J.J. Guo
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 2
- Extracellular vesicles in disease 2
- Co-authors
- Xiaofeng Jiang (6 shared papers)Zhi Yang (4 shared papers)Zhenghou Zhang (3 shared papers)Yiping Qian (3 shared papers)Fusheng Zhang (3 shared papers)Haiying Zhao (3 shared papers)Longxiang Xie (5 shared papers)Guang Wang (2 shared papers)
- Journals
- Value in Health (7 papers)Aging (1 paper)Cell and Tissue Research (1 paper)Genes (1 paper)Pharmacological Research (1 paper)
- Partner nations
- ChinaUnited StatesSlovakia
In The Last Decade
J.J. Guo
23 papers receiving 528 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 211
- Behavioral Neuroscience 16
- Molecular Biology 306
- Immunology 93
- Genetics 37
Countries citing papers authored by J.J. Guo
This map shows the geographic impact of J.J. 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 J.J. Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.J. Guo more than expected).
Fields of papers citing papers by J.J. Guo
This network shows the impact of papers produced by J.J. 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 J.J. Guo. The network helps show where J.J. Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside J.J. 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 102 | |
| 2 | 2013 | 65 | |
| 3 | 2022 | 59 | |
| 4 | 2020 | 52 | |
| 5 | 2019 | 50 | |
| 6 | 2016 | 32 | |
| 7 | 2022 | 29 | |
| 8 | 2017 | 25 | |
| 9 | 2019 | 25 | |
| 10 | 2024 | 23 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2014 | 8 | |
| 15 | 2015 | 4 | |
| 16 | 2019 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2019 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2020 | 1 |
About J.J. Guo
J.J. Guo is a scholar working on Molecular Biology, Immunology, Cancer Research, Pharmacology and Genetics, having authored 23 papers that have together received 534 indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (3 papers), Circular RNAs in diseases (3 papers), Pharmaceutical Economics and Policy (3 papers), MicroRNA in disease regulation (2 papers), Ferroptosis and cancer prognosis (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (211 citations), Behavioral Neuroscience (16 citations), Molecular Biology (306 citations), Immunology (93 citations) and Genetics (37 citations). J.J. Guo has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Xiaofeng Jiang, Zhi Yang, Zhenghou Zhang, Yiping Qian, Fusheng Zhang, Haiying Zhao, Longxiang Xie, Guang Wang, Xiangqian Guo and Zhongyi Yan. Their work appears in journals such as Value in Health, Aging, Cell and Tissue Research, Genes and Pharmacological 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.