Ye Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
-
- Epigenetics and DNA Methylation
- Bone Metabolism and Diseases
- RNA modifications and cancer
- Cancer-related gene regulation
Papers in
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- Epigenetics and DNA Methylation 7
- Bone Metabolism and Diseases 6
- Cancer-related gene regulation 3
- RNA modifications and cancer 3
- Metabolism, Diabetes, and Cancer 2
- Oncology 7
- Cytokine Signaling Pathways and Interactions 2
- Cancer-related Molecular Pathways 2
- Co-authors
- Dechun Geng (11 shared papers)Jae‐Hoon Chang (5 shared papers)Weiping Yu (4 shared papers)Yaozeng Xu (5 shared papers)Zhirong Wang (4 shared papers)Mahesh Pandit (3 shared papers)Ben Kang (3 shared papers)Qing Ma (3 shared papers)
- Journals
- Journal of Cancer (4 papers)Nature Communications (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Journal of Nanobiotechnology (2 papers)Autophagy (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Ye Gu
32 papers receiving 952 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 141
- Molecular Biology 517
- Immunology 123
- Oncology 137
- Endocrine and Autonomic Systems 26
Countries citing papers authored by Ye Gu
This map shows the geographic impact of Ye 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 Ye Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Gu more than expected).
Fields of papers citing papers by Ye Gu
This network shows the impact of papers produced by Ye 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 Ye Gu. The network helps show where Ye Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 96 | |
| 2 | 2017 | 96 | |
| 3 | 2016 | 89 | |
| 4 | 2016 | 80 | |
| 5 | 2021 | 71 | |
| 6 | 2022 | 66 | |
| 7 | 2023 | 49 | |
| 8 | 2021 | 42 | |
| 9 | 2018 | 41 | |
| 10 | 2017 | 35 | |
| 11 | 2019 | 34 | |
| 12 | 2022 | 33 | |
| 13 | 2017 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2021 | 18 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2019 | 13 |
About Ye Gu
Ye Gu is a scholar working on Molecular Biology, Oncology, Surgery, Immunology and Rheumatology, having authored 33 papers that have together received 953 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Bone Metabolism and Diseases (6 papers), Cancer-related gene regulation (3 papers), RNA modifications and cancer (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Pancreatitis Pathology and Treatment (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (141 citations), Molecular Biology (517 citations), Immunology (123 citations), Oncology (137 citations) and Endocrine and Autonomic Systems (26 citations). Ye Gu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Dechun Geng, Jae‐Hoon Chang, Weiping Yu, Yaozeng Xu, Zhirong Wang, Mahesh Pandit, Ben Kang, Qing Ma, Jie Lin and Kang Guo. Their work appears in journals such as Journal of Cancer, Nature Communications, Frontiers in Cellular and Infection Microbiology, Journal of Nanobiotechnology and Autophagy.
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.