiology 54
- Meningioma and schwannoma management 53
- Co-authors
- Andrew T. Parsa (48 shared papers)Seunggu Jude Han (27 shared papers)Michael E. Sughrue (19 shared papers)Daniel T. Nagasawa (52 shared papers)Derick Aranda (12 shared papers)Quinton S. Gopen (72 shared papers)Carlito Lagman (57 shared papers)Tarık Tihan (12 shared papers)
- Journals
- World Neurosurgery (33 papers)Journal of Neuro-Oncology (20 papers)Neurosurgery Clinics of North America (18 papers)Journal of neurosurgery (16 papers)Neurosurgery (15 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Isaac Yang
283 papers receiving 7.6k citations
Isaac Yang's Hit Papers
Peers
Comparison fields: 5 of 121
- Genetics 1.3k
- Epidemiology 1.4k
- Neurology 199
- Rheumatology 336
- Health Informatics 42
Countries citing papers authored by Isaac Yang
This map shows the geographic impact of Isaac Yang'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 Isaac Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac Yang more than expected).
Fields of papers citing papers by Isaac Yang
This network shows the impact of papers produced by Isaac Yang. 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 Isaac Yang. The network helps show where Isaac Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Isaac Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 297 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated learning for predicting clinical outcomes in patients with COVID-19 Hit paper breakdown → | 2021 | 582 |
| 2 | 2009 | 316 | |
| 3 | 2016 | 248 | |
| 4 | 2017 | 183 | |
| 5 | 2010 | 164 | |
| 6 | 2017 | 152 | |
| 7 | 2010 | 150 | |
| 8 | 2011 | 148 | |
| 9 | 2009 | 144 | |
| 10 | 2009 | 138 | |
| 11 | 2015 | 138 | |
| 12 | 2009 | 135 | |
| 13 | 2016 | 126 | |
| 14 | 2009 | 124 | |
| 15 | 2010 | 108 | |
| 16 | 2009 | 101 | |
| 17 | 2009 | 101 | |
| 18 | 2009 | 100 | |
| 19 | 2011 | 99 | |
| 20 | 2012 | 94 |
About Isaac Yang
Isaac Yang is a scholar working on Genetics, Epidemiology, Neurology, Rheumatology and Surgery, having authored 297 papers that have together received 7.8k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (53 papers), Glioma Diagnosis and Treatment (52 papers), Brain Metastases and Treatment (10 papers), Bone Tumor Diagnosis and Treatments (8 papers), Teratomas and Epidermoid Cysts (8 papers), Pituitary Gland Disorders and Treatments (6 papers), Blood transfusion and management (4 papers) and Vestibular and auditory disorders (3 papers). The work is most often cited by research in Genetics (1.3k citations), Epidemiology (1.4k citations), Neurology (199 citations), Rheumatology (336 citations) and Health Informatics (42 citations). Isaac Yang has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Andrew T. Parsa, Seunggu Jude Han, Michael E. Sughrue, Daniel T. Nagasawa, Derick Aranda, Quinton S. Gopen, Carlito Lagman, Tarık Tihan, Lawrance K. Chung and Lawrence H. Pitts. Their work appears in journals such as World Neurosurgery, Journal of Neuro-Oncology, Neurosurgery Clinics of North America, Journal of neurosurgery and Neurosurgery.
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.