Beibei Ni
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
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- Gut microbiota and health
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
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- Gut microbiota and health 3
- Renal and related cancers 2
- RNA Interference and Gene Delivery 2
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- Immune Cell Function and Interaction 3
- Immune cells in cancer 3
- Co-authors
- Dianke Chen (4 shared papers)Zihuan Yang (3 shared papers)Fan Yang (8 shared papers)Lijie Pan (3 shared papers)Zixu Yuan (2 shared papers)Hong Sang (1 shared paper)Mingyu Xu (1 shared paper)Huiying Chen (1 shared paper)
- Journals
- Stem Cell Research & Therapy (4 papers)Biomaterials (2 papers)International Journal of Biological Sciences (2 papers)International Journal of Oncology (2 papers)Advanced Science (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Beibei Ni
32 papers receiving 793 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 168
- Molecular Biology 451
- Immunology 106
- Oncology 114
- Biological Psychiatry 8
Countries citing papers authored by Beibei Ni
This map shows the geographic impact of Beibei 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 Beibei Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Ni more than expected).
Fields of papers citing papers by Beibei Ni
This network shows the impact of papers produced by Beibei 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 Beibei Ni. The network helps show where Beibei Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 154 | |
| 2 | 2022 | 87 | |
| 3 | 2015 | 71 | |
| 4 | 2016 | 62 | |
| 5 | 2023 | 46 | |
| 6 | 2022 | 44 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 27 | |
| 9 | 2014 | 26 | |
| 10 | 2023 | 26 | |
| 11 | 2024 | 25 | |
| 12 | 2019 | 25 | |
| 13 | 2013 | 21 | |
| 14 | 2014 | 18 | |
| 15 | 2016 | 16 | |
| 16 | 2023 | 16 | |
| 17 | 2017 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2024 | 11 |
About Beibei Ni
Beibei Ni is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Oncology, having authored 35 papers that have together received 802 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Renal and related cancers (2 papers), RNA Interference and Gene Delivery (2 papers), Cancer Cells and Metastasis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cancer Research (168 citations), Molecular Biology (451 citations), Immunology (106 citations), Oncology (114 citations) and Biological Psychiatry (8 citations). Beibei Ni has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Dianke Chen, Zihuan Yang, Fan Yang, Lijie Pan, Zixu Yuan, Hong Sang, Mingyu Xu, Huiying Chen, Lan Zhao and Jingjing Li. Their work appears in journals such as Stem Cell Research & Therapy, Biomaterials, International Journal of Biological Sciences, International Journal of Oncology and Advanced Science.
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.