Dan Guo
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- Wnt/β-catenin signaling in development and cancer
Papers in
-
- Circular RNAs in diseases 11
- RNA modifications and cancer 10
- RNA Research and Splicing 7
- Cancer-related gene regulation 6
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- Cancer-related molecular mechanisms research 22
- MicroRNA in disease regulation 14
- Co-authors
- Yarui Li (15 shared papers)Shuixiang He (10 shared papers)Guifang Lu (6 shared papers)Mudan Ren (9 shared papers)Jiayi Huang (2 shared papers)Xinlan Lu (6 shared papers)Jianping Gong (1 shared paper)Yifei Chen (3 shared papers)
- Journals
- Scientific Reports (3 papers)Blood (2 papers)Journal of Translational Medicine (2 papers)BMC Gastroenterology (2 papers)Gene (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Dan Guo
89 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 811
- Molecular Biology 1.2k
- Urology 103
- Oncology 202
- Immunology 130
Countries citing papers authored by Dan Guo
This map shows the geographic impact of Dan 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 Dan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Guo more than expected).
Fields of papers citing papers by Dan Guo
This network shows the impact of papers produced by Dan 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 Dan Guo. The network helps show where Dan Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 214 | |
| 2 | 2018 | 109 | |
| 3 | 2016 | 89 | |
| 4 | 2017 | 80 | |
| 5 | 2019 | 68 | |
| 6 | 2020 | 66 | |
| 7 | 2011 | 64 | |
| 8 | 2017 | 57 | |
| 9 | 2021 | 56 | |
| 10 | 2014 | 51 | |
| 11 | 2022 | 51 | |
| 12 | 2018 | 48 | |
| 13 | 2018 | 48 | |
| 14 | 2015 | 43 | |
| 15 | 2017 | 37 | |
| 16 | 2019 | 36 | |
| 17 | 2012 | 34 | |
| 18 | 2020 | 33 | |
| 19 | 2022 | 32 | |
| 20 | 2020 | 29 |
About Dan Guo
Dan Guo is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Oncology, having authored 95 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (22 papers), MicroRNA in disease regulation (14 papers), Circular RNAs in diseases (11 papers), RNA modifications and cancer (10 papers), RNA Research and Splicing (7 papers), Cancer-related gene regulation (6 papers), Hair Growth and Disorders (5 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Cancer Research (811 citations), Molecular Biology (1.2k citations), Urology (103 citations), Oncology (202 citations) and Immunology (130 citations). Dan Guo has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yarui Li, Shuixiang He, Guifang Lu, Mudan Ren, Jiayi Huang, Xinlan Lu, Jianping Gong, Yifei Chen, Wen L. Bai and Yan Zhao. Their work appears in journals such as Scientific Reports, Blood, Journal of Translational Medicine, BMC Gastroenterology and Gene.
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.