Yu Gu
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 9
- Metabolomics and Mass Spectrometry Studies 5
- Cancer-related gene regulation 5
- RNA modifications and cancer 5
- Hematology 12
- Acute Myeloid Leukemia Research 11
- Co-authors
- Jing Ye (20 shared papers)Jiang Lin (15 shared papers)Ji‐chun Ma (12 shared papers)Zi‐jun Xu (14 shared papers)Lijun Zhang (12 shared papers)Xiang‐mei Wen (11 shared papers)Jun Qian (7 shared papers)Yuanlin Zhao (12 shared papers)
- Journals
- Clinical Epigenetics (2 papers)PLoS ONE (2 papers)International Journal of Molecular Medicine (2 papers)Lipids in Health and Disease (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yu Gu
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Biochemistry 284
- Cancer Research 209
- Hematology 128
- Molecular Biology 672
- Physiology 178
Countries citing papers authored by Yu Gu
This map shows the geographic impact of Yu 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 Yu Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gu more than expected).
Fields of papers citing papers by Yu Gu
This network shows the impact of papers produced by Yu 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 Yu Gu. The network helps show where Yu Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 | 2014 | 170 | |
| 2 | 2019 | 157 | |
| 3 | 2020 | 79 | |
| 4 | 2017 | 72 | |
| 5 | 2019 | 61 | |
| 6 | 2013 | 56 | |
| 7 | 2019 | 44 | |
| 8 | 2009 | 40 | |
| 9 | 2012 | 38 | |
| 10 | 2010 | 36 | |
| 11 | 2013 | 30 | |
| 12 | 2020 | 28 | |
| 13 | 2011 | 28 | |
| 14 | 2020 | 28 | |
| 15 | 2018 | 27 | |
| 16 | 2013 | 26 | |
| 17 | 2012 | 26 | |
| 18 | 2016 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2013 | 23 |
About Yu Gu
Yu Gu is a scholar working on Molecular Biology, Hematology, Biochemistry, Cancer Research and Physiology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (11 papers), Acute Myeloid Leukemia Research (11 papers), Epigenetics and DNA Methylation (9 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Cancer-related gene regulation (5 papers), RNA modifications and cancer (5 papers), Adipose Tissue and Metabolism (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Biochemistry (284 citations), Cancer Research (209 citations), Hematology (128 citations), Molecular Biology (672 citations) and Physiology (178 citations). Yu Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jing Ye, Jiang Lin, Ji‐chun Ma, Zi‐jun Xu, Lijun Zhang, Xiang‐mei Wen, Jun Qian, Yuanlin Zhao, Xing Gao and Yuan Yuan. Their work appears in journals such as Clinical Epigenetics, PLoS ONE, International Journal of Molecular Medicine, Lipids in Health and Disease and Frontiers in Immunology.
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.