Xi Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 8
- RNA Research and Splicing 4
-
- MicroRNA in disease regulation 12
- Co-authors
- I‐Ming Hsing (4 shared papers)Wang Xuemin (8 shared papers)Lifang Lin (8 shared papers)Shuhu Liu (6 shared papers)Chunhong Jia (6 shared papers)Chi Man Tsang (2 shared papers)Chunlei Yao (1 shared paper)Ying Liu (1 shared paper)
- Journals
- Molecular Neurobiology (4 papers)Journal of Cellular Physiology (2 papers)ACS Chemical Neuroscience (2 papers)International Journal of Molecular Sciences (2 papers)Frontiers in Molecular Neuroscience (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xi Gu
38 papers receiving 677 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 183
- Biological Psychiatry 24
- Polymers and Plastics 125
- Bioengineering 50
- Developmental Neuroscience 32
Countries citing papers authored by Xi Gu
This map shows the geographic impact of Xi Gu'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 Xi Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Gu more than expected).
Fields of papers citing papers by Xi Gu
This network shows the impact of papers produced by Xi Gu. 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 Xi Gu. The network helps show where Xi Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Gu, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 59 | |
| 2 | 2016 | 53 | |
| 3 | 2006 | 52 | |
| 4 | 2013 | 47 | |
| 5 | 2022 | 47 | |
| 6 | 2018 | 42 | |
| 7 | 2016 | 42 | |
| 8 | 2018 | 36 | |
| 9 | 2020 | 32 | |
| 10 | 2022 | 28 | |
| 11 | 2018 | 25 | |
| 12 | 2015 | 23 | |
| 13 | 1999 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2018 | 18 | |
| 16 | 2023 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2019 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2018 | 8 |
About Xi Gu
Xi Gu is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Physiology and Oncology, having authored 39 papers that have together received 686 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (8 papers), Neuroscience and Neural Engineering (7 papers), Alzheimer's disease research and treatments (5 papers), Conducting polymers and applications (4 papers), RNA Research and Splicing (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Cancer Research (183 citations), Biological Psychiatry (24 citations), Polymers and Plastics (125 citations), Bioengineering (50 citations) and Developmental Neuroscience (32 citations). Xi Gu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include I‐Ming Hsing, Wang Xuemin, Lifang Lin, Shuhu Liu, Chunhong Jia, Chi Man Tsang, Chunlei Yao, Ying Liu, Xiaohong Su and Peidong Zhang. Their work appears in journals such as Molecular Neurobiology, Journal of Cellular Physiology, ACS Chemical Neuroscience, International Journal of Molecular Sciences and Frontiers in Molecular Neuroscience.
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.