Hao Ye
Impact in
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- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
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- Autophagy in Disease and Therapy
Papers in
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- CRISPR and Genetic Engineering 3
- Gut microbiota and health 2
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- Autophagy in Disease and Therapy 5
- Co-authors
- Liwen Jiang (5 shared papers)Yong Cui (1 shared paper)Shuai Hu (1 shared paper)Junjun Wang (2 shared papers)Jie Hu (1 shared paper)Youshun Lin (2 shared papers)Dandan Han (1 shared paper)Yunqin Chen (2 shared papers)
- Journals
- World Neurosurgery (1 paper)PLANT PHYSIOLOGY (1 paper)Nature Plants (1 paper)Molecular Plant (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaHong KongSwitzerland
In The Last Decade
Hao Ye
21 papers receiving 386 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 62
- Epidemiology 111
- Endocrinology 14
- Renewable Energy, Sustainability and the Environment 40
- Molecular Biology 152
Countries citing papers authored by Hao Ye
This map shows the geographic impact of Hao 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 Hao Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ye more than expected).
Fields of papers citing papers by Hao Ye
This network shows the impact of papers produced by Hao 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 Hao Ye. The network helps show where Hao Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2020 | 42 | |
| 3 | 2021 | 39 | |
| 4 | 2019 | 36 | |
| 5 | 2022 | 28 | |
| 6 | 2017 | 24 | |
| 7 | 2021 | 24 | |
| 8 | 2016 | 21 | |
| 9 | 2019 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2023 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2017 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Hao Ye
Hao Ye is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Plant Science and Surgery, having authored 22 papers that have together received 392 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Plant Molecular Biology Research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), CRISPR and Genetic Engineering (3 papers), Bacteriophages and microbial interactions (2 papers), Elbow and Forearm Trauma Treatment (2 papers), Gut microbiota and health (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cell Biology (62 citations), Epidemiology (111 citations), Endocrinology (14 citations), Renewable Energy, Sustainability and the Environment (40 citations) and Molecular Biology (152 citations). Hao Ye has collaborated with scholars based in China, Hong Kong and Switzerland. Frequent co-authors include Liwen Jiang, Yong Cui, Shuai Hu, Junjun Wang, Jie Hu, Youshun Lin, Dandan Han, Yunqin Chen, Shilan Wang and Yang Hou. Their work appears in journals such as World Neurosurgery, PLANT PHYSIOLOGY, Nature Plants, Molecular Plant and Frontiers in Plant Science.
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.