Xi Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 6
- RNA Research and Splicing 3
-
- Neuroscience and Neural Engineering 7
- Neuroscience and Neuropharmacology Research 4
- 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)Ying Liu (1 shared paper)Chunlei Yao (1 shared paper)Chi Man Tsang (2 shared papers)
- Journals
- Molecular Neurobiology (4 papers)Frontiers in Molecular Neuroscience (2 papers)International Journal of Molecular Sciences (2 papers)ACS Chemical Neuroscience (2 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xi Gu
38 papers receiving 716 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 173
- Biological Psychiatry 21
- Bioengineering 52
- Polymers and Plastics 128
- Developmental Neuroscience 28
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 60 | |
| 2 | 2016 | 56 | |
| 3 | 2006 | 54 | |
| 4 | 2022 | 51 | |
| 5 | 2013 | 48 | |
| 6 | 2018 | 43 | |
| 7 | 2016 | 42 | |
| 8 | 2018 | 37 | |
| 9 | 2020 | 33 | |
| 10 | 2022 | 31 | |
| 11 | 2018 | 26 | |
| 12 | 2015 | 23 | |
| 13 | 1999 | 23 | |
| 14 | 2019 | 22 | |
| 15 | 2022 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2022 | 17 | |
| 19 | 2019 | 16 | |
| 20 | 2018 | 9 |
About Xi Gu
Xi Gu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Physiology and Polymers and Plastics, having authored 44 papers that have together received 726 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Neuroscience and Neural Engineering (7 papers), Circular RNAs in diseases (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Conducting polymers and applications (4 papers), Alzheimer's disease research and treatments (4 papers), RNA Research and Splicing (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Cancer Research (173 citations), Biological Psychiatry (21 citations), Bioengineering (52 citations), Polymers and Plastics (128 citations) and Developmental Neuroscience (28 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, Ying Liu, Chunlei Yao, Chi Man Tsang, Sai Wah Tsao and Xiaohong Su. Their work appears in journals such as Molecular Neurobiology, Frontiers in Molecular Neuroscience, International Journal of Molecular Sciences, ACS Chemical Neuroscience and Journal of Cellular Physiology.
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.