Jinna Wu
Impact in
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- Spine and Intervertebral Disc Pathology
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 3
- Plant Toxicity and Pharmacological Properties 1
- Melanoma and MAPK Pathways 1
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Huanhuan Sun (4 shared papers)Shun Zhang (5 shared papers)Zhiheng Liao (5 shared papers)Taifeng Zhou (5 shared papers)Haiqing Ma (2 shared papers)Peiqiang Su (6 shared papers)Yan Yan (3 shared papers)Deying Su (4 shared papers)
- Journals
- Molecular Therapy (2 papers)World Neurosurgery (1 paper)Metals (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Lipids in Health and Disease (1 paper)
- Partner nations
- China
In The Last Decade
Jinna Wu
18 papers receiving 324 citations
Jinna Wu's Hit Papers
Peers
Comparison fields: 5 of 79
- Pathology and Forensic Medicine 70
- Cancer Research 57
- Rheumatology 47
- Reproductive Medicine 21
- Pharmacology 40
Countries citing papers authored by Jinna Wu
This map shows the geographic impact of Jinna Wu'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 Jinna Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinna Wu more than expected).
Fields of papers citing papers by Jinna Wu
This network shows the impact of papers produced by Jinna Wu. 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 Jinna Wu. The network helps show where Jinna Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinna Wu, 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 | Self-amplifying loop of NF-κB and periostin initiated by PIEZO1 accelerates mechano-induced senescence of nucleus pulposus cells and intervertebral disc degeneration Hit paper breakdown → | 2022 | 111 |
| 2 | 2018 | 47 | |
| 3 | 2018 | 38 | |
| 4 | Trends in incidence and survival in patients with melanoma, 1974-2013. | 2019 | 31 |
| 5 | 2023 | 18 | |
| 6 | 2019 | 16 | |
| 7 | 2022 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 |
About Jinna Wu
Jinna Wu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Physiology and Pathology and Forensic Medicine, having authored 18 papers that have together received 327 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Spine and Intervertebral Disc Pathology (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Cancer-related molecular mechanisms research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Plant Toxicity and Pharmacological Properties (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (70 citations), Cancer Research (57 citations), Rheumatology (47 citations), Reproductive Medicine (21 citations) and Pharmacology (40 citations). Jinna Wu has collaborated with scholars based in China. Frequent co-authors include Huanhuan Sun, Shun Zhang, Zhiheng Liao, Taifeng Zhou, Haiqing Ma, Peiqiang Su, Yan Yan, Deying Su, Yuyu Chen and Hengyu Liu. Their work appears in journals such as Molecular Therapy, World Neurosurgery, Metals, Frontiers in Cell and Developmental Biology and Lipids in Health and Disease.
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.