Jacky T. Yeung
- Health Informatics top 2%
- Genetics top 5%
- Glioma Diagnosis and Treatment 15
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies 5
- Vascular Malformations Diagnosis and Treatment 5
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- Transcranial Magnetic Stimulation Studies 5
- Vascular Malformations Diagnosis and Treatment 5
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- Meningioma and schwannoma management 10
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- Functional Brain Connectivity Studies 7
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- Advanced Neuroimaging Techniques and Applications 7
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- Pituitary Gland Disorders and Treatments 5
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- Brain Metastases and Treatment 4
- Co-authors
- Michael E. SughrueIan F. PollackRegina I. JakackiNicholas B. DadarioCharles TeoIsabella M. YoungKetan R. BulsaraMatthew D. Vesely
- Cited by
- Health InformaticsGeneticsNeurology
- Journals
- World Neurosurgery (5 papers)Journal of Neuro-Oncology (4 papers)Clinical Neurology and Neurosurgery (3 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Jacky T. Yeung
45 papers receiving 730 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 60
- Genetics 169
- Neurology 157
- Neurology 54
- Oncology 161
Countries citing papers authored by Jacky T. Yeung
This map shows the geographic impact of Jacky T. Yeung'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 Jacky T. Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacky T. Yeung more than expected).
Fields of papers citing papers by Jacky T. Yeung
This network shows the impact of papers produced by Jacky T. Yeung. 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 Jacky T. Yeung. The network helps show where Jacky T. Yeung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacky T. Yeung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 71 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 57 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 22 | |
| 17 | 2016 | 21 | |
| 18 | 2013 | 71 | |
| 19 | 2012 | 17 | |
| 20 | 2011 | 3 |
About Jacky T. Yeung
Jacky T. Yeung is a scholar working on Genetics, Neurology and Health Informatics, having authored 46 papers that have together received 739 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Meningioma and schwannoma management (10 papers), Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Pituitary Gland Disorders and Treatments (5 papers), Transcranial Magnetic Stimulation Studies (5 papers), Vascular Malformations Diagnosis and Treatment (5 papers) and Brain Metastases and Treatment (4 papers). The work is most often cited by research in Health Informatics (60 citations), Genetics (169 citations) and Neurology (157 citations). Jacky T. Yeung has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Michael E. Sughrue, Ian F. Pollack, Regina I. Jakacki, Nicholas B. Dadario, Charles Teo, Isabella M. Young, Ketan R. Bulsara, Matthew D. Vesely, William J. Magnuson and Ronald L. Hamilton. Their work appears in journals such as World Neurosurgery, Journal of Neuro-Oncology, Clinical Neurology and Neurosurgery, Brain and Behavior 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.