Ni Yang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Plant Gene Expression Analysis 4
- Circular RNAs in diseases 4
- Inflammasome and immune disorders 3
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 5
- Co-authors
- Tie‐Ning Zhang (28 shared papers)Ri Wen (23 shared papers)Chunfeng Liu (25 shared papers)Jing Xia (4 shared papers)Da Li (4 shared papers)Zhengliang Zhang (3 shared papers)Liying Zhang (2 shared papers)Wei Wang (2 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (3 papers)Pharmacological Research (2 papers)BMC Plant Biology (1 paper)Phytomedicine (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ni Yang
50 papers receiving 826 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 265
- Geriatrics and Gerontology 31
- Molecular Biology 400
- Biological Psychiatry 12
- Critical Care and Intensive Care Medicine 19
Countries citing papers authored by Ni Yang
This map shows the geographic impact of Ni Yang'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 Ni Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ni Yang more than expected).
Fields of papers citing papers by Ni Yang
This network shows the impact of papers produced by Ni Yang. 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 Ni Yang. The network helps show where Ni Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ni Yang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 70 | |
| 2 | 2017 | 63 | |
| 3 | 2023 | 58 | |
| 4 | 2019 | 56 | |
| 5 | 2024 | 41 | |
| 6 | 2019 | 40 | |
| 7 | 2023 | 35 | |
| 8 | 2021 | 33 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 30 | |
| 11 | 2020 | 28 | |
| 12 | 2024 | 27 | |
| 13 | 2019 | 27 | |
| 14 | 1996 | 23 | |
| 15 | 2021 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2022 | 17 | |
| 18 | 2022 | 17 | |
| 19 | 2018 | 16 | |
| 20 | 2021 | 14 |
About Ni Yang
Ni Yang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Pathology and Forensic Medicine, having authored 52 papers that have together received 835 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Sepsis Diagnosis and Treatment (5 papers), MicroRNA in disease regulation (5 papers), Plant Molecular Biology Research (4 papers), Autophagy in Disease and Therapy (4 papers), Plant Gene Expression Analysis (4 papers), Circular RNAs in diseases (4 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Cancer Research (265 citations), Geriatrics and Gerontology (31 citations), Molecular Biology (400 citations), Biological Psychiatry (12 citations) and Critical Care and Intensive Care Medicine (19 citations). Ni Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Tie‐Ning Zhang, Ri Wen, Chunfeng Liu, Jing Xia, Da Li, Zhengliang Zhang, Liying Zhang, Wei Wang, Qi‐Jun Wu and Li Zhao. Their work appears in journals such as Biomedicine & Pharmacotherapy, Pharmacological Research, BMC Plant Biology, Phytomedicine and Oncotarget.
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.