Ricky T. Tong
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 5%
- Biomedical Engineering top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Rakesh K. JainFrank WinklerLance L. MunnDaniel J. HicklinSergey V. KozinLei XuYves BoucherDai Fukumura
- Topics
- Angiogenesis and VEGF in Cancer (5 papers)Lymphatic System and Diseases (4 papers)Cancer Cells and Metastasis (3 papers)
- Partner nations
- United StatesIndiaBahrain
In The Last Decade
Ricky T. Tong
22 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.3k
- Cancer Research 1.6k
- Oncology 981
- Biomedical Engineering 708
- Pulmonary and Respiratory Medicine 563
Countries citing papers authored by Ricky T. Tong
This map shows the geographic impact of Ricky T. 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 Ricky T. Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricky T. Tong more than expected).
Fields of papers citing papers by Ricky T. Tong
This network shows the impact of papers produced by Ricky T. 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 Ricky T. Tong. The network helps show where Ricky T. Tong may publish in the future.
Co-authorship network of co-authors of Ricky T. Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Ricky T. Tong. A scholar is included among the top collaborators of Ricky T. 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 Ricky T. Tong. Ricky T. 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 | 10 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 49 | |
| 7 | 13 | |
| 8 | 29 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 53 | |
| 12 | Hypoxia-Inducible mir-210 Regulates Normoxic Gene Expression Involved in Tumor Initiationbreakdown → | 515 |
| 13 | 488 | |
| 14 | 101 | |
| 15 | 108 | |
| 16 | 67 | |
| 17 | 22 | |
| 18 | Kinetics of vascular normalization by VEGFR2 blockade governs brain tumor response to radiationbreakdown → | 976 |
| 19 | 138 | |
| 20 | Vascular Normalization by Vascular Endothelial Growth Factor Receptor 2 Blockade Induces a Pressure Gradient Across the Vasculature and Improves Drug Penetration in Tumorsbreakdown → | 943 |
About Ricky T. Tong
Ricky T. Tong is a scholar working on Internal Medicine, Biophysics and Ophthalmology, having authored 23 papers that have together received 4.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Lymphatic System and Diseases (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (1.6k citations), Modeling and Simulation (184 citations) and Oncology (981 citations). Ricky T. Tong has collaborated with scholars based in United States, India and Bahrain. Frequent co-authors include Rakesh K. Jain, Frank Winkler, Lance L. Munn, Daniel J. Hicklin, Sergey V. Kozin, Lei Xu, Yves Boucher, Dai Fukumura, David Cochran and Emmanuelle di Tomaso. Their work appears in journals such as Journal of the American Chemical Society, Nature Medicine and Journal of Clinical Oncology.
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.