Jingna Su
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Wnt/β-catenin signaling in development and cancer 2
- Ubiquitin and proteasome pathways 2
- Signaling Pathways in Disease 1
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- Microtubule and mitosis dynamics 2
- Co-authors
- Xuyuan Yin (12 shared papers)Xiuxia Zhou (11 shared papers)Zhiwei Wang (10 shared papers)Lixia Wang (7 shared papers)Xiantao Ye (5 shared papers)Yingying Hou (6 shared papers)Zhe Zhao (6 shared papers)Nana Zheng (3 shared papers)
- Journals
- Oncotarget (5 papers)Applied Surface Science (1 paper)Applied Materials Today (1 paper)Cell Cycle (1 paper)Current Pharmaceutical Design (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jingna Su
17 papers receiving 421 citations
Peers
Comparison fields: 5 of 75
- Molecular Medicine 69
- Cancer Research 84
- Molecular Biology 285
- Cell Biology 62
- Oncology 85
Countries citing papers authored by Jingna Su
This map shows the geographic impact of Jingna Su'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 Jingna Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingna Su more than expected).
Fields of papers citing papers by Jingna Su
This network shows the impact of papers produced by Jingna Su. 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 Jingna Su. The network helps show where Jingna Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingna Su, 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 | 2015 | 66 | |
| 2 | Curcumin inhibits cell growth and invasion and induces apoptosis through down-regulation of Skp2 in pancreatic cancer cells. | 2016 | 51 |
| 3 | 2016 | 51 | |
| 4 | 2017 | 47 | |
| 5 | 2016 | 35 | |
| 6 | Rottlerin exhibits anti-cancer effect through inactivation of S phase kinase-associated protein 2 in pancreatic cancer cells. | 2016 | 33 |
| 7 | 2016 | 26 | |
| 8 | 2017 | 25 | |
| 9 | 2015 | 24 | |
| 10 | 2023 | 20 | |
| 11 | 2024 | 13 | |
| 12 | 2017 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2015 | 7 | |
| 15 | 2025 | 4 | |
| 16 | K-ras-driven engineered mouse models for pancreatic cancer. | 2015 | 4 |
| 17 | 2021 | 1 | |
| 18 | 2024 | 0 |
About Jingna Su
Jingna Su is a scholar working on Molecular Biology, Cell Biology, Pathology and Forensic Medicine, Molecular Medicine and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 423 indexed citations. Recurring topics across this work include Curcumin's Biomedical Applications (3 papers), Flame retardant materials and properties (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Mechanisms and Therapy (2 papers), Ubiquitin and proteasome pathways (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Molecular Medicine (69 citations), Cancer Research (84 citations), Molecular Biology (285 citations), Cell Biology (62 citations) and Oncology (85 citations). Jingna Su has collaborated with scholars based in China and United States. Frequent co-authors include Xuyuan Yin, Xiuxia Zhou, Zhiwei Wang, Lixia Wang, Xiantao Ye, Yingying Hou, Zhe Zhao, Nana Zheng, Jun Xia and Shaoyan Feng. Their work appears in journals such as Oncotarget, Applied Surface Science, Applied Materials Today, Cell Cycle and Current Pharmaceutical Design.
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.