Ton Wang

1.2k citations
59 papers · 855 · h-index 14

Impact in

    • Breast Cancer Treatment Studies
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

Ton Wang

50 papers receiving 848 citations

Peers

Ton Wang
Comparison fields: 5 of 90
  • Cancer Research 296
  • Oncology 186
  • Molecular Biology 333
  • Pathology and Forensic Medicine 67
  • Hepatology 27
Replace Gary J. Smith with:
Gary J. Smith United States
Minhe Shen China
Marco H. Hofmann Austria
Xilin Lyu China
Jean-Philippe Spano France
Dominique Könsgen Germany
Patricia Farmer Canada
Neha Malik United States
Alejandra Perez United States
Sei‐Hyun Ahn South Korea
Ton Wang relative to Gary J. Smith United States Gary J. Smith's profile →
Citations per field
00.5×7.4×
Gary J. Smith · 1×
Citations per year

Countries citing papers authored by Ton Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ton Wang Line = papers co-authored together Ton Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021133
2 2018101
3 202076
4 201271
5 201152
6 201146
7 202141
8 200940
9 202032
10 202127
11 202027
12 200926
13 202017
14 202014
15 202112
16 202112
17 202011
18 201910
19 20209
20 20219

About Ton Wang

Ton Wang is a scholar working on Cancer Research, Molecular Biology, General Health Professions, Oncology and Surgery, having authored 59 papers that have together received 855 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (17 papers), Healthcare cost, quality, practices (5 papers), BRCA gene mutations in cancer (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Breast Implant and Reconstruction (3 papers), Heat shock proteins research (2 papers), Cell death mechanisms and regulation (2 papers) and Economic and Financial Impacts of Cancer (2 papers). The work is most often cited by research in Cancer Research (296 citations), Oncology (186 citations), Molecular Biology (333 citations), Pathology and Forensic Medicine (67 citations) and Hepatology (27 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, Olorunseun O. Ogunwobi, Xingming Deng, Chitra Subramanian, Nicholas L. Berlin, Lucy Zhang 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.

Explore authors with similar magnitude of impact