Daichao Wu

2.6k citations
37 papers · 1.6k indexed · 2 hit papers · h-index 17
Topics
CAR-T cell therapy research (8 papers)Immunotherapy and Immune Responses (6 papers)Cancer Immunotherapy and Biomarkers (5 papers)
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Daichao Wu

35 papers receiving 1.5k citations

Hit Papers

SHOP2: An HTN Planning System200320262010201820032019100200300400500

Peers

Daichao Wu
Comparison fields: 5 of 123
  • Artificial Intelligence 551
  • Molecular Biology 413
  • Reproductive Medicine 314
  • Public Health, Environmental and Occupational Health 202
  • Information Systems 190
Replace Yongzhi Cao with:
Yongzhi Cao China
Satya Prakash Yadav India
Jayasree Sengupta India
Toshiaki Miyazaki Japan
David Bednarski United States
Yingying Yu China
Jason Flannick United States
Lizong Zhang China
Wim Verhaegh Netherlands
G. Soda Italy
Daichao Wu relative to Yongzhi Cao China Yongzhi Cao's profile →
Citations per field
00.5×
Yongzhi Cao · 1×
Citations per year

Countries citing papers authored by Daichao Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daichao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Daichao Wu. A scholar is included among the top collaborators of Daichao Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daichao Wu. Daichao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 15
4 1
5 9
6 7
7 4
8 11
9 14
10 27
11 99
12 18
13 10
14 45
15 125
16
Hyperandrogenemia and insulin resistance: The chief culprit of polycystic ovary syndromebreakdown →
218
17 30
18 16
19 4
20 32

About Daichao Wu

Daichao Wu is a scholar working on Immunology, Reproductive Medicine and Oncology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Reproductive Medicine (314 citations), Artificial Intelligence (551 citations) and Software (37 citations). Daichao Wu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Dana Nau, Jaimie Murdock, Fusun Yaman, Tsz-Chiu Au, Ugur Kuter, Okhtay Ilghami, Meixiang Li, Hui Guo, Juan Wang and Yongheng Chen. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Blood.

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.

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