Yidi Guan
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
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- Pesticide and Herbicide Environmental Studies 6
- Co-authors
- Yan Cheng (10 shared papers)Jinming Yang (8 shared papers)Xisha Chen (6 shared papers)Lanya Li (4 shared papers)Yun Mu (2 shared papers)Liyu Liu (2 shared papers)Yuezhen Deng (2 shared papers)Junju He (3 shared papers)
- Journals
- Pesticide Biochemistry and Physiology (5 papers)Frontiers in Pharmacology (2 papers)Oncogene (2 papers)Acta Pharmacologica Sinica (2 papers)European Journal of Medicinal Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yidi Guan
22 papers receiving 718 citations
Yidi Guan's Hit Papers
Peers
Comparison fields: 5 of 78
- Geriatrics and Gerontology 44
- Cancer Research 173
- Molecular Biology 503
- Oncology 131
- Physiology 14
Countries citing papers authored by Yidi Guan
This map shows the geographic impact of Yidi Guan'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 Yidi Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yidi Guan more than expected).
Fields of papers citing papers by Yidi Guan
This network shows the impact of papers produced by Yidi Guan. 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 Yidi Guan. The network helps show where Yidi Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yidi Guan, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DNA Repair Pathways in Cancer Therapy and Resistance Hit paper breakdown → | 2021 | 262 |
| 2 | 2019 | 98 | |
| 3 | 2020 | 69 | |
| 4 | 2016 | 69 | |
| 5 | 2020 | 37 | |
| 6 | 2018 | 31 | |
| 7 | 2020 | 28 | |
| 8 | 2017 | 23 | |
| 9 | 2020 | 18 | |
| 10 | 2025 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2024 | 3 |
About Yidi Guan
Yidi Guan is a scholar working on Molecular Biology, Pollution, Plant Science, Epidemiology and Oncology, having authored 23 papers that have together received 726 indexed citations. Recurring topics across this work include Pesticide and Herbicide Environmental Studies (6 papers), Weed Control and Herbicide Applications (6 papers), Autophagy in Disease and Therapy (5 papers), Computational Drug Discovery Methods (3 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), Ferroptosis and cancer prognosis (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Geriatrics and Gerontology (44 citations), Cancer Research (173 citations), Molecular Biology (503 citations), Oncology (131 citations) and Physiology (14 citations). Yidi Guan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yan Cheng, Jinming Yang, Xisha Chen, Lanya Li, Yun Mu, Liyu Liu, Yuezhen Deng, Junju He, Lun‐Quan Sun and Yumei Duan. Their work appears in journals such as Pesticide Biochemistry and Physiology, Frontiers in Pharmacology, Oncogene, Acta Pharmacologica Sinica and European Journal of Medicinal Chemistry.
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.