Yangfu Jiang
- Cancer Research top 1%
- Protease and Inhibitor Mechanisms 7
- Oncology top 2%
- Peptidase Inhibition and Analysis 5
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer 10
- Protein Kinase Regulation and GTPase Signaling 7
- Heat shock proteins research 6
- Histone Deacetylase Inhibitors Research 5
- Immunology and Allergy top 2%
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease 9
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- Nuclear Receptors and Signaling 5
Yangfu Jiang
66 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Cancer Research 1.2k
- Oncology 1.1k
- Molecular Biology 2.7k
- Immunology and Allergy 214
- Cell Biology 507
Countries citing papers authored by Yangfu Jiang
This map shows the geographic impact of Yangfu 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 Yangfu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangfu Jiang more than expected).
Fields of papers citing papers by Yangfu Jiang
This network shows the impact of papers produced by Yangfu 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 Yangfu Jiang. The network helps show where Yangfu Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yangfu 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 6 | |
| 6 | cAMP-PKA/EPAC signaling and cancer: the interplay in tumor microenvironmentbreakdown → | 2024 | 59 |
| 7 | 2023 | 7 | |
| 8 | Signaling pathways and targeted therapy for myocardial infarctionbreakdown → | 2022 | 501 |
| 9 | 2022 | 14 | |
| 10 | Complex roles of cAMP–PKA–CREB signaling in cancerbreakdown → | 2020 | 305 |
| 11 | 2018 | 31 | |
| 12 | 2015 | 26 | |
| 13 | 2014 | 50 | |
| 14 | 2012 | 14 | |
| 15 | 2012 | 30 | |
| 16 | 2011 | 225 | |
| 17 | 2010 | 29 | |
| 18 | 2009 | 85 | |
| 19 | 2006 | 7 | |
| 20 | 2004 | 74 |
About Yangfu Jiang
Yangfu Jiang is a scholar working on Cancer Research, Cell Biology, Molecular Biology, Oncology and Applied Microbiology and Biotechnology, having authored 70 papers that have together received 4.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (10 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Protease and Inhibitor Mechanisms (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Heat shock proteins research (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Nuclear Receptors and Signaling (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.1k citations), Molecular Biology (2.7k citations), Immunology and Allergy (214 citations) and Cell Biology (507 citations). Yangfu Jiang has collaborated with scholars based in China, United States and France. Frequent co-authors include Hui Hua, Qingbin Kong, Ting Luo, Jiao Wang, Hongying Zhang, Itzhak D. Goldberg, Y. Eric Shi, Hui Hua, Yancun Yin and Minjing Li. Their work appears in journals such as Journal of Hematology & Oncology, Cell Death and Disease, Journal of Cellular and Molecular Medicine, Journal of Biological Chemistry and Experimental Hematology and Oncology.
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.