Huay Ben Pan
- Neurology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Cellular and Molecular Neuroscience
- Co-authors
- Ping LaiJiing Feng LirngChang MingR D TienMichael Mu‐Huo TengClement ChenShangwu DingChi Wai Yip
- Topics
- Infectious Diseases and Tuberculosis (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)Intracranial Aneurysms: Treatment and Complications (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Huay Ben Pan
7 papers receiving 378 citations
Peers
Comparison fields: 5 of 58
- Neurology 129
- Endocrinology, Diabetes and Metabolism 127
- Radiology, Nuclear Medicine and Imaging 122
- Surgery 118
- Cellular and Molecular Neuroscience 115
Countries citing papers authored by Huay Ben Pan
This map shows the geographic impact of Huay Ben Pan'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 Huay Ben Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huay Ben Pan more than expected).
Fields of papers citing papers by Huay Ben Pan
This network shows the impact of papers produced by Huay Ben Pan. 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 Huay Ben Pan. The network helps show where Huay Ben Pan may publish in the future.
Co-authorship network of co-authors of Huay Ben Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Huay Ben Pan. A scholar is included among the top collaborators of Huay Ben Pan 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 Huay Ben Pan. Huay Ben Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | Pyogenic brain abscess: findings from in vivo 1.5-T and 11.7-T in vitro proton MR spectroscopy. | 35 |
| 4 | Aberrant course of Swan-Ganz catheter revealing persistent left superior vena cava. | 4 |
| 5 | Brain abscess and necrotic brain tumor: discrimination with proton MR spectroscopy and diffusion-weighted imaging. | 209 |
| 6 | Recurrent inverted papilloma: diagnosis with pharmacokinetic dynamic gadolinium-enhanced MR imaging. | 21 |
| 7 | Chorea-ballismus with nonketotic hyperglycemia in primary diabetes mellitus. | 123 |
About Huay Ben Pan
Huay Ben Pan is a scholar working on Microbiology, Neurology and Reproductive Medicine, having authored 7 papers that have together received 399 indexed citations. Recurring topics across this work include Infectious Diseases and Tuberculosis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Intracranial Aneurysms: Treatment and Complications (1 paper). The work is most often cited by research in Microbiology (61 citations), Neurology (129 citations) and Endocrinology, Diabetes and Metabolism (127 citations). Huay Ben Pan has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ping Lai, Jiing Feng Lirng, Chang Ming, R D Tien, Michael Mu‐Huo Teng, Clement Chen, Shangwu Ding, Chi Wai Yip and Ming Wu. Their work appears in journals such as Neurology, American Journal of Neuroradiology and Korean Journal of Radiology.
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.