Chen Ni
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Internal Medicine top 10%
Papers in
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- MicroRNA in disease regulation 11
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- Angiogenesis and VEGF in Cancer 16
- TGF-β signaling in diseases 4
- Co-authors
- Jianbo Wu (28 shared papers)Mao Luo (26 shared papers)Qiao Zhou (11 shared papers)Xueqin Chen (12 shared papers)Zhihai Qin (26 shared papers)Meiping Ren (12 shared papers)Jing Gong (5 shared papers)Hao Zeng (7 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (4 papers)The Journal of Pathology (3 papers)The Prostate (3 papers)BMC Cancer (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chen Ni
83 papers receiving 2.2k citations
Chen Ni's Hit Papers
Peers
Comparison fields: 5 of 95
- Cancer Research 540
- Internal Medicine 49
- Oncology 257
- Molecular Biology 693
- Rehabilitation 69
Countries citing papers authored by Chen Ni
This map shows the geographic impact of Chen Ni'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 Chen Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Ni more than expected).
Fields of papers citing papers by Chen Ni
This network shows the impact of papers produced by Chen Ni. 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 Chen Ni. The network helps show where Chen Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Ni, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 157 | |
| 2 | 2017 | 134 | |
| 3 | 2014 | 91 | |
| 4 | 2014 | 89 | |
| 5 | 2015 | 82 | |
| 6 | 2023 | 78 | |
| 7 | 2014 | 68 | |
| 8 | 2017 | 65 | |
| 9 | 2023 | 64 | |
| 10 | 2022 | 63 | |
| 11 | 2015 | 60 | |
| 12 | 2014 | 53 | |
| 13 | 2019 | 53 | |
| 14 | 2023 | 50 | |
| 15 | 2018 | 49 | |
| 16 | 2017 | 43 | |
| 17 | 2012 | 42 | |
| 18 | 2014 | 40 | |
| 19 | 2015 | 40 | |
| 20 | 2020 | 37 |
About Chen Ni
Chen Ni is a scholar working on Cancer Research, Molecular Biology, Oncology, Hematology and Clinical Biochemistry, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (16 papers), MicroRNA in disease regulation (11 papers), Cancer Cells and Metastasis (5 papers), TGF-β signaling in diseases (4 papers), Advanced Glycation End Products research (4 papers), Platelet Disorders and Treatments (4 papers), Barrier Structure and Function Studies (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Cancer Research (540 citations), Internal Medicine (49 citations), Oncology (257 citations), Molecular Biology (693 citations) and Rehabilitation (69 citations). Chen Ni has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianbo Wu, Mao Luo, Qiao Zhou, Xueqin Chen, Zhihai Qin, Meiping Ren, Jing Gong, Hao Zeng, Miao Xu and Xin Deng. Their work appears in journals such as Journal of Cellular and Molecular Medicine, The Journal of Pathology, The Prostate, BMC Cancer and International Journal of Molecular Sciences.
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.