Xing Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 8
- Ubiquitin and proteasome pathways 7
- RNA modifications and cancer 4
- Oncology 8
- Co-authors
- Chunfang Gao (16 shared papers)Jun Ji (11 shared papers)Tonghai Dou (5 shared papers)Peng Qi (5 shared papers)Feiguo Zhou (4 shared papers)Hao Wang (3 shared papers)Yunpeng Zhao (6 shared papers)Meng Fang (6 shared papers)
- Journals
- Molecular Biology Reports (3 papers)PLoS ONE (3 papers)Oncotarget (2 papers)Human Immunology (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xing Gu
59 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 172
- Hepatology 67
- Molecular Biology 554
- Immunology 152
- Oncology 138
Countries citing papers authored by Xing Gu
This map shows the geographic impact of Xing 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 Xing Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Gu more than expected).
Fields of papers citing papers by Xing Gu
This network shows the impact of papers produced by Xing 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 Xing Gu. The network helps show where Xing Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 111 | |
| 2 | 2014 | 93 | |
| 3 | 2013 | 60 | |
| 4 | 2015 | 58 | |
| 5 | 2011 | 57 | |
| 6 | 2009 | 51 | |
| 7 | 2009 | 36 | |
| 8 | 2011 | 35 | |
| 9 | 2015 | 30 | |
| 10 | 2008 | 29 | |
| 11 | 2005 | 25 | |
| 12 | 2009 | 25 | |
| 13 | 2018 | 21 | |
| 14 | 2006 | 20 | |
| 15 | 2023 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2005 | 17 | |
| 18 | 2017 | 17 | |
| 19 | 2015 | 16 | |
| 20 | 2013 | 16 |
About Xing Gu
Xing Gu is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Epidemiology, having authored 61 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Ubiquitin and proteasome pathways (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Enzyme Structure and Function (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), Hepatitis B Virus Studies (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Cancer Research (172 citations), Hepatology (67 citations), Molecular Biology (554 citations), Immunology (152 citations) and Oncology (138 citations). Xing Gu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chunfang Gao, Jun Ji, Tonghai Dou, Peng Qi, Feiguo Zhou, Hao Wang, Yunpeng Zhao, Meng Fang, Geng Li and Yumin Mao. Their work appears in journals such as Molecular Biology Reports, PLoS ONE, Oncotarget, Human Immunology and Biochemical and Biophysical Research Communications.
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.