Pan Tong
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA modifications and cancer 6
- Gut microbiota and health 2
-
- Cancer-related molecular mechanisms research 4
- Cancer Genomics and Diagnostics 3
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Jing Wang (15 shared papers)John V. Heymach (12 shared papers)Lauren A. Byers (8 shared papers)Ignacio I. Wistuba (7 shared papers)John D. Minna (3 shared papers)Carmen Behrens (5 shared papers)Alissa Poteete (3 shared papers)Piyada Sitthideatphaiboon (3 shared papers)
- Journals
- Cancer Research (6 papers)Clinical Cancer Research (4 papers)Parasites & Vectors (2 papers)Oncotarget (2 papers)Ceramics International (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Pan Tong
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 219
- Oncology 284
- Molecular Biology 537
- Immunology 126
- Cell Biology 93
Countries citing papers authored by Pan Tong
This map shows the geographic impact of Pan 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 Pan Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Tong more than expected).
Fields of papers citing papers by Pan Tong
This network shows the impact of papers produced by Pan 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 Pan Tong. The network helps show where Pan Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Tong, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 222 | |
| 2 | 2016 | 170 | |
| 3 | 2016 | 72 | |
| 4 | 2020 | 50 | |
| 5 | 2016 | 43 | |
| 6 | 2019 | 42 | |
| 7 | 2024 | 41 | |
| 8 | 2015 | 40 | |
| 9 | 2015 | 40 | |
| 10 | 2015 | 39 | |
| 11 | 2022 | 35 | |
| 12 | 2017 | 34 | |
| 13 | 2021 | 29 | |
| 14 | 2014 | 25 | |
| 15 | 2017 | 23 | |
| 16 | 2022 | 18 | |
| 17 | 2016 | 18 | |
| 18 | 2018 | 16 | |
| 19 | 2016 | 14 | |
| 20 | 2021 | 13 |
About Pan Tong
Pan Tong is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Plant Science, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Microtubule and mitosis dynamics (4 papers), Cancer-related molecular mechanisms research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Genomics and Diagnostics (3 papers), Ferroelectric and Piezoelectric Materials (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Cancer Research (219 citations), Oncology (284 citations), Molecular Biology (537 citations), Immunology (126 citations) and Cell Biology (93 citations). Pan Tong has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jing Wang, John V. Heymach, Lauren A. Byers, Ignacio I. Wistuba, John D. Minna, Carmen Behrens, Alissa Poteete, Piyada Sitthideatphaiboon, Hua Li and Marlese A. Pisegna. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Parasites & Vectors, Oncotarget and Ceramics International.
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.