Chiung‐Chyi Shen
- Molecular Biology top 10%
- Surgery top 5%
- Neurology top 2%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Yi‐Chin YangWen-Yu ChengBai‐Shuan LiuMing‐Tsang ChiaoYuang-Seng TsueiJiunn‐Liang KoShao-Ching ChaoHsu‐Tung Lee
- Topics
- Intracranial Aneurysms: Treatment and Complications (20 papers)Glioma Diagnosis and Treatment (18 papers)Vascular Malformations Diagnosis and Treatment (16 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chiung‐Chyi Shen
142 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 762
- Surgery 660
- Neurology 634
- Epidemiology 570
- Endocrinology, Diabetes and Metabolism 482
Countries citing papers authored by Chiung‐Chyi Shen
This map shows the geographic impact of Chiung‐Chyi Shen'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 Chiung‐Chyi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiung‐Chyi Shen more than expected).
Fields of papers citing papers by Chiung‐Chyi Shen
This network shows the impact of papers produced by Chiung‐Chyi Shen. 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 Chiung‐Chyi Shen. The network helps show where Chiung‐Chyi Shen may publish in the future.
Co-authorship network of co-authors of Chiung‐Chyi Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Chiung‐Chyi Shen. A scholar is included among the top collaborators of Chiung‐Chyi Shen 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 Chiung‐Chyi Shen. Chiung‐Chyi Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | Pasireotide LAR vs octreotide LAR in patients with acromegaly: double-blind, crossover, extension period to a randomized, double-blind, multicenter, phase III study | 3 |
| 15 | 48 | |
| 16 | 3 | |
| 17 | 23 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 31 |
About Chiung‐Chyi Shen
Chiung‐Chyi Shen is a scholar working on Neurology, Genetics and Developmental Neuroscience, having authored 152 papers that have together received 2.9k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (20 papers), Glioma Diagnosis and Treatment (18 papers) and Vascular Malformations Diagnosis and Treatment (16 papers). The work is most often cited by research in Genetics (474 citations), Neurology (634 citations) and Endocrinology, Diabetes and Metabolism (482 citations). Chiung‐Chyi Shen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yi‐Chin Yang, Wen-Yu Cheng, Bai‐Shuan Liu, Ming‐Tsang Chiao, Yuang-Seng Tsuei, Jiunn‐Liang Ko, Shao-Ching Chao, Hsu‐Tung Lee, Meng‐Yin Yang and Hsi‐Kai Tsou. Their work appears in journals such as Molecular Cell, The Journal of Clinical Endocrinology & Metabolism and Stroke.
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.