Zining Jin
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
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- Breast Cancer Treatment Studies 4
- Cancer-related molecular mechanisms research 3
- Cancer, Lipids, and Metabolism 2
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- Ferroptosis and cancer prognosis 2
- Co-authors
- Feng Jin (7 shared papers)Bo Chen (5 shared papers)Miao He (2 shared papers)Guanglei Chen (3 shared papers)Ang Zheng (6 shared papers)Dongman Ye (1 shared paper)Yiqi Zhang (3 shared papers)Yan Wang (1 shared paper)
- Journals
- Oncotarget (3 papers)Frontiers in Oncology (2 papers)OncoTargets and Therapy (2 papers)Acta Biochimica et Biophysica Sinica (1 paper)Small (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Zining Jin
23 papers receiving 285 citations
Peers
Comparison fields: 5 of 49
- Cancer Research 101
- Oncology 60
- Molecular Biology 139
- Pulmonary and Respiratory Medicine 41
- Neurology 9
Countries citing papers authored by Zining Jin
This map shows the geographic impact of Zining Jin'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 Zining Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zining Jin more than expected).
Fields of papers citing papers by Zining Jin
This network shows the impact of papers produced by Zining Jin. 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 Zining Jin. The network helps show where Zining Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Zining Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 81 | |
| 2 | 2019 | 28 | |
| 3 | 2017 | 23 | |
| 4 | 2020 | 23 | |
| 5 | 2015 | 22 | |
| 6 | 2015 | 18 | |
| 7 | 2020 | 15 | |
| 8 | Interleukin enhancer binding factor 2 is a prognostic biomarker for breast cancer that also predicts neoadjuvant chemotherapy responses. | 2018 | 13 |
| 9 | 2024 | 11 | |
| 10 | 2025 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2017 | 7 | |
| 14 | 2011 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 1 |
About Zining Jin
Zining Jin is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Cell Biology and Molecular Biology, having authored 23 papers that have together received 293 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Advanced Nanomaterials in Catalysis (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Cells and Metastasis (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (101 citations), Oncology (60 citations), Molecular Biology (139 citations), Pulmonary and Respiratory Medicine (41 citations) and Neurology (9 citations). Zining Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Feng Jin, Bo Chen, Miao He, Guanglei Chen, Ang Zheng, Dongman Ye, Yiqi Zhang, Yan Wang, Yuanyuan Yan and Yanyun Zhao. Their work appears in journals such as Oncotarget, Frontiers in Oncology, OncoTargets and Therapy, Acta Biochimica et Biophysica Sinica and Small.
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.