Jia Ma
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 9
- Ubiquitin and proteasome pathways 8
- Circular RNAs in diseases 4
-
- MicroRNA in disease regulation 14
- Cancer-related molecular mechanisms research 13
- Co-authors
- Jun Xia (18 shared papers)Jialei Hu (7 shared papers)Yue Pan (6 shared papers)Jia Li (8 shared papers)Yujia Shan (6 shared papers)Z. Peter Wang (9 shared papers)Fanpeng Zeng (8 shared papers)Long Cheng (5 shared papers)
- Journals
- Scientific Reports (5 papers)Cell Death Discovery (3 papers)Cell Death and Disease (3 papers)Current Drug Targets (3 papers)Annals of Oncology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jia Ma
70 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 864
- Molecular Biology 1.4k
- Molecular Medicine 68
- Oncology 331
- Geriatrics and Gerontology 38
Countries citing papers authored by Jia Ma
This map shows the geographic impact of Jia 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 Jia Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Ma more than expected).
Fields of papers citing papers by Jia Ma
This network shows the impact of papers produced by Jia 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 Jia Ma. The network helps show where Jia Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 174 | |
| 2 | 2020 | 154 | |
| 3 | 2018 | 114 | |
| 4 | 2014 | 109 | |
| 5 | 2012 | 105 | |
| 6 | 2013 | 93 | |
| 7 | 2015 | 88 | |
| 8 | 2014 | 63 | |
| 9 | 2016 | 62 | |
| 10 | 2019 | 55 | |
| 11 | 2018 | 48 | |
| 12 | 2018 | 46 | |
| 13 | 2017 | 46 | |
| 14 | 2018 | 45 | |
| 15 | 2015 | 45 | |
| 16 | 2019 | 41 | |
| 17 | 2021 | 40 | |
| 18 | 2018 | 39 | |
| 19 | 2020 | 39 | |
| 20 | 2017 | 38 |
About Jia Ma
Jia Ma is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (9 papers), Ubiquitin and proteasome pathways (8 papers), Cancer Cells and Metastasis (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Biochemical effects in animals (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (864 citations), Molecular Biology (1.4k citations), Molecular Medicine (68 citations), Oncology (331 citations) and Geriatrics and Gerontology (38 citations). Jia Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Xia, Jialei Hu, Yue Pan, Jia Li, Yujia Shan, Z. Peter Wang, Fanpeng Zeng, Long Cheng, Zhiwei Wang and Zhiwei Wang. Their work appears in journals such as Scientific Reports, Cell Death Discovery, Cell Death and Disease, Current Drug Targets and Annals of Oncology.
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.