Ton Wang
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Global Cancer Incidence and Screening
Papers in
-
- Breast Cancer Treatment Studies 23
- Oncology 16
- Global Cancer Incidence and Screening 4
- Co-authors
- Lesly A. Dossett (19 shared papers)Mark S. Cohen (8 shared papers)Alison S. Baskin (10 shared papers)Chen Liu (3 shared papers)Xingming Deng (3 shared papers)Olorunseun O. Ogunwobi (2 shared papers)Lucy Zhang (1 shared paper)Nicholas L. Berlin (5 shared papers)
- Journals
- Annals of Surgical Oncology (15 papers)The American Journal of Surgery (6 papers)Journal of Surgical Research (5 papers)JAMA Network Open (4 papers)Surgery (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ton Wang
49 papers receiving 818 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 338
- Oncology 273
- Pathology and Forensic Medicine 99
- Molecular Biology 369
- Economics and Econometrics 111
Countries citing papers authored by Ton Wang
This map shows the geographic impact of Ton 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 Ton Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ton Wang more than expected).
Fields of papers citing papers by Ton Wang
This network shows the impact of papers produced by Ton 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 Ton Wang. The network helps show where Ton Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ton 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 131 | |
| 2 | 2018 | 97 | |
| 3 | 2020 | 73 | |
| 4 | 2012 | 69 | |
| 5 | 2011 | 53 | |
| 6 | 2011 | 44 | |
| 7 | 2009 | 40 | |
| 8 | 2021 | 38 | |
| 9 | 2020 | 30 | |
| 10 | 2020 | 26 | |
| 11 | 2009 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2021 | 9 |
About Ton Wang
Ton Wang is a scholar working on Cancer Research, Oncology, Economics and Econometrics, Surgery and General Health Professions, having authored 59 papers that have together received 825 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (23 papers), Economic and Financial Impacts of Cancer (12 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Healthcare cost, quality, practices (10 papers), Breast Implant and Reconstruction (9 papers), BRCA gene mutations in cancer (4 papers), Global Cancer Incidence and Screening (4 papers) and Breast Lesions and Carcinomas (4 papers). The work is most often cited by research in Cancer Research (338 citations), Oncology (273 citations), Pathology and Forensic Medicine (99 citations), Molecular Biology (369 citations) and Economics and Econometrics (111 citations). Ton Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Lesly A. Dossett, Mark S. Cohen, Alison S. Baskin, Chen Liu, Xingming Deng, Olorunseun O. Ogunwobi, Lucy Zhang, Nicholas L. Berlin, Zhang Yang-de and Jinfeng Zhao. Their work appears in journals such as Annals of Surgical Oncology, The American Journal of Surgery, Journal of Surgical Research, JAMA Network Open and Surgery.
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.