Daichao Wu
Impact in
- Reproductive Medicine top 2%
- Ovarian function and disorders
- Artificial Intelligence top 2%
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- Multi-Agent Systems and Negotiation
Papers in
- Immunology 12
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 4
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- Kruppel-like factors research 3
- Fibroblast Growth Factor Research 3
- Co-authors
- Dana Nau (2 shared papers)Fusun Yaman (2 shared papers)Jaimie Murdock (2 shared papers)Tsz-Chiu Au (2 shared papers)Ugur Kuter (2 shared papers)Okhtay Ilghami (2 shared papers)Meixiang Li (6 shared papers)Juan Wang (1 shared paper)
- Journals
- Nature Communications (3 papers)Life Sciences (2 papers)Journal of Biological Chemistry (2 papers)Biomarker Research (1 paper)IEEE Intelligent Systems (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Daichao Wu
35 papers receiving 1.6k citations
Daichao Wu's Hit Papers
Peers
Comparison fields: 5 of 119
- Reproductive Medicine 303
- Artificial Intelligence 551
- Software 37
- Information Systems 190
- Immunology 164
Countries citing papers authored by Daichao Wu
This map shows the geographic impact of Daichao Wu'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 Daichao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daichao Wu more than expected).
Fields of papers citing papers by Daichao Wu
This network shows the impact of papers produced by Daichao Wu. 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 Daichao Wu. The network helps show where Daichao Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daichao Wu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SHOP2: An HTN Planning System Hit paper breakdown → | 2003 | 580 |
| 2 | Hyperandrogenemia and insulin resistance: The chief culprit of polycystic ovary syndrome Hit paper breakdown → | 2019 | 234 |
| 3 | 2019 | 143 | |
| 4 | 2021 | 104 | |
| 5 | 2005 | 75 | |
| 6 | 2018 | 53 | |
| 7 | 2018 | 49 | |
| 8 | 2020 | 46 | |
| 9 | 2017 | 38 | |
| 10 | 2016 | 32 | |
| 11 | 2018 | 31 | |
| 12 | 2020 | 29 | |
| 13 | Decoding tumor angiogenesis: pathways, mechanisms, and future directions in anti-cancer strategies Hit paper breakdown → | 2025 | 29 |
| 14 | 2022 | 27 | |
| 15 | 2018 | 25 | |
| 16 | 2020 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2017 | 16 | |
| 19 | 2023 | 14 | |
| 20 | 2023 | 14 |
About Daichao Wu
Daichao Wu is a scholar working on Immunology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Rheumatology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Eosinophilic Disorders and Syndromes (4 papers), Immune Cell Function and Interaction (4 papers), Reproductive Biology and Fertility (4 papers), Kruppel-like factors research (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Reproductive Medicine (303 citations), Artificial Intelligence (551 citations), Software (37 citations), Information Systems (190 citations) and Immunology (164 citations). Daichao Wu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Dana Nau, Fusun Yaman, Jaimie Murdock, Tsz-Chiu Au, Ugur Kuter, Okhtay Ilghami, Meixiang Li, Juan Wang, Hui Guo and Yongheng Chen. Their work appears in journals such as Nature Communications, Life Sciences, Journal of Biological Chemistry, Biomarker Research and IEEE Intelligent Systems.
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.