Zu Ye
Impact in
-
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Protein Tyrosine Phosphatases
- DNA and Nucleic Acid Chemistry
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
-
- DNA Repair Mechanisms 7
- Protein Tyrosine Phosphatases 5
- CRISPR and Genetic Engineering 4
- Protein Kinase Regulation and GTPase Signaling 3
- RNA Interference and Gene Delivery 2
- Oncology 7
- PARP inhibition in cancer therapy 5
- Co-authors
- John A. Tainer (6 shared papers)Albino Bacolla (4 shared papers)Zamal Ahmed (4 shared papers)Yin Shi (10 shared papers)Qi Zeng (3 shared papers)Muralidhar L. Hegde (2 shared papers)Sankar Mitra (2 shared papers)Jing Ji (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Biomolecules (2 papers)Free Radical Biology and Medicine (2 papers)Nucleic Acids Research (2 papers)Communications Biology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zu Ye
24 papers receiving 340 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 231
- Structural Biology 4
- Oncology 64
- Cancer Research 29
- Pollution 25
Countries citing papers authored by Zu Ye
This map shows the geographic impact of Zu Ye'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 Zu Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zu Ye more than expected).
Fields of papers citing papers by Zu Ye
This network shows the impact of papers produced by Zu Ye. 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 Zu Ye. The network helps show where Zu Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Zu Ye, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 39 | |
| 2 | 2019 | 39 | |
| 3 | 2019 | 27 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 24 | |
| 6 | 2015 | 24 | |
| 7 | 2024 | 23 | |
| 8 | 2024 | 21 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 17 | |
| 11 | 2024 | 15 | |
| 12 | 2021 | 13 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2025 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Zu Ye
Zu Ye is a scholar working on Molecular Biology, Oncology, Cell Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 26 papers that have together received 341 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), PARP inhibition in cancer therapy (5 papers), Protein Tyrosine Phosphatases (5 papers), CRISPR and Genetic Engineering (4 papers), Microtubule and mitosis dynamics (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Molecular Biology (231 citations), Structural Biology (4 citations), Oncology (64 citations), Cancer Research (29 citations) and Pollution (25 citations). Zu Ye has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include John A. Tainer, Albino Bacolla, Zamal Ahmed, Yin Shi, Qi Zeng, Muralidhar L. Hegde, Sankar Mitra, Jing Ji, Dingyi Wang and Abdul Qader Al-Aidaroos. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biomolecules, Free Radical Biology and Medicine, Nucleic Acids Research and Communications Biology.
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.