Shiuh‐Lin Hwang
- Surgery top 10%
- Neurology top 5%
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Epidemiology
- Co-authors
- Shen‐Long HowngAnn‐Shung LieuChih‐Lung LinS L HowngKung‐Shing LeeTzuu‐Yuan HuangYu‐Feng SuKing‐Teh Lee
- Topics
- Glioma Diagnosis and Treatment (20 papers)Spine and Intervertebral Disc Pathology (12 papers)Meningioma and schwannoma management (12 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Shiuh‐Lin Hwang
85 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Surgery 391
- Neurology 374
- Pathology and Forensic Medicine 291
- Molecular Biology 260
- Epidemiology 227
Countries citing papers authored by Shiuh‐Lin Hwang
This map shows the geographic impact of Shiuh‐Lin Hwang'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 Shiuh‐Lin Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiuh‐Lin Hwang more than expected).
Fields of papers citing papers by Shiuh‐Lin Hwang
This network shows the impact of papers produced by Shiuh‐Lin Hwang. 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 Shiuh‐Lin Hwang. The network helps show where Shiuh‐Lin Hwang may publish in the future.
Co-authorship network of co-authors of Shiuh‐Lin Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Shiuh‐Lin Hwang. A scholar is included among the top collaborators of Shiuh‐Lin Hwang 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 Shiuh‐Lin Hwang. Shiuh‐Lin Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 60 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 56 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | 22 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 21 | |
| 15 | The change of relative incidences of intracranial tumors after the use of computed tomography in Taiwan. | 3 |
| 16 | 23 | |
| 17 | 16 | |
| 18 | Prognostic evaluation in supratentorial astrocytic tumors using p53, epidermal growth factor receptor, c-erbB-2 immunostaining. | 10 |
| 19 | Immunohistochemical demonstration with anti-bromodeoxyuridine monoclonal antibody in experimental meningeal carcinomatosis model. | 1 |
| 20 | Expression of epidermal growth factor receptors and c-erbB-2 proteins in human astrocytic tumors. | 13 |
About Shiuh‐Lin Hwang
Shiuh‐Lin Hwang is a scholar working on Genetics, Neurology and Pathology and Forensic Medicine, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Spine and Intervertebral Disc Pathology (12 papers) and Meningioma and schwannoma management (12 papers). The work is most often cited by research in Neurology (374 citations), Genetics (200 citations) and Pathology and Forensic Medicine (291 citations). Shiuh‐Lin Hwang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Shen‐Long Howng, Ann‐Shung Lieu, Chih‐Lung Lin, S L Howng, Ann‐Shung Lieu, Kung‐Shing Lee, Tzuu‐Yuan Huang, Yu‐Feng Su, King‐Teh Lee and Chee‐Yin Chai. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of neurosurgery and Diabetologia.
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.