Kerong Dai

18.6k total citations · 1 hit paper
340 papers, 14.7k citations indexed

About

Kerong Dai is a scholar working on Surgery, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Kerong Dai has authored 340 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Surgery, 111 papers in Biomedical Engineering and 82 papers in Molecular Biology. Recurrent topics in Kerong Dai's work include Orthopaedic implants and arthroplasty (83 papers), Bone Tissue Engineering Materials (80 papers) and Bone Metabolism and Diseases (34 papers). Kerong Dai is often cited by papers focused on Orthopaedic implants and arthroplasty (83 papers), Bone Tissue Engineering Materials (80 papers) and Bone Metabolism and Diseases (34 papers). Kerong Dai collaborates with scholars based in China, United States and Australia. Kerong Dai's co-authors include Tingting Tang, Xinhua Qu, Xiaoling Zhang, Zhenan Zhu, Yufeng Zheng, Hongtao Yang, Huiwu Li, Jiang Chang, Qiang Wu and Bo Jia and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Kerong Dai

337 papers receiving 14.4k citations

Hit Papers

Alloying design of biodegradable zinc as promising bone i... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Kerong Dai
Comparison fields: 5 of 182
  • Biomedical Engineering 5.4k
  • Surgery 4.3k
  • Biomaterials 3.6k
  • Molecular Biology 3.2k
  • Materials Chemistry 1.9k
Replace Wenjie Zhang with:
Wenjie Zhang China
Tingting Tang China
Yin Xiao Australia
Abhay Pandit Ireland
Kmc Cheung Hong Kong
William W. Lu Hong Kong
Zvi Schwartz United States
Milena Fini Italy
Xingdong Zhang China
Wei Liu China
Wenjie Zhang China View profile →
Citations per field, relative to Kerong Dai
Kerong Dai · 1×
Citations per year, relative to Kerong Dai
Kerong Dai · 1×

Countries citing papers authored by Kerong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Kerong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Kerong Dai. A scholar is included among the top collaborators of Kerong Dai 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 Kerong Dai. Kerong Dai 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
# Work Indexed citations
1 1
2 0
3 6
4 5
5 38
6 12
7 3
8 92
9 15
10 39
11 7
12 27
13 16
14 59
15 111
16 6
17 18
18 86
19 104
20
Studies and applications of NiTi shape memory alloys in the medical field in China.
35

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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