Ning‐Fang Ma
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Toxicology top 2%
- Bioactive Compounds and Antitumor Agents
Papers in
-
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 4
- RNA modifications and cancer 3
- Pluripotent Stem Cells Research 2
- Oncology 7
- Cancer Cells and Metastasis 3
- Co-authors
- Xin‐Yuan Guan (14 shared papers)Dan Xie (7 shared papers)Jiewei Chen (3 shared papers)Rixin Chen (2 shared papers)Kai Han (2 shared papers)Olivier Déas (1 shared paper)Xiaodan Ma (1 shared paper)Feng Wang (1 shared paper)
- Journals
- Hepatology (3 papers)Nature Communications (2 papers)Cell Death and Disease (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Gene (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ning‐Fang Ma
28 papers receiving 1.5k citations
Ning‐Fang Ma's Hit Papers
Peers
Comparison fields: 5 of 91
- Cancer Research 506
- Toxicology 83
- Molecular Biology 1.0k
- Oncology 286
- Hepatology 41
Countries citing papers authored by Ning‐Fang Ma
This map shows the geographic impact of Ning‐Fang Ma'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 Ning‐Fang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning‐Fang Ma more than expected).
Fields of papers citing papers by Ning‐Fang Ma
This network shows the impact of papers produced by Ning‐Fang Ma. 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 Ning‐Fang Ma. The network helps show where Ning‐Fang Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning‐Fang Ma, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | N6-methyladenosine modification of circNSUN2 facilitates cytoplasmic export and stabilizes HMGA2 to promote colorectal liver metastasis Hit paper breakdown → | 2019 | 548 |
| 2 | 2008 | 139 | |
| 3 | 2009 | 135 | |
| 4 | 2005 | 131 | |
| 5 | 2007 | 125 | |
| 6 | 2010 | 110 | |
| 7 | 2021 | 58 | |
| 8 | 2017 | 55 | |
| 9 | 2016 | 26 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 19 | |
| 12 | 2009 | 17 | |
| 13 | 2018 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2017 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2022 | 7 | |
| 20 | 2021 | 7 |
About Ning‐Fang Ma
Ning‐Fang Ma is a scholar working on Molecular Biology, Oncology, Hepatology, Cancer Research and Epidemiology, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), RNA Research and Splicing (4 papers), Liver physiology and pathology (3 papers), Cancer Cells and Metastasis (3 papers), Autophagy in Disease and Therapy (3 papers), RNA modifications and cancer (3 papers), Cancer Genomics and Diagnostics (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Cancer Research (506 citations), Toxicology (83 citations), Molecular Biology (1.0k citations), Oncology (286 citations) and Hepatology (41 citations). Ning‐Fang Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin‐Yuan Guan, Dan Xie, Jiewei Chen, Rixin Chen, Kai Han, Olivier Déas, Xiaodan Ma, Feng Wang, Xin Chen and Jing‐Ping Yun. Their work appears in journals such as Hepatology, Nature Communications, Cell Death and Disease, PROTEOMICS - CLINICAL APPLICATIONS and Gene.
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.