Yu Gu
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 12
- Cancer-related gene regulation 6
- Metabolomics and Mass Spectrometry Studies 6
- RNA modifications and cancer 5
- Hematology 14
- Acute Myeloid Leukemia Research 13
- Co-authors
- Jing Ye (20 shared papers)Jiang Lin (15 shared papers)Ji‐chun Ma (12 shared papers)Lijun Zhang (12 shared papers)Zi‐jun Xu (14 shared papers)Xiang‐mei Wen (11 shared papers)Jun Qian (7 shared papers)Yuanlin Zhao (12 shared papers)
- Journals
- Clinical Epigenetics (2 papers)Frontiers in Immunology (2 papers)Lipids in Health and Disease (2 papers)Frontiers in Oncology (2 papers)International Journal of Molecular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yu Gu
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Biochemistry 279
- Cancer Research 250
- Hematology 159
- Molecular Biology 778
- Physiology 212
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 | 168 | |
| 2 | 2019 | 149 | |
| 3 | 2020 | 79 | |
| 4 | 2017 | 71 | |
| 5 | 2019 | 60 | |
| 6 | 2013 | 56 | |
| 7 | 2019 | 40 | |
| 8 | 2009 | 39 | |
| 9 | 2012 | 38 | |
| 10 | 2010 | 36 | |
| 11 | 2013 | 30 | |
| 12 | 2020 | 28 | |
| 13 | 2018 | 27 | |
| 14 | 2011 | 27 | |
| 15 | 2012 | 26 | |
| 16 | 2013 | 26 | |
| 17 | 2020 | 26 | |
| 18 | 2013 | 23 | |
| 19 | 2016 | 23 | |
| 20 | 2019 | 23 |
About Yu Gu
Yu Gu is a scholar working on Molecular Biology, Hematology, Cancer Research, Biochemistry and Physiology, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Epigenetics and DNA Methylation (12 papers), Lipid metabolism and biosynthesis (11 papers), Adipose Tissue and Metabolism (7 papers), Cancer-related gene regulation (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Biochemistry (279 citations), Cancer Research (250 citations), Hematology (159 citations), Molecular Biology (778 citations) and Physiology (212 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, Lijun Zhang, Zi‐jun Xu, Xiang‐mei Wen, Jun Qian, Yuanlin Zhao, Xing Gao and Chao Wang. Their work appears in journals such as Clinical Epigenetics, Frontiers in Immunology, Lipids in Health and Disease, Frontiers in Oncology and International Journal of Molecular Medicine.
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.