Mawei Jiang
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Spectroscopy top 10%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
Papers in
- Genetics 4
- Glioma Diagnosis and Treatment 4
- Co-authors
- Kun Qian (5 shared papers)Lin Huang (4 shared papers)Haiyang Su (3 shared papers)Keke Li (4 shared papers)Deepanjali Dattatray Gurav (3 shared papers)Chandrababu Rejeeth (1 shared paper)Wei Lin Xu (1 shared paper)Ru Zhang (1 shared paper)
- Journals
- Advanced Materials (2 papers)Nature Communications (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Acta Neuropathologica Communications (1 paper)Advances in Radiation Oncology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Mawei Jiang
23 papers receiving 506 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 104
- Spectroscopy 74
- Molecular Biology 235
- Bioengineering 14
- Biomedical Engineering 105
Countries citing papers authored by Mawei Jiang
This map shows the geographic impact of Mawei Jiang'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 Mawei Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mawei Jiang more than expected).
Fields of papers citing papers by Mawei Jiang
This network shows the impact of papers produced by Mawei Jiang. 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 Mawei Jiang. The network helps show where Mawei Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mawei Jiang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 115 | |
| 2 | 2019 | 94 | |
| 3 | 2020 | 42 | |
| 4 | 2018 | 40 | |
| 5 | 2016 | 35 | |
| 6 | 2017 | 26 | |
| 7 | 2016 | 22 | |
| 8 | 2018 | 20 | |
| 9 | 2015 | 20 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 14 | |
| 12 | 2016 | 14 | |
| 13 | 2019 | 14 | |
| 14 | 2019 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2025 | 3 |
About Mawei Jiang
Mawei Jiang is a scholar working on Genetics, Cancer Research, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 511 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Mass Spectrometry Techniques and Applications (2 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers), DNA Repair Mechanisms (2 papers), Testicular diseases and treatments (2 papers), Cancer therapeutics and mechanisms (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (104 citations), Spectroscopy (74 citations), Molecular Biology (235 citations), Bioengineering (14 citations) and Biomedical Engineering (105 citations). Mawei Jiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kun Qian, Lin Huang, Haiyang Su, Keke Li, Deepanjali Dattatray Gurav, Chandrababu Rejeeth, Wei Lin Xu, Ru Zhang, Jingjing Wan and Xuejiao Shi. Their work appears in journals such as Advanced Materials, Nature Communications, International Journal of Radiation Oncology*Biology*Physics, Acta Neuropathologica Communications and Advances in Radiation 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.