Wang Ma
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
Papers in
-
- Cancer-related molecular mechanisms research 7
- Cancer, Hypoxia, and Metabolism 5
- Oncology 14
- Co-authors
- Xiaolong Qi (3 shared papers)Junhua Xiao (1 shared paper)Nan Wu (1 shared paper)Xiang Wang (1 shared paper)Dahong Zhang (1 shared paper)Honggang Cui (4 shared papers)Andrew G. Cheetham (3 shared papers)Rami W. Chakroun (1 shared paper)
- Journals
- Oncotarget (7 papers)Frontiers in Oncology (6 papers)ACS Nano (2 papers)Nano Today (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wang Ma
73 papers receiving 3.4k citations
Wang Ma's Hit Papers
Peers
Comparison fields: 5 of 126
- Cancer Research 997
- Biomaterials 488
- Molecular Biology 1.6k
- Oncology 446
- Immunology 301
Countries citing papers authored by Wang Ma
This map shows the geographic impact of Wang 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 Wang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Ma more than expected).
Fields of papers citing papers by Wang Ma
This network shows the impact of papers produced by Wang 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 Wang Ma. The network helps show where Wang Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ceRNA in cancer: possible functions and clinical implications Hit paper breakdown → | 2015 | 1029 |
| 2 | 2017 | 338 | |
| 3 | 2019 | 170 | |
| 4 | 2020 | 152 | |
| 5 | 2016 | 131 | |
| 6 | 2016 | 118 | |
| 7 | 2020 | 110 | |
| 8 | 2017 | 103 | |
| 9 | 2013 | 84 | |
| 10 | 2016 | 78 | |
| 11 | 2018 | 71 | |
| 12 | 2017 | 57 | |
| 13 | 2021 | 50 | |
| 14 | 2014 | 49 | |
| 15 | 2021 | 49 | |
| 16 | 2020 | 44 | |
| 17 | 2020 | 41 | |
| 18 | 2022 | 40 | |
| 19 | 2019 | 40 | |
| 20 | 2020 | 39 |
About Wang Ma
Wang Ma is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Immunology, having authored 76 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Nanoplatforms for cancer theranostics (5 papers), Advanced Nanomaterials in Catalysis (5 papers), RNA modifications and cancer (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Nanocluster Synthesis and Applications (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Cancer Research (997 citations), Biomaterials (488 citations), Molecular Biology (1.6k citations), Oncology (446 citations) and Immunology (301 citations). Wang Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaolong Qi, Junhua Xiao, Nan Wu, Xiang Wang, Dahong Zhang, Honggang Cui, Andrew G. Cheetham, Rami W. Chakroun, Shuiling Jin and Bingjie Li. Their work appears in journals such as Oncotarget, Frontiers in Oncology, ACS Nano, Nano Today and International Journal of 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.