Ji Ma
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
-
- Cancer Cells and Metastasis
Papers in
-
- Mechanisms of cancer metastasis 4
- Oncology 16
- Cancer Cells and Metastasis 5
- Co-authors
- Feng Bi (3 shared papers)Zhilong Chen (1 shared paper)Fang Zheng (1 shared paper)Yali Shen (1 shared paper)Tao Zhang (1 shared paper)Ying Liu (4 shared papers)Xin Wang (1 shared paper)Hui Ren (1 shared paper)
- Journals
- Biomedicine & Pharmacotherapy (4 papers)Scientific Reports (3 papers)Frontiers in Immunology (2 papers)British Journal of Cancer (2 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ji Ma
41 papers receiving 779 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 174
- Oncology 187
- Molecular Biology 456
- Drug Discovery 1
- Pulmonary and Respiratory Medicine 152
Countries citing papers authored by Ji Ma
This map shows the geographic impact of Ji 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 Ji Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Ma more than expected).
Fields of papers citing papers by Ji Ma
This network shows the impact of papers produced by Ji 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 Ji Ma. The network helps show where Ji Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 101 | |
| 2 | 2011 | 68 | |
| 3 | 2023 | 60 | |
| 4 | 2020 | 46 | |
| 5 | 2021 | 42 | |
| 6 | 2017 | 42 | |
| 7 | 2023 | 39 | |
| 8 | 2017 | 31 | |
| 9 | 2015 | 31 | |
| 10 | microRNA-22 attenuates neuronal cell apoptosis in a cell model of traumatic brain injury. | 2016 | 30 |
| 11 | 2023 | 28 | |
| 12 | 2017 | 25 | |
| 13 | 2018 | 24 | |
| 14 | 2014 | 24 | |
| 15 | NDRG2 expression regulates CD24 and metastatic potential of breast cancer cells. | 2010 | 17 |
| 16 | 2013 | 16 | |
| 17 | Knockdown of Nestin inhibits proliferation and migration of colorectal cancer cells. | 2015 | 15 |
| 18 | 2020 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2016 | 14 |
About Ji Ma
Ji Ma is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Cell Biology, having authored 45 papers that have together received 786 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Mechanisms of cancer metastasis (4 papers), Ferroptosis and cancer prognosis (4 papers), Cancer, Lipids, and Metabolism (3 papers), Lipid metabolism and biosynthesis (3 papers), Nuts composition and effects (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Malaria Research and Control (3 papers). The work is most often cited by research in Cancer Research (174 citations), Oncology (187 citations), Molecular Biology (456 citations), Drug Discovery (1 citation) and Pulmonary and Respiratory Medicine (152 citations). Ji Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Feng Bi, Zhilong Chen, Fang Zheng, Yali Shen, Tao Zhang, Ying Liu, Xin Wang, Hui Ren, Libo Yao and Yan Li. Their work appears in journals such as Biomedicine & Pharmacotherapy, Scientific Reports, Frontiers in Immunology, British Journal of Cancer and BMC Cancer.
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.