Yiling Meng
Impact in
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- Cancer Genomics and Diagnostics
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- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
Papers in
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- DNA Repair Mechanisms 3
- RNA modifications and cancer 2
- Machine Learning in Bioinformatics 1
- Oncology 6
- Cancer-related Molecular Pathways 3
- Co-authors
- Meichao Zhang (9 shared papers)Lei Bian (6 shared papers)Dong Li (4 shared papers)Jian Wu (2 shared papers)Hongcui Cao (2 shared papers)Lanjuan Li (2 shared papers)Jiong Yu (2 shared papers)Dong Li (1 shared paper)
- Journals
- International Journal of Biological Sciences (2 papers)ACS Applied Materials & Interfaces (2 papers)Epigenomics (2 papers)Journal of Viral Hepatitis (2 papers)Cell Death Discovery (1 paper)
- Partner nations
- ChinaSwedenSouth Korea
In The Last Decade
Yiling Meng
17 papers receiving 377 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 66
- Oncology 119
- Molecular Biology 223
- Infectious Diseases 41
- Otorhinolaryngology 9
Countries citing papers authored by Yiling Meng
This map shows the geographic impact of Yiling Meng'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 Yiling Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiling Meng more than expected).
Fields of papers citing papers by Yiling Meng
This network shows the impact of papers produced by Yiling Meng. 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 Yiling Meng. The network helps show where Yiling Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiling Meng, 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 | 2019 | 176 | |
| 2 | 2020 | 35 | |
| 3 | 2020 | 35 | |
| 4 | 2020 | 28 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 18 | |
| 7 | 2020 | 17 | |
| 8 | 2023 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 0 | |
| 19 | 2021 | 0 |
About Yiling Meng
Yiling Meng is a scholar working on Molecular Biology, Oncology, Immunology, Biomedical Engineering and Cancer Research, having authored 19 papers that have together received 381 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), DNA Repair Mechanisms (3 papers), Immunotherapy and Immune Responses (3 papers), Nanoplatforms for cancer theranostics (2 papers), Ferroptosis and cancer prognosis (2 papers), RNA modifications and cancer (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (66 citations), Oncology (119 citations), Molecular Biology (223 citations), Infectious Diseases (41 citations) and Otorhinolaryngology (9 citations). Yiling Meng has collaborated with scholars based in China, Sweden and South Korea. Frequent co-authors include Meichao Zhang, Lei Bian, Dong Li, Jian Wu, Hongcui Cao, Lanjuan Li, Jiong Yu, Dong Li, Yuxuan Su and Guo Zhu-ying. Their work appears in journals such as International Journal of Biological Sciences, ACS Applied Materials & Interfaces, Epigenomics, Journal of Viral Hepatitis and Cell Death Discovery.
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.