Ningxia Sun
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
-
- Circular RNAs in diseases 6
- RNA modifications and cancer 3
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 5
- Co-authors
- Fu Yang (8 shared papers)Wen Li (9 shared papers)Yan Ma (5 shared papers)Zhongxin Jiang (4 shared papers)Wen Li (4 shared papers)Qing Zhang (3 shared papers)Yining Wang (2 shared papers)Chen Xu (3 shared papers)
- Journals
- Frontiers in Genetics (3 papers)Cell Death and Disease (2 papers)Tumor Biology (2 papers)Reproductive Biology and Endocrinology (2 papers)International Journal of Gynecology & Obstetrics (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Ningxia Sun
33 papers receiving 483 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 189
- Obstetrics and Gynecology 85
- Reproductive Medicine 80
- Aging 7
- Molecular Biology 261
Countries citing papers authored by Ningxia Sun
This map shows the geographic impact of Ningxia Sun'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 Ningxia Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningxia Sun more than expected).
Fields of papers citing papers by Ningxia Sun
This network shows the impact of papers produced by Ningxia Sun. 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 Ningxia Sun. The network helps show where Ningxia Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ningxia Sun, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2015 | 53 | |
| 3 | 2019 | 42 | |
| 4 | 2021 | 33 | |
| 5 | 2014 | 29 | |
| 6 | 2014 | 26 | |
| 7 | 2019 | 23 | |
| 8 | 2023 | 22 | |
| 9 | 2017 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 17 | |
| 12 | 2022 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2019 | 7 |
About Ningxia Sun
Ningxia Sun is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Reproductive Medicine and Obstetrics and Gynecology, having authored 34 papers that have together received 490 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers), Reproductive Biology and Fertility (5 papers), Ovarian function and disorders (4 papers), Pregnancy and preeclampsia studies (4 papers), Genetic Syndromes and Imprinting (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (189 citations), Obstetrics and Gynecology (85 citations), Reproductive Medicine (80 citations), Aging (7 citations) and Molecular Biology (261 citations). Ningxia Sun has collaborated with scholars based in China, United States and India. Frequent co-authors include Fu Yang, Wen Li, Yan Ma, Zhongxin Jiang, Wen Li, Qing Zhang, Yining Wang, Chen Xu, Shiguo Liu and Shuhan Sun. Their work appears in journals such as Frontiers in Genetics, Cell Death and Disease, Tumor Biology, Reproductive Biology and Endocrinology and International Journal of Gynecology & Obstetrics.
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.