Duo Guo
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Liver physiology and pathology
Papers in
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- RNA Research and Splicing 2
- Genetics 5
- Genetics and Neurodevelopmental Disorders 2
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Deshan Zhou (3 shared papers)Bo Wu (3 shared papers)Jihong Yan (3 shared papers)Xiaoshuang Li (1 shared paper)Haimei Sun (1 shared paper)Yasushi Matsuzawa (1 shared paper)Ruili Yin (1 shared paper)Shuxian Zhang (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Scientific Reports (1 paper)Frontiers in Veterinary Science (1 paper)Inflammation Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Duo Guo
23 papers receiving 358 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 118
- Hepatology 22
- Molecular Biology 196
- Pathology and Forensic Medicine 34
- Pharmacology 22
Countries citing papers authored by Duo Guo
This map shows the geographic impact of Duo Guo'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 Duo Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duo Guo more than expected).
Fields of papers citing papers by Duo Guo
This network shows the impact of papers produced by Duo Guo. 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 Duo Guo. The network helps show where Duo Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Duo Guo, 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 | 2015 | 61 | |
| 2 | 2012 | 47 | |
| 3 | 2016 | 43 | |
| 4 | 2013 | 34 | |
| 5 | 2020 | 28 | |
| 6 | 2016 | 26 | |
| 7 | 1996 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2008 | 15 | |
| 10 | 2022 | 13 | |
| 11 | 1986 | 11 | |
| 12 | 2006 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 1989 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2021 | 4 | |
| 17 | 2019 | 2 | |
| 18 | [Expression and significance of bcl-2, bax and ER in foci of adenomyosis]. | 2012 | 2 |
| 19 | 2022 | 2 | |
| 20 | Effects of Turtle Oil on Insulin Sensitivity and Glucose Metabolism in Insulin Resistant Cell Model | 2007 | 1 |
About Duo Guo
Duo Guo is a scholar working on Molecular Biology, Genetics, Cancer Research, Cellular and Molecular Neuroscience and Physiology, having authored 24 papers that have together received 361 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), MicroRNA in disease regulation (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Genetic and phenotypic traits in livestock (2 papers), RNA Research and Splicing (2 papers), Adipose Tissue and Metabolism (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cancer Research (118 citations), Hepatology (22 citations), Molecular Biology (196 citations), Pathology and Forensic Medicine (34 citations) and Pharmacology (22 citations). Duo Guo has collaborated with scholars based in China and United States. Frequent co-authors include Deshan Zhou, Bo Wu, Jihong Yan, Xiaoshuang Li, Haimei Sun, Yasushi Matsuzawa, Ruili Yin, Shuxian Zhang, Hai Gao and Xiuying Zhang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, Frontiers in Veterinary Science, Inflammation Research and PLoS ONE.
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.