Mengran Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA Research and Splicing
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
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- RNA and protein synthesis mechanisms 2
- Epigenetics and DNA Methylation 1
- Muscle Physiology and Disorders 1
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- Immune cells in cancer 3
- Co-authors
- Ling‐Ling Chen (2 shared papers)Li Yang (2 shared papers)Shi-Bin Hu (1 shared paper)Yang Wang (1 shared paper)Run-Wen Yao (1 shared paper)Chu‐Xiao Liu (1 shared paper)Rui Dong (1 shared paper)Xu-Kai Ma (1 shared paper)
- Journals
- Genomics Proteomics & Bioinformatics (2 papers)Frontiers in Pharmacology (2 papers)Nature Communications (1 paper)ImmunoTargets and Therapy (1 paper)Journal of Dermatological Science (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Mengran Wang
14 papers receiving 381 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 145
- Molecular Biology 234
- Cell Biology 41
- Clinical Biochemistry 15
- Dermatology 17
Countries citing papers authored by Mengran Wang
This map shows the geographic impact of Mengran Wang'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 Mengran Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengran Wang more than expected).
Fields of papers citing papers by Mengran Wang
This network shows the impact of papers produced by Mengran Wang. 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 Mengran Wang. The network helps show where Mengran Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengran Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 144 | |
| 2 | 2019 | 80 | |
| 3 | 2015 | 51 | |
| 4 | 2020 | 41 | |
| 5 | 2014 | 17 | |
| 6 | 2020 | 15 | |
| 7 | 2024 | 9 | |
| 8 | 2025 | 8 | |
| 9 | 2024 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About Mengran Wang
Mengran Wang is a scholar working on Molecular Biology, Immunology, Cell Biology, Cancer Research and Surgery, having authored 15 papers that have together received 383 indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), Caveolin-1 and cellular processes (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA and protein synthesis mechanisms (2 papers), Ferroptosis and cancer prognosis (1 paper), Epigenetics and DNA Methylation (1 paper), Fatty Acid Research and Health (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Cancer Research (145 citations), Molecular Biology (234 citations), Cell Biology (41 citations), Clinical Biochemistry (15 citations) and Dermatology (17 citations). Mengran Wang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Ling‐Ling Chen, Li Yang, Shi-Bin Hu, Yang Wang, Run-Wen Yao, Chu‐Xiao Liu, Rui Dong, Xu-Kai Ma, Gordon Carmichael and Yongyan Dang. Their work appears in journals such as Genomics Proteomics & Bioinformatics, Frontiers in Pharmacology, Nature Communications, ImmunoTargets and Therapy and Journal of Dermatological Science.
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.