Haochen Yu
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Catalysis top 10%
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 4
- Inflammatory Biomarkers in Disease Prognosis 2
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- FOXO transcription factor regulation 3
- Bone Metabolism and Diseases 3
- Co-authors
- Shengchun Liu (16 shared papers)Shuangxi Liu (6 shared papers)Kai Xiong Tao (5 shared papers)Jian Yong Lei (5 shared papers)Rui Chen (5 shared papers)Kai Man Kerry Yu (5 shared papers)Lan‐Lan Lou (5 shared papers)Chengcheng Yang (5 shared papers)
In The Last Decade
Haochen Yu
48 papers receiving 1.3k citations
Haochen Yu's Hit Papers
Peers
Comparison fields: 5 of 107
- Cancer Research 191
- Catalysis 77
- Renewable Energy, Sustainability and the Environment 152
- Hepatology 58
- Bioengineering 43
Countries citing papers authored by Haochen Yu
This map shows the geographic impact of Haochen Yu'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 Haochen Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Yu more than expected).
Fields of papers citing papers by Haochen Yu
This network shows the impact of papers produced by Haochen Yu. 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 Haochen Yu. The network helps show where Haochen Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haochen Yu, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 194 | |
| 2 | Local Electronic Structure Modulation of Interfacial Oxygen Vacancies Promotes the Oxygen Activation Capacity of Pt/Ce 1– x M x O 2−δ Hit paper breakdown → | 2024 | 147 |
| 3 | 2021 | 140 | |
| 4 | 2018 | 74 | |
| 5 | 2012 | 74 | |
| 6 | 2019 | 57 | |
| 7 | 2015 | 56 | |
| 8 | 2009 | 49 | |
| 9 | 2008 | 44 | |
| 10 | 2020 | 35 | |
| 11 | 2021 | 33 | |
| 12 | 2019 | 33 | |
| 13 | 2019 | 31 | |
| 14 | 2020 | 31 | |
| 15 | 2019 | 28 | |
| 16 | 2021 | 26 | |
| 17 | 2022 | 24 | |
| 18 | 2008 | 18 | |
| 19 | 2024 | 14 | |
| 20 | 2019 | 13 |
About Haochen Yu
Haochen Yu is a scholar working on Oncology, Molecular Biology, Renewable Energy, Sustainability and the Environment, Cancer Research and Materials Chemistry, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (6 papers), Electrocatalysts for Energy Conversion (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), FOXO transcription factor regulation (3 papers), Bone Metabolism and Diseases (3 papers), Ferroptosis and cancer prognosis (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Advanced Nanomaterials in Catalysis (2 papers). The work is most often cited by research in Cancer Research (191 citations), Catalysis (77 citations), Renewable Energy, Sustainability and the Environment (152 citations), Hepatology (58 citations) and Bioengineering (43 citations). Haochen Yu has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Shengchun Liu, Shuangxi Liu, Kai Xiong Tao, Jian Yong Lei, Rui Chen, Kai Man Kerry Yu, Lan‐Lan Lou, Chengcheng Yang, Fanli Qu and Shipeng Guo. Their work appears in journals such as Scientific Reports, ACS Applied Materials & Interfaces, Frontiers in Immunology, ACS Catalysis and Journal of Ect.
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.