Gangling Tong
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 2
-
- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Boran Cheng (13 shared papers)Shubin Wang (16 shared papers)Xuan Wu (6 shared papers)Hong Wei Peng (2 shared papers)Xiaolin Wang (2 shared papers)Miao Cui (2 shared papers)Feng Liu (2 shared papers)Yunsheng Xu (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Signal Transduction and Targeted Therapy (2 papers)Annals of Oncology (2 papers)Frontiers in Oncology (2 papers)Biochemical Genetics (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Gangling Tong
31 papers receiving 614 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 188
- Cancer Research 123
- Neurology 93
- Oncology 121
- Immunology 92
Countries citing papers authored by Gangling Tong
This map shows the geographic impact of Gangling 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 Gangling Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gangling Tong more than expected).
Fields of papers citing papers by Gangling Tong
This network shows the impact of papers produced by Gangling 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 Gangling Tong. The network helps show where Gangling Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Gangling 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 222 | |
| 2 | 2020 | 86 | |
| 3 | 2021 | 47 | |
| 4 | 2019 | 38 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 30 | |
| 7 | Knockdown of HOXA-AS2 suppresses proliferation and induces apoptosis in colorectal cancer. | 2017 | 29 |
| 8 | 2019 | 27 | |
| 9 | 2019 | 21 | |
| 10 | 2021 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2021 | 3 |
About Gangling Tong
Gangling Tong is a scholar working on Cancer Research, Hepatology, Infectious Diseases, Oncology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 627 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), MicroRNA in disease regulation (4 papers), COVID-19 Clinical Research Studies (3 papers), RNA Research and Splicing (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Infectious Diseases (188 citations), Cancer Research (123 citations), Neurology (93 citations), Oncology (121 citations) and Immunology (92 citations). Gangling Tong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Boran Cheng, Shubin Wang, Xuan Wu, Hong Wei Peng, Xiaolin Wang, Miao Cui, Feng Liu, Yunsheng Xu, Feng Qiu and Zhihua Zheng. Their work appears in journals such as Frontiers in Immunology, Signal Transduction and Targeted Therapy, Annals of Oncology, Frontiers in Oncology and Biochemical Genetics.
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.