Yan Gu
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
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- Prostate Cancer Treatment and Research
- Ferroptosis and cancer prognosis
Papers in
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- Epigenetics and DNA Methylation 5
- DNA Repair Mechanisms 4
- Ubiquitin and proteasome pathways 4
- RNA modifications and cancer 4
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- Prostate Cancer Treatment and Research 12
- Ferroptosis and cancer prognosis 6
- Co-authors
- Damu Tang (28 shared papers)Xiaozeng Lin (24 shared papers)Anil Kapoor (22 shared papers)Wenjuan Mei (9 shared papers)Pierre Major (13 shared papers)Diane Ojo (4 shared papers)Nicholas Wong (3 shared papers)Hui Xu (1 shared paper)
- Journals
- Cancers (9 papers)Genes (3 papers)Biomolecules (2 papers)International Journal of Molecular Sciences (2 papers)Molecular Cancer (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yan Gu
50 papers receiving 859 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 180
- Pulmonary and Respiratory Medicine 203
- Nephrology 38
- Molecular Biology 356
- Oncology 127
Countries citing papers authored by Yan Gu
This map shows the geographic impact of Yan 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 Yan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Gu more than expected).
Fields of papers citing papers by Yan Gu
This network shows the impact of papers produced by Yan 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 Yan Gu. The network helps show where Yan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2020 | 83 | |
| 3 | 2015 | 55 | |
| 4 | 2021 | 50 | |
| 5 | 2015 | 47 | |
| 6 | 2015 | 40 | |
| 7 | 2014 | 31 | |
| 8 | 2023 | 29 | |
| 9 | 2019 | 29 | |
| 10 | 2024 | 27 | |
| 11 | 2017 | 26 | |
| 12 | 2018 | 24 | |
| 13 | 2020 | 24 | |
| 14 | 2018 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2022 | 20 | |
| 17 | 2005 | 20 | |
| 18 | 2020 | 18 | |
| 19 | 2019 | 16 | |
| 20 | 2020 | 16 |
About Yan Gu
Yan Gu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 52 papers that have together received 874 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Cancer-related molecular mechanisms research (7 papers), Ferroptosis and cancer prognosis (6 papers), Epigenetics and DNA Methylation (5 papers), Cancer, Lipids, and Metabolism (5 papers), DNA Repair Mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (180 citations), Pulmonary and Respiratory Medicine (203 citations), Nephrology (38 citations), Molecular Biology (356 citations) and Oncology (127 citations). Yan Gu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Damu Tang, Xiaozeng Lin, Anil Kapoor, Wenjuan Mei, Pierre Major, Diane Ojo, Nicholas Wong, Hui Xu, Xue Yang and Chenfang Zhu. Their work appears in journals such as Cancers, Genes, Biomolecules, International Journal of Molecular Sciences and Molecular Cancer.
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.