Shu‐Rong Wang
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Wenwen YueShoujun YuYong GuYing-xiu ZhangYonglin ZhangPeng CaoHui‐Xiong XuBin Wang
- Topics
- Thyroid Cancer Diagnosis and Treatment (14 papers)Thyroid and Parathyroid Surgery (11 papers)Neural dynamics and brain function (11 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Shu‐Rong Wang
69 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Surgery 509
- Endocrinology, Diabetes and Metabolism 508
- Molecular Biology 232
- Cognitive Neuroscience 187
- Cellular and Molecular Neuroscience 176
Countries citing papers authored by Shu‐Rong Wang
This map shows the geographic impact of Shu‐Rong Wang'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 Shu‐Rong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Rong Wang more than expected).
Fields of papers citing papers by Shu‐Rong Wang
This network shows the impact of papers produced by Shu‐Rong Wang. 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 Shu‐Rong Wang. The network helps show where Shu‐Rong Wang may publish in the future.
Co-authorship network of co-authors of Shu‐Rong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Rong Wang. A scholar is included among the top collaborators of Shu‐Rong Wang 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 Shu‐Rong Wang. Shu‐Rong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 36 | |
| 7 | 3 | |
| 8 | 53 | |
| 9 | 25 | |
| 10 | 31 | |
| 11 | 63 | |
| 12 | 30 | |
| 13 | 75 | |
| 14 | 9 | |
| 15 | 33 | |
| 16 | [Adenovirus vector mediated human 14-3-3 γ gene transfer protects dopaminergic cells against rotenone-induced injury]. | 1 |
| 17 | 60 | |
| 18 | 12 | |
| 19 | 19 | |
| 20 | 37 |
About Shu‐Rong Wang
Shu‐Rong Wang is a scholar working on Developmental Biology, Endocrinology, Diabetes and Metabolism and Cognitive Neuroscience, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (14 papers), Thyroid and Parathyroid Surgery (11 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (508 citations), Developmental Biology (44 citations) and Surgery (509 citations). Shu‐Rong Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wenwen Yue, Shoujun Yu, Yong Gu, Ying-xiu Zhang, Yonglin Zhang, Peng Cao, Hui‐Xiong Xu, Bin Wang, Qingling Xu and Xiju Wang. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.