Ya Meng
Impact in
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Pluripotent Stem Cells Research 8
- CRISPR and Genetic Engineering 3
- Developmental Biology and Gene Regulation 1
- Epigenetics and DNA Methylation 1
- Surgery 6
- Pancreatic function and diabetes 4
- Co-authors
- Guokai Chen (8 shared papers)Weiwei Liu (8 shared papers)Ligong Lu (3 shared papers)Chengcheng Song (4 shared papers)Meifen Zhang (6 shared papers)James A. Thomson (1 shared paper)Vivien Ya‐Fan Wang (1 shared paper)Xiaoxiao Zhou (1 shared paper)
- Journals
- Cell Reports (2 papers)International Journal of Biological Sciences (2 papers)Stem Cell Reports (2 papers)Journal of Clinical Oncology (1 paper)Journal of Hematology & Oncology (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Ya Meng
21 papers receiving 364 citations
Peers
Comparison fields: 5 of 81
- Geriatrics and Gerontology 14
- Oncology 84
- Molecular Biology 143
- Immunology 40
- Genetics 16
Countries citing papers authored by Ya Meng
This map shows the geographic impact of Ya 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 Ya Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Meng more than expected).
Fields of papers citing papers by Ya Meng
This network shows the impact of papers produced by Ya 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 Ya Meng. The network helps show where Ya Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 76 | |
| 2 | 2018 | 68 | |
| 3 | 2019 | 42 | |
| 4 | 2022 | 27 | |
| 5 | 2020 | 22 | |
| 6 | 2019 | 19 | |
| 7 | 2021 | 15 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 2 |
About Ya Meng
Ya Meng is a scholar working on Molecular Biology, Surgery, Oncology, Public Health, Environmental and Occupational Health and Occupational Therapy, having authored 21 papers that have together received 368 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Pancreatic function and diabetes (4 papers), CRISPR and Genetic Engineering (3 papers), Reproductive Biology and Fertility (2 papers), CAR-T cell therapy research (2 papers), Developmental Biology and Gene Regulation (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Geriatrics and Gerontology (14 citations), Oncology (84 citations), Molecular Biology (143 citations), Immunology (40 citations) and Genetics (16 citations). Ya Meng has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Guokai Chen, Weiwei Liu, Ligong Lu, Chengcheng Song, Meifen Zhang, James A. Thomson, Vivien Ya‐Fan Wang, Xiaoxiao Zhou, Xiaoyu Wu and Qianqian Du. Their work appears in journals such as Cell Reports, International Journal of Biological Sciences, Stem Cell Reports, Journal of Clinical Oncology and Journal of Hematology & 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.