Sha Ma
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Circular RNAs in diseases 5
- RNA and protein synthesis mechanisms 5
- Oncology 10
- CAR-T cell therapy research 5
- Co-authors
- Toshiyuki Obata (1 shared paper)Jarmo Laine (1 shared paper)Gerald Künstle (1 shared paper)Masayuki Noguchi (1 shared paper)Song Jin (6 shared papers)Jun Lin (5 shared papers)Lingqiang Chen (4 shared papers)Hong Zhang (4 shared papers)
- Journals
- BMC Public Health (4 papers)International Immunopharmacology (3 papers)RNA (2 papers)Journal of Biological Chemistry (2 papers)International Journal of Pharmaceutics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sha Ma
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 139
- Cancer Research 157
- Genetics 96
- Immunology 171
- Molecular Biology 536
- Rheumatology 105
Countries citing papers authored by Sha Ma
This map shows the geographic impact of Sha 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 Sha Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Ma more than expected).
Fields of papers citing papers by Sha Ma
This network shows the impact of papers produced by Sha 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 Sha Ma. The network helps show where Sha Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 267 | |
| 2 | 2018 | 107 | |
| 3 | 2017 | 103 | |
| 4 | 2017 | 71 | |
| 5 | Aberrant expression of the myeloid zinc finger gene, MZF-1, is oncogenic. | 1995 | 58 |
| 6 | 1995 | 33 | |
| 7 | 2019 | 32 | |
| 8 | 2016 | 30 | |
| 9 | 2018 | 29 | |
| 10 | 2010 | 29 | |
| 11 | 2001 | 29 | |
| 12 | 2015 | 26 | |
| 13 | 1997 | 23 | |
| 14 | 2017 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 1995 | 20 | |
| 17 | 2022 | 19 | |
| 18 | 2013 | 19 | |
| 19 | 2021 | 15 | |
| 20 | 2016 | 15 |
About Sha Ma
Sha Ma is a scholar working on Molecular Biology, Oncology, Cancer Research, Rheumatology and Genetics, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), CAR-T cell therapy research (5 papers), RNA and protein synthesis mechanisms (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Cancer-related molecular mechanisms research (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Cancer Research (157 citations), Genetics (96 citations), Immunology (171 citations), Molecular Biology (536 citations) and Rheumatology (105 citations). Sha Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Toshiyuki Obata, Jarmo Laine, Gerald Künstle, Masayuki Noguchi, Song Jin, Jun Lin, Lingqiang Chen, Hong Zhang, Minmin Jiang and Xudong Zhou. Their work appears in journals such as BMC Public Health, International Immunopharmacology, RNA, Journal of Biological Chemistry and International Journal of Pharmaceutics.
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.