Tony Wang
Impact in
- Periodontics top 0.5%
- Oral microbiology and periodontitis research
- Oral Health Pathology and Treatment
- Health Informatics top 2%
Papers in
- Co-authors
- Deborah F. Tate (3 shared papers)Barry M. Popkin (2 shared papers)Ricardo Teles (3 shared papers)Elizabeth Lyons (2 shared papers)Jorge Frias‐Lopez (1 shared paper)Keerthana Krishnan (1 shared paper)Ana Duran-Pinedo (1 shared paper)Jacqueline R. Starr (1 shared paper)
- Journals
- American Journal of Clinical Nutrition (3 papers)Neurological Research (2 papers)Journal Of Clinical Periodontology (2 papers)Neuro-Oncology (2 papers)Chemical Engineering Science (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Tony Wang
64 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 174
- Periodontics 338
- Health Informatics 55
- Physiology 337
- Immunology and Allergy 73
- Public Health, Environmental and Occupational Health 255
Countries citing papers authored by Tony Wang
This map shows the geographic impact of Tony 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 Tony Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Wang more than expected).
Fields of papers citing papers by Tony Wang
This network shows the impact of papers produced by Tony 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 Tony Wang. The network helps show where Tony Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tony 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 271 | |
| 2 | 2014 | 247 | |
| 3 | 2019 | 154 | |
| 4 | 2022 | 130 | |
| 5 | 2004 | 103 | |
| 6 | 2007 | 99 | |
| 7 | 2009 | 99 | |
| 8 | 2004 | 91 | |
| 9 | 2003 | 87 | |
| 10 | 2007 | 75 | |
| 11 | 2013 | 67 | |
| 12 | 2020 | 66 | |
| 13 | 2006 | 66 | |
| 14 | 2013 | 65 | |
| 15 | 2013 | 58 | |
| 16 | 2013 | 54 | |
| 17 | 2015 | 45 | |
| 18 | 2012 | 45 | |
| 19 | 2023 | 42 | |
| 20 | 2013 | 40 |
About Tony Wang
Tony Wang is a scholar working on Molecular Biology, Epidemiology, Physiology, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (4 papers), Nonlinear Differential Equations Analysis (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Asthma and respiratory diseases (4 papers), Oral microbiology and periodontitis research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Neural and Behavioral Psychology Studies (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Periodontics (338 citations), Health Informatics (55 citations), Physiology (337 citations), Immunology and Allergy (73 citations) and Public Health, Environmental and Occupational Health (255 citations). Tony Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Deborah F. Tate, Barry M. Popkin, Ricardo Teles, Elizabeth Lyons, Jorge Frias‐Lopez, Keerthana Krishnan, Ana Duran-Pinedo, Jacqueline R. Starr, Tsute Chen and Feng Li. Their work appears in journals such as American Journal of Clinical Nutrition, Neurological Research, Journal Of Clinical Periodontology, Neuro-Oncology and Chemical Engineering Science.
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.