Betty Tong
- Molecular Biology
- Oncology top 10%
- Genetics top 10%
- Immunology
- Otorhinolaryngology top 5%
- Co-authors
- Adrian BarbulH. Leighton GrimesPhilip N. TsichlisWilliam H. WestraPatrick A. Zweidler‐McKayTung O. ChanDavid SidranskyJoseph A. Califano
- Topics
- Lung Cancer Treatments and Mutations (4 papers)RNA modifications and cancer (3 papers)Lung Cancer Diagnosis and Treatment (3 papers)
- Journals
- Journal of Clinical InvestigationMolecular and Cellular BiologyInternational Journal of Cancer
- Partner nations
- United StatesItaly
In The Last Decade
Betty Tong
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 417
- Oncology 252
- Genetics 243
- Immunology 130
- Otorhinolaryngology 118
Countries citing papers authored by Betty Tong
This map shows the geographic impact of Betty Tong'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 Betty Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Betty Tong more than expected).
Fields of papers citing papers by Betty Tong
This network shows the impact of papers produced by Betty Tong. 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 Betty Tong. The network helps show where Betty Tong may publish in the future.
Co-authorship network of co-authors of Betty Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Betty Tong. A scholar is included among the top collaborators of Betty Tong 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 Betty Tong. Betty Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 31 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 34 | |
| 9 | 142 | |
| 10 | 33 | |
| 11 | Methylation of the thyroid-stimulating hormone receptor gene in epithelial thyroid tumors: a marker of malignancy and a cause of gene silencing. | 125 |
| 12 | 110 | |
| 13 | Real-time quantitative PCR demonstrates low prevalence of human papillomavirus type 16 in premalignant and malignant lesions of the oral cavity. | 116 |
| 14 | Mitochondrial C-tract alteration in premalignant lesions of the head and neck: a marker for progression and clonal proliferation. | 94 |
| 15 | 104 | |
| 16 | 236 |
About Betty Tong
Betty Tong is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Oncology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), RNA modifications and cancer (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Otorhinolaryngology (118 citations), Periodontics (56 citations) and Oncology (252 citations). Betty Tong has collaborated with scholars based in United States and Italy. Frequent co-authors include Adrian Barbul, H. Leighton Grimes, Philip N. Tsichlis, William H. Westra, Patrick A. Zweidler‐McKay, Tung O. Chan, David Sidransky, Joseph A. Califano, Patrick K. Ha and Duvuru Geetha. Their work appears in journals such as Journal of Clinical Investigation, Molecular and Cellular Biology and International Journal of Cancer.
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.