Tong Chen
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
- Gut microbiota and health
Papers in
-
- Cancer-related molecular mechanisms research 19
- MicroRNA in disease regulation 13
- Hematology 18
- Hematopoietic Stem Cell Transplantation 11
Tong Chen
201 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 1.4k
- Molecular Biology 3.1k
- Biological Psychiatry 101
- Genetics 407
- Biochemistry 193
Countries citing papers authored by Tong Chen
This map shows the geographic impact of Tong Chen'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 Tong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Chen more than expected).
Fields of papers citing papers by Tong Chen
This network shows the impact of papers produced by Tong Chen. 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 Tong Chen. The network helps show where Tong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tong Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 42 | |
| 12 | 2019 | 107 | |
| 13 | circRNA_0025202 Regulates Tamoxifen Sensitivity and Tumor Progression via Regulating the miR-182-5p/FOXO3a Axis in Breast Cancer Hit paper breakdown → | 2019 | 340 |
| 14 | 2019 | 2 | |
| 15 | 2018 | 9 | |
| 16 | 2017 | 77 | |
| 17 | 2017 | 65 | |
| 18 | 2013 | 56 | |
| 19 | Novel human pathological mutations. Gene symbol: FBN1. Disease: Marfan syndrome. | 2007 | 1 |
| 20 | Photochemoprevention of UVB-induced skin carcinogenesis in SKH-1 mice by brown algae polyphenols. | 2006 | 1 |
About Tong Chen
Tong Chen is a scholar working on Cancer Research, Hematology, Genetics, Oncology and Molecular Biology, having authored 218 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), RNA modifications and cancer (13 papers), MicroRNA in disease regulation (13 papers), Cancer Cells and Metastasis (13 papers), Circular RNAs in diseases (12 papers), Hematopoietic Stem Cell Transplantation (11 papers), Mesenchymal stem cell research (11 papers) and Cancer-related gene regulation (10 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (3.1k citations), Biological Psychiatry (101 citations), Genetics (407 citations) and Biochemistry (193 citations). Tong Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zack Z. Wang, Hua Jiang, Yanan You, Ni Shi, Qifeng Yang, Yan Yuan, Gary D. Stoner, Ning Zhang, Hanwen Zhang and Bing Chen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Death and Disease, Oncotarget, Cancer Research and Blood.
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.