Feng Jiang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Molecular Biology top 10%
- RNA modifications and cancer
- Ion channel regulation and function
- Epigenetics and DNA Methylation
Papers in
-
- Cancer-related molecular mechanisms research 21
- Cancer, Hypoxia, and Metabolism 10
Feng Jiang
123 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 562
- Molecular Biology 1.0k
- Modeling and Simulation 56
- Developmental Neuroscience 45
- Pulmonary and Respiratory Medicine 355
Countries citing papers authored by Feng Jiang
This map shows the geographic impact of Feng Jiang'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 Feng Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Jiang more than expected).
Fields of papers citing papers by Feng Jiang
This network shows the impact of papers produced by Feng Jiang. 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 Feng Jiang. The network helps show where Feng Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Jiang, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 29 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 16 | |
| 14 | LINC01006 and miR-3199 Serve as Novel Markers of Poor Prognosis in Colon Cancer and Regulate Cell Proliferation, Migration and Invasion | 2022 | 1 |
| 15 | 2021 | 3 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 17 | |
| 18 | 2021 | 19 | |
| 19 | 2019 | 51 | |
| 20 | [Primary lymphoma of breast: a clinicopathologic, immunophenotypic and prognostic study of 21 cases]. | 2010 | 2 |
About Feng Jiang
Feng Jiang is a scholar working on Cancer Research, Otorhinolaryngology, Pulmonary and Respiratory Medicine, Molecular Biology and Dermatology, having authored 140 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (24 papers), Cancer-related molecular mechanisms research (21 papers), Ferroptosis and cancer prognosis (18 papers), Ion channel regulation and function (11 papers), Pain Mechanisms and Treatments (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Venomous Animal Envenomation and Studies (8 papers) and Acute Myeloid Leukemia Research (6 papers). The work is most often cited by research in Cancer Research (562 citations), Molecular Biology (1.0k citations), Modeling and Simulation (56 citations), Developmental Neuroscience (45 citations) and Pulmonary and Respiratory Medicine (355 citations). Feng Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chuyan Wu, Lin Xu, Gaochao Dong, Qixing Mao, Wenjie Xia, Youtao Xu, Jie Wang, Per Malkus, Randy Schekman and Yonghua Ji. Their work appears in journals such as Journal of Oncology, Scientific Reports, Journal of Cosmetic Dermatology, Frontiers in Oncology and Frontiers in Immunology.
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.