Guofeng Meng
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Bioinformatics and Genomic Networks 7
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 3
- Gene expression and cancer classification 3
- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 2
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- Alzheimer's disease research and treatments 2
- Co-authors
- Hongkang Mei (4 shared papers)Axel Mosig (2 shared papers)Bärbel M. R. Stadler (1 shared paper)Peter F. Stadler (1 shared paper)Sai Tian (2 shared papers)Weidong Zhang (1 shared paper)Martin Vingron (3 shared papers)Xiaoyan Zhong (1 shared paper)
- Journals
- Bioinformatics (2 papers)European Heart Journal (2 papers)Theory in Biosciences (1 paper)Frontiers in Aging Neuroscience (1 paper)Phytotherapy Research (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Guofeng Meng
24 papers receiving 374 citations
Peers
Comparison fields: 5 of 86
- Aging 8
- Cancer Research 63
- Neurology 31
- Molecular Biology 247
- Hematology 23
Countries citing papers authored by Guofeng Meng
This map shows the geographic impact of Guofeng 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 Guofeng Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guofeng Meng more than expected).
Fields of papers citing papers by Guofeng Meng
This network shows the impact of papers produced by Guofeng 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 Guofeng Meng. The network helps show where Guofeng Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Guofeng 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 55 | |
| 2 | 2022 | 50 | |
| 3 | 2016 | 30 | |
| 4 | 2019 | 29 | |
| 5 | 2018 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2016 | 24 | |
| 8 | 2014 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2021 | 15 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2010 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2014 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2017 | 3 |
About Guofeng Meng
Guofeng Meng is a scholar working on Molecular Biology, Physiology, Immunology, Cancer Research and Nephrology, having authored 24 papers that have together received 377 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), Pluripotent Stem Cells Research (3 papers), Gene expression and cancer classification (3 papers), Alzheimer's disease research and treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (8 citations), Cancer Research (63 citations), Neurology (31 citations), Molecular Biology (247 citations) and Hematology (23 citations). Guofeng Meng has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hongkang Mei, Axel Mosig, Bärbel M. R. Stadler, Peter F. Stadler, Sai Tian, Weidong Zhang, Martin Vingron, Xiaoyan Zhong, Yifan Chen and Jun Pu. Their work appears in journals such as Bioinformatics, European Heart Journal, Theory in Biosciences, Frontiers in Aging Neuroscience and Phytotherapy Research.
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.