Gangling Tong
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 5
- RNA Research and Splicing 3
- Oncology 5
- Co-authors
- Boran Cheng (13 shared papers)Shubin Wang (16 shared papers)Xuan Wu (6 shared papers)Yingying Lü (2 shared papers)Yunsheng Xu (2 shared papers)Hong Peng (2 shared papers)Miao Cui (2 shared papers)Xiaolin Wang (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)PeerJ (2 papers)Frontiers in Oncology (2 papers)Annals of Oncology (2 papers)Cancer Management and Research (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Gangling Tong
28 papers receiving 470 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 159
- Cancer Research 69
- Neurology 68
- Immunology 81
- Oncology 87
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 204 | |
| 2 | 2021 | 40 | |
| 3 | 2019 | 38 | |
| 4 | Knockdown of HOXA-AS2 suppresses proliferation and induces apoptosis in colorectal cancer. | 2017 | 29 |
| 5 | 2021 | 28 | |
| 6 | 2019 | 26 | |
| 7 | 2019 | 21 | |
| 8 | 2021 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Gangling Tong
Gangling Tong is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 31 papers that have together received 475 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers), RNA Research and Splicing (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), COVID-19 Clinical Research Studies (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Infectious Diseases (159 citations), Cancer Research (69 citations), Neurology (68 citations), Immunology (81 citations) and Oncology (87 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, Yingying Lü, Yunsheng Xu, Hong Peng, Miao Cui, Xiaolin Wang, Feng Qiu and Feng Liu. Their work appears in journals such as Frontiers in Immunology, PeerJ, Frontiers in Oncology, Annals of Oncology and Cancer Management and Research.
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.