Kai Shi

983 citations
21 papers · 860 indexed · 1 hit paper · h-index 12
Topics
Advanced biosensing and bioanalysis techniques (17 papers)RNA Interference and Gene Delivery (8 papers)CRISPR and Genetic Engineering (5 papers)
Partner nations
China

In The Last Decade

Kai Shi

19 papers receiving 849 citations

Hit Papers

A CRISPR-Cas autocatalysis-driven feedback amplification ...2021202620222024202150100150200

Peers

Kai Shi
Comparison fields: 5 of 59
  • Molecular Biology 799
  • Biomedical Engineering 259
  • Cancer Research 169
  • Materials Chemistry 122
  • Electrical and Electronic Engineering 85
Replace Kai-Ren Zhao with:
Kai-Ren Zhao China
Ling Jiang China
Byung Seok South Korea
Anzhi Sheng China
Junman Chen China
Weipan Peng China
Changyoon Baek South Korea
Nayoung Kim United Kingdom
Guobin Mao China
Yurong Yan China
Kai Shi relative to Kai-Ren Zhao China Kai-Ren Zhao's profile →
Citations per field
00.5×10.8×
Kai-Ren Zhao · 1×
Citations per year

Countries citing papers authored by Kai Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kai Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Shi. A scholar is included among the top collaborators of Kai Shi 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 Kai Shi. Kai Shi 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 1
3 0
4 1
5 1
6 2
7 13
8 3
9 2
10 17
11
A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnosticsbreakdown →
238
12 30
13 17
14 35
15 21
16 65
17 22
18 118
19 126
20 144

About Kai Shi

Kai Shi is a scholar working on Business and International Management, Molecular Biology and Hepatology, having authored 21 papers that have together received 860 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), RNA Interference and Gene Delivery (8 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (799 citations), Cancer Research (169 citations) and Business and International Management (18 citations). Kai Shi has collaborated with scholars based in China. Frequent co-authors include Ruo Yuan, Yun Xiang, Baoting Dou, Cuiyun Yang, Yaqin Chai, Zhou Nie, Chunyang Lei, Shuo Wang, Shiyi Xie and Jianmei Yang. Their work appears in journals such as Analytical Chemistry, Food Chemistry and ACS Applied Materials & Interfaces.

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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