Ji Ma
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Metabolism, Diabetes, and Cancer
Papers in
-
- Circular RNAs in diseases 8
- RNA modifications and cancer 7
- RNA Research and Splicing 3
- RNA Interference and Gene Delivery 3
- Cancer-related gene regulation 3
-
- Cancer-related molecular mechanisms research 13
- MicroRNA in disease regulation 8
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Tengfei Li (6 shared papers)Yan Lei (7 shared papers)Xinwei Han (2 shared papers)Shaofeng Shui (7 shared papers)Huifeng Yuan (3 shared papers)Xinwei Han (8 shared papers)Dong Guo (4 shared papers)Zhiguo Li (1 shared paper)
- Journals
- Cancer (1 paper)Scientific Reports (1 paper)Journal of Cancer (1 paper)Chemistry of Materials (1 paper)Ceramics International (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ji Ma
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 481
- Molecular Biology 673
- Neurology 71
- Clinical Biochemistry 25
- Epidemiology 120
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 152 | |
| 2 | 2017 | 98 | |
| 3 | 2019 | 62 | |
| 4 | 2014 | 54 | |
| 5 | 2018 | 44 | |
| 6 | 2019 | 43 | |
| 7 | 2019 | 43 | |
| 8 | 2014 | 34 | |
| 9 | 2019 | 32 | |
| 10 | 2019 | 31 | |
| 11 | 2017 | 31 | |
| 12 | 2018 | 26 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2017 | 24 | |
| 16 | 2018 | 24 | |
| 17 | 2018 | 23 | |
| 18 | 2004 | 22 | |
| 19 | 2012 | 18 | |
| 20 | 2012 | 17 |
About Ji Ma
Ji Ma is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (7 papers), Cancer, Hypoxia, and Metabolism (4 papers), RNA Research and Splicing (3 papers), RNA Interference and Gene Delivery (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cancer Research (481 citations), Molecular Biology (673 citations), Neurology (71 citations), Clinical Biochemistry (25 citations) and Epidemiology (120 citations). Ji Ma has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Tengfei Li, Yan Lei, Xinwei Han, Shaofeng Shui, Huifeng Yuan, Xinwei Han, Dong Guo, Zhiguo Li, Dong Guo and Teng‐Fei Li. Their work appears in journals such as Cancer, Scientific Reports, Journal of Cancer, Chemistry of Materials and Ceramics International.
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.