Qingfeng Meng
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- interferon and immune responses
Papers in
-
- Extracellular vesicles in disease 2
- Machine Learning in Bioinformatics 2
- vaccines and immunoinformatics approaches 2
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- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Sheng‐ce Tao (6 shared papers)He‐wei Jiang (6 shared papers)Huan Qi (5 shared papers)Hong Chen (2 shared papers)Yang Li (2 shared papers)Jing Zhang (1 shared paper)Ze‐Guang Han (1 shared paper)Pei‐Hui Wang (1 shared paper)
- Journals
- Cellular and Molecular Immunology (3 papers)Frontiers in Plant Science (2 papers)Data in Brief (2 papers)Acta Biochimica et Biophysica Sinica (2 papers)Reproduction Fertility and Development (1 paper)
- Partner nations
- ChinaSouth KoreaGermany
In The Last Decade
Qingfeng Meng
19 papers receiving 673 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 311
- Immunology 133
- Animal Science and Zoology 49
- Molecular Biology 312
- Cancer Research 52
Countries citing papers authored by Qingfeng Meng
This map shows the geographic impact of Qingfeng 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 Qingfeng Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfeng Meng more than expected).
Fields of papers citing papers by Qingfeng Meng
This network shows the impact of papers produced by Qingfeng 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 Qingfeng Meng. The network helps show where Qingfeng Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfeng 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 | 2020 | 260 | |
| 2 | 2020 | 102 | |
| 3 | Epigenetic transfer of metastatic activity by uptake of highly metastatic B16 melanoma cell-released exosomes. | 2006 | 85 |
| 4 | 2019 | 48 | |
| 5 | 2020 | 38 | |
| 6 | 2018 | 29 | |
| 7 | 2018 | 24 | |
| 8 | 2021 | 20 | |
| 9 | 2018 | 14 | |
| 10 | 2021 | 11 | |
| 11 | 2024 | 8 | |
| 12 | ANLN functions as a key candidate gene in cervical cancer as determined by integrated bioinformatic analysis | 2018 | 7 |
| 13 | 2012 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2007 | 1 | |
| 20 | 2025 | 0 |
About Qingfeng Meng
Qingfeng Meng is a scholar working on Molecular Biology, Infectious Diseases, Plant Science, Radiology, Nuclear Medicine and Imaging and Animal Science and Zoology, having authored 20 papers that have together received 680 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Plant nutrient uptake and metabolism (2 papers), Extracellular vesicles in disease (2 papers), Soybean genetics and cultivation (2 papers), Machine Learning in Bioinformatics (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Infectious Diseases (311 citations), Immunology (133 citations), Animal Science and Zoology (49 citations), Molecular Biology (312 citations) and Cancer Research (52 citations). Qingfeng Meng has collaborated with scholars based in China, South Korea and Germany. Frequent co-authors include Sheng‐ce Tao, He‐wei Jiang, Huan Qi, Hong Chen, Yang Li, Jing Zhang, Ze‐Guang Han, Pei‐Hui Wang, Sun Tae Kim and Ravi Gupta. Their work appears in journals such as Cellular and Molecular Immunology, Frontiers in Plant Science, Data in Brief, Acta Biochimica et Biophysica Sinica and Reproduction Fertility and Development.
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.