Haodong Yao

1.1k citations
23 papers · 844 indexed · 1 hit paper · h-index 10
Topics
Machine Learning in Materials Science (6 papers)Nanoplatforms for cancer theranostics (5 papers)Nanocluster Synthesis and Applications (4 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaNano Letters

In The Last Decade

Haodong Yao

17 papers receiving 827 citations

Hit Papers

Catalase‐Like Nanozymes: Classification, Catalytic Mechan...2022202620232024202250100150200250

Peers

Haodong Yao
Comparison fields: 5 of 118
  • Materials Chemistry 424
  • Biomedical Engineering 360
  • Molecular Biology 256
  • Biomaterials 154
  • Electrical and Electronic Engineering 92
Replace Jia Zhang with:
Jia Zhang China
Siyu Meng China
Rosita Primavera United States
Reza Abbasi Iran
Chong Qiu China
Hammed Tanimowo Aiyelabegan Iran
Shiyuan Hua China
Ranran Wang China
Huipeng Li China
Haodong Yao relative to Jia Zhang China Jia Zhang's profile →
Citations per field
00.5×
Jia Zhang · 1×
Citations per year

Countries citing papers authored by Haodong Yao

Since Specialization
Citations

This map shows the geographic impact of Haodong Yao'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 Haodong Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haodong Yao more than expected).

Fields of papers citing papers by Haodong Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haodong Yao. 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 Haodong Yao. The network helps show where Haodong Yao may publish in the future.

Co-authorship network of co-authors of Haodong Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Haodong Yao. A scholar is included among the top collaborators of Haodong Yao 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 Haodong Yao. Haodong Yao 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 0
4 0
5 0
6 2
7 1
8 9
9 7
10 5
11 65
12 62
13 5
14
Catalase‐Like Nanozymes: Classification, Catalytic Mechanisms, and Their Applicationsbreakdown →
282
15 2
16 212
17 68
18 78
19 14
20 15

About Haodong Yao

Haodong Yao is a scholar working on Structural Biology, Biomaterials and Physiology, having authored 23 papers that have together received 844 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Nanoplatforms for cancer theranostics (5 papers) and Nanocluster Synthesis and Applications (4 papers). The work is most often cited by research in Biomaterials (154 citations), Materials Chemistry (424 citations) and Biomedical Engineering (360 citations). Haodong Yao has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Lina Zhao, Liyuan Wu, Deting Xu, Xiaofeng Wang, Chunying Chen, Ying Liu, Rong Cai, Jiyang Fu, Lili Li and Liming Wang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

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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