Jun Meng
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Cell Adhesion Molecules Research
Papers in
-
- Circular RNAs in diseases 2
- Oncology 7
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Yanyan Yu (2 shared papers)Lu Liu (1 shared paper)Weiwei Weng (1 shared paper)Cong Tan (1 shared paper)Yunpu Wang (1 shared paper)Midie Xu (1 shared paper)Ming Huang (1 shared paper)Weiqi Sheng (1 shared paper)
- Journals
- Experimental Cell Research (2 papers)Blood (1 paper)Pain Medicine (1 paper)Stress and Health (1 paper)Drug Design Development and Therapy (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jun Meng
21 papers receiving 388 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 136
- Immunology and Allergy 29
- Oncology 115
- Molecular Biology 184
- Pulmonary and Respiratory Medicine 75
Countries citing papers authored by Jun Meng
This map shows the geographic impact of Jun 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 Jun Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Meng more than expected).
Fields of papers citing papers by Jun Meng
This network shows the impact of papers produced by Jun 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 Jun Meng. The network helps show where Jun Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 117 | |
| 2 | 2019 | 57 | |
| 3 | 2020 | 32 | |
| 4 | 2018 | 29 | |
| 5 | 2019 | 20 | |
| 6 | CDC20: a novel therapeutic target in cancer. | 2023 | 20 |
| 7 | 2021 | 20 | |
| 8 | 2012 | 19 | |
| 9 | 2013 | 16 | |
| 10 | 2018 | 12 | |
| 11 | 2014 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 3 | |
| 17 | [Correlation of lower urinary tract symptoms with erectile dysfunction in men aged 50 years and above]. | 2008 | 3 |
| 18 | 2020 | 2 | |
| 19 | Serum proteomic spectra of esophageal carcinoma patients and a corresponding esophagial carcinoma diagnostic model. | 2009 | 1 |
| 20 | 2022 | 1 |
About Jun Meng
Jun Meng is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 23 papers that have together received 392 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (2 papers), Spine and Intervertebral Disc Pathology (2 papers), MicroRNA in disease regulation (2 papers), Spinal Hematomas and Complications (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Restless Legs Syndrome Research (1 paper). The work is most often cited by research in Cancer Research (136 citations), Immunology and Allergy (29 citations), Oncology (115 citations), Molecular Biology (184 citations) and Pulmonary and Respiratory Medicine (75 citations). Jun Meng has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yanyan Yu, Lu Liu, Weiwei Weng, Cong Tan, Yunpu Wang, Midie Xu, Ming Huang, Weiqi Sheng, Lu Gan and Yongping Liu. Their work appears in journals such as Experimental Cell Research, Blood, Pain Medicine, Stress and Health and Drug Design Development and Therapy.
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.