S.L. Wang
Impact in
- Urology top 10%
- Periodontal Regeneration and Treatments
-
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
-
- Veterinary Oncology Research 12
-
- Infectious Diseases and Mycology 5
- Veterinary Medicine and Surgery 4
- Co-authors
- Albert Taiching Liao (9 shared papers)Jih‐Jong Lee (8 shared papers)Ming‐Chin Yang (1 shared paper)Lucía Jiménez‐Rojo (1 shared paper)Bing Hu (1 shared paper)H. Lesot (1 shared paper)Youssef Haïkel (1 shared paper)Fernando Unda (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (11 papers)The Veterinary Journal (4 papers)Animals (3 papers)Sensors and Actuators B Chemical (1 paper)Acta Tropica (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
S.L. Wang
37 papers receiving 362 citations
Peers
Comparison fields: 5 of 82
- Urology 43
- Genetics 52
- Small Animals 27
- Radiation 26
- Emergency Medical Services 18
Countries citing papers authored by S.L. Wang
This map shows the geographic impact of S.L. 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 S.L. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.L. Wang more than expected).
Fields of papers citing papers by S.L. Wang
This network shows the impact of papers produced by S.L. 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 S.L. Wang. The network helps show where S.L. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside S.L. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 98 | |
| 2 | 2009 | 66 | |
| 3 | 2015 | 29 | |
| 4 | 1999 | 29 | |
| 5 | Comparison of efficacy and toxicity of doxorubicin and mitoxantrone in combination chemotherapy for canine lymphoma. | 2016 | 26 |
| 6 | 2010 | 16 | |
| 7 | 2012 | 15 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2005 | 4 |
About S.L. Wang
S.L. Wang is a scholar working on Pulmonary and Respiratory Medicine, Small Animals, Oncology, Surgery and Pathology and Forensic Medicine, having authored 41 papers that have together received 372 indexed citations. Recurring topics across this work include Veterinary Oncology Research (12 papers), Infectious Diseases and Mycology (5 papers), Breast Cancer Treatment Studies (4 papers), Virus-based gene therapy research (4 papers), Breast Lesions and Carcinomas (4 papers), Veterinary Medicine and Surgery (4 papers), Vector-borne infectious diseases (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Urology (43 citations), Genetics (52 citations), Small Animals (27 citations), Radiation (26 citations) and Emergency Medical Services (18 citations). S.L. Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Albert Taiching Liao, Jih‐Jong Lee, Ming‐Chin Yang, Lucía Jiménez‐Rojo, Bing Hu, H. Lesot, Youssef Haïkel, Fernando Unda, C.Y. Chang and H. T. Wong. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, The Veterinary Journal, Animals, Sensors and Actuators B Chemical and Acta Tropica.
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.