Jacky T. Yeung
- Genetics top 5%
- Oncology
- Neurology top 10%
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Michael E. SughrueIan F. PollackRegina I. JakackiNicholas B. DadarioCharles TeoIsabella M. YoungKetan R. BulsaraMatthew D. Vesely
- Topics
- Glioma Diagnosis and Treatment (15 papers)Meningioma and schwannoma management (10 papers)Functional Brain Connectivity Studies (7 papers)
- Cited by
- Health InformaticsGeneticsNeurology
- Journals
- Clinical Cancer ResearchJournal of neurosurgeryInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Jacky T. Yeung
45 papers receiving 730 citations
Peers
Comparison fields: 5 of 88
- Genetics 169
- Oncology 161
- Neurology 157
- Pulmonary and Respiratory Medicine 141
- Radiology, Nuclear Medicine and Imaging 124
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 of co-authors of Jacky T. Yeung
This figure shows the co-authorship network connecting the top 25 collaborators of Jacky T. Yeung. A scholar is included among the top collaborators of Jacky T. Yeung 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 Jacky T. Yeung. Jacky T. Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 71 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 10 | |
| 13 | 57 | |
| 14 | 17 | |
| 15 | 2 | |
| 16 | 22 | |
| 17 | 21 | |
| 18 | 71 | |
| 19 | 17 | |
| 20 | 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) and Functional Brain Connectivity Studies (7 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 Clinical Cancer Research, Journal of neurosurgery and International Journal of Radiation Oncology*Biology*Physics.
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.