De-Ning Ma
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Kruppel-like factors research 2
- Epigenetics and DNA Methylation 2
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Xiao‐Dong Zhu (10 shared papers)Hui‐Chuan Sun (10 shared papers)Zong‐Tao Chai (10 shared papers)Hao Cai (6 shared papers)Dongmei Gao (8 shared papers)Chengdong Qin (9 shared papers)Zhao–You Tang (9 shared papers)Bo‐Gen Ye (5 shared papers)
- Journals
- Journal of Hematology & Oncology (4 papers)PLoS ONE (2 papers)Journal of Cancer (2 papers)Oncology Reports (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaEthiopiaSaudi Arabia
In The Last Decade
De-Ning Ma
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Cancer Research 330
- Hepatology 93
- Immunology 208
- Molecular Biology 475
- Oncology 172
Countries citing papers authored by De-Ning Ma
This map shows the geographic impact of De-Ning 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 De-Ning Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De-Ning Ma more than expected).
Fields of papers citing papers by De-Ning Ma
This network shows the impact of papers produced by De-Ning 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 De-Ning Ma. The network helps show where De-Ning Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside De-Ning 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 179 | |
| 2 | 2017 | 157 | |
| 3 | 2016 | 102 | |
| 4 | 2015 | 74 | |
| 5 | 2014 | 57 | |
| 6 | 2020 | 55 | |
| 7 | 2019 | 47 | |
| 8 | 2016 | 45 | |
| 9 | 2017 | 44 | |
| 10 | 2023 | 41 | |
| 11 | 2017 | 34 | |
| 12 | 2017 | 29 | |
| 13 | Flot2 promotes tumor growth and metastasis through modulating cell cycle and inducing epithelial-mesenchymal transition of hepatocellular carcinoma. | 2017 | 29 |
| 14 | 2020 | 23 | |
| 15 | 2018 | 21 | |
| 16 | 2020 | 19 | |
| 17 | 2018 | 17 | |
| 18 | 2016 | 15 | |
| 19 | 2016 | 15 | |
| 20 | 2025 | 12 |
About De-Ning Ma
De-Ning Ma is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Cell Biology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Cancer-related molecular mechanisms research (4 papers), Colorectal Cancer Surgical Treatments (3 papers), Kruppel-like factors research (2 papers), Cancer Cells and Metastasis (2 papers), Epigenetics and DNA Methylation (2 papers), Caveolin-1 and cellular processes (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (330 citations), Hepatology (93 citations), Immunology (208 citations), Molecular Biology (475 citations) and Oncology (172 citations). De-Ning Ma has collaborated with scholars based in China, Ethiopia and Saudi Arabia. Frequent co-authors include Xiao‐Dong Zhu, Hui‐Chuan Sun, Zong‐Tao Chai, Hao Cai, Dongmei Gao, Chengdong Qin, Zhao–You Tang, Bo‐Gen Ye, Jian‐Yang Ao and Chenghao Wang. Their work appears in journals such as Journal of Hematology & Oncology, PLoS ONE, Journal of Cancer, Oncology Reports and Cell Death and Disease.
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.