Dali Tong
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Behavioral Neuroscience top 10%
Papers in
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- Epigenetics and DNA Methylation 6
- Metabolism, Diabetes, and Cancer 5
- Cancer-related gene regulation 3
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- Prostate Cancer Treatment and Research 12
- Renal cell carcinoma treatment 3
- Co-authors
- Jun Jiang (23 shared papers)Dianzheng Zhang (20 shared papers)Gaolei Liu (18 shared papers)Qiuli Liu (20 shared papers)Weihua Lan (14 shared papers)Jing Xu (9 shared papers)Hualiang Xiao (5 shared papers)Luofu Wang (9 shared papers)
- Journals
- Cancer Biology & Therapy (3 papers)Scientific Reports (2 papers)Endocrine Connections (2 papers)Oncotarget (2 papers)Cancer and Metastasis Reviews (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Dali Tong
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 269
- Behavioral Neuroscience 45
- Biological Psychiatry 26
- Oncology 281
- Developmental Neuroscience 35
Countries citing papers authored by Dali Tong
This map shows the geographic impact of Dali 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 Dali Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dali Tong more than expected).
Fields of papers citing papers by Dali Tong
This network shows the impact of papers produced by Dali 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 Dali Tong. The network helps show where Dali Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Dali 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 106 | |
| 2 | 2017 | 88 | |
| 3 | 2018 | 86 | |
| 4 | 2018 | 84 | |
| 5 | 2016 | 58 | |
| 6 | 2014 | 54 | |
| 7 | 2017 | 53 | |
| 8 | 2011 | 51 | |
| 9 | 2015 | 51 | |
| 10 | 2016 | 49 | |
| 11 | 2020 | 48 | |
| 12 | 2020 | 34 | |
| 13 | 2022 | 24 | |
| 14 | 2017 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 2012 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2017 | 17 | |
| 19 | 2017 | 16 | |
| 20 | 2018 | 15 |
About Dali Tong
Dali Tong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Surgery, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Cancer, Hypoxia, and Metabolism (7 papers), Epigenetics and DNA Methylation (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Renal cell carcinoma treatment (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cancer Research (269 citations), Behavioral Neuroscience (45 citations), Biological Psychiatry (26 citations), Oncology (281 citations) and Developmental Neuroscience (35 citations). Dali Tong has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Jun Jiang, Dianzheng Zhang, Gaolei Liu, Qiuli Liu, Weihua Lan, Jing Xu, Hualiang Xiao, Luofu Wang, Lin-ang Wang and Jian Pang. Their work appears in journals such as Cancer Biology & Therapy, Scientific Reports, Endocrine Connections, Oncotarget and Cancer and Metastasis Reviews.
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.