Manlong Qi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- Circular RNAs in diseases 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Xiang Fei (5 shared papers)Kefeng Wang (3 shared papers)Jun Yang (2 shared papers)Xia Wang (2 shared papers)Yueping Wang (3 shared papers)Tingting Li (3 shared papers)Yongsheng Song (1 shared paper)Bin Wu (1 shared paper)
- Journals
- Gene (2 papers)FEBS Letters (2 papers)Cell Death and Disease (1 paper)International Journal of Molecular Medicine (1 paper)Molecular Cytogenetics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Manlong Qi
14 papers receiving 509 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 321
- Molecular Biology 379
- Immunology 69
- Oncology 69
- Epidemiology 76
Countries citing papers authored by Manlong Qi
This map shows the geographic impact of Manlong Qi'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 Manlong Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manlong Qi more than expected).
Fields of papers citing papers by Manlong Qi
This network shows the impact of papers produced by Manlong Qi. 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 Manlong Qi. The network helps show where Manlong Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Manlong Qi, 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 | 2012 | 133 | |
| 2 | 2021 | 97 | |
| 3 | 2021 | 58 | |
| 4 | 2022 | 50 | |
| 5 | 2021 | 41 | |
| 6 | 2013 | 41 | |
| 7 | 2013 | 31 | |
| 8 | 2017 | 26 | |
| 9 | 2012 | 17 | |
| 10 | 2020 | 8 | |
| 11 | 2013 | 5 | |
| 12 | 2011 | 4 | |
| 13 | [Association of -63A/C polymorphism of glutathione S-transferase M3 gene with essential hypertension in Chinese population]. | 2007 | 2 |
| 14 | 2011 | 1 | |
| 15 | 2024 | 0 |
About Manlong Qi
Manlong Qi is a scholar working on Molecular Biology, Cancer Research, Genetics, Plant Science and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 514 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), Chromosomal and Genetic Variations (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Prenatal Screening and Diagnostics (2 papers), Circular RNAs in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Cancer Research (321 citations), Molecular Biology (379 citations), Immunology (69 citations), Oncology (69 citations) and Epidemiology (76 citations). Manlong Qi has collaborated with scholars based in China and United States. Frequent co-authors include Xiang Fei, Kefeng Wang, Jun Yang, Xia Wang, Yueping Wang, Tingting Li, Yongsheng Song, Bin Wu, Junli Xue and Xia Wang. Their work appears in journals such as Gene, FEBS Letters, Cell Death and Disease, International Journal of Molecular Medicine and Molecular Cytogenetics.
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.