Xingjun Guo
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
Papers in
-
- RNA modifications and cancer 11
- Circular RNAs in diseases 8
- Cell death mechanisms and regulation 3
-
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 14
- Co-authors
- Jianxin Jiang (16 shared papers)Min Wang (13 shared papers)Ming Shen (14 shared papers)Ruizhi He (13 shared papers)Renyi Qin (14 shared papers)Renyi Qin (8 shared papers)Xiuhui Shi (9 shared papers)Shutao Pan (12 shared papers)
- Journals
- Oncotarget (5 papers)Journal of Experimental & Clinical Cancer Research (4 papers)International Journal of Surgery (2 papers)Molecular Cancer Research (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xingjun Guo
53 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 91
- Cancer Research 792
- Oncology 487
- Molecular Biology 1.0k
- Cell Biology 158
- Complementary and alternative medicine 70
Countries citing papers authored by Xingjun Guo
This map shows the geographic impact of Xingjun 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 Xingjun Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingjun Guo more than expected).
Fields of papers citing papers by Xingjun Guo
This network shows the impact of papers produced by Xingjun 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 Xingjun Guo. The network helps show where Xingjun Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingjun 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 91 | |
| 2 | 2013 | 88 | |
| 3 | 2015 | 86 | |
| 4 | 2016 | 77 | |
| 5 | 2017 | 74 | |
| 6 | 2015 | 72 | |
| 7 | 2016 | 70 | |
| 8 | 2019 | 62 | |
| 9 | 2019 | 60 | |
| 10 | 2017 | 58 | |
| 11 | 2017 | 58 | |
| 12 | 2016 | 55 | |
| 13 | 2017 | 55 | |
| 14 | 2019 | 52 | |
| 15 | 2018 | 48 | |
| 16 | 2019 | 47 | |
| 17 | 2018 | 47 | |
| 18 | 2016 | 42 | |
| 19 | 2021 | 42 | |
| 20 | 2018 | 41 |
About Xingjun Guo
Xingjun Guo is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Epidemiology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (17 papers), Pancreatic and Hepatic Oncology Research (15 papers), Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (11 papers), Circular RNAs in diseases (8 papers), Autophagy in Disease and Therapy (6 papers), Pancreatitis Pathology and Treatment (4 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Cancer Research (792 citations), Oncology (487 citations), Molecular Biology (1.0k citations), Cell Biology (158 citations) and Complementary and alternative medicine (70 citations). Xingjun Guo has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jianxin Jiang, Min Wang, Ming Shen, Ruizhi He, Renyi Qin, Min Wang, Renyi Qin, Xiuhui Shi, Shutao Pan and Chencheng Xie. Their work appears in journals such as Oncotarget, Journal of Experimental & Clinical Cancer Research, International Journal of Surgery, Molecular Cancer Research and Cancer Letters.
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.