Kun Cheng

5.6k total citations · 1 hit paper
102 papers, 4.4k citations indexed

About

Kun Cheng is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Kun Cheng has authored 102 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 26 papers in Oncology and 23 papers in Surgery. Recurrent topics in Kun Cheng's work include RNA Interference and Gene Delivery (27 papers), Liver physiology and pathology (17 papers) and Advanced biosensing and bioanalysis techniques (14 papers). Kun Cheng is often cited by papers focused on RNA Interference and Gene Delivery (27 papers), Liver physiology and pathology (17 papers) and Advanced biosensing and bioanalysis techniques (14 papers). Kun Cheng collaborates with scholars based in United States, China and Australia. Kun Cheng's co-authors include Wanyi Tai, Rubi Mahato, Akshay Jain, Zhen Zhao, Hao Liu, Li Zhang, Ram I. Mahato, Chang Liu, Ashutosh Barve and Bin Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemistry and Cancer Research.

In The Last Decade

Kun Cheng

96 papers receiving 4.3k citations

Hit Papers

Delivery strategies of the CRISPR-Cas9 gene-editing syste... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Kun Cheng
Comparison fields: 5 of 131
  • Molecular Biology 2.5k
  • Oncology 872
  • Biomaterials 698
  • Biomedical Engineering 684
  • Immunology 506
Replace Andreas Wicki with:
Andreas Wicki Switzerland
Jihong Sun China
Yunching Chen Taiwan
Mirco Ponzoni Italy
Simon T. Barry United Kingdom
Rajagopal Ramesh United States
M. Guillaume Wientjes United States
Sung‐Sik Han South Korea
Yuting Yang China
Iduna Fichtner Germany
Andreas Wicki Switzerland View profile →
Citations per field, relative to Kun Cheng
Kun Cheng · 1×
Citations per year, relative to Kun Cheng
Kun Cheng · 1×

Countries citing papers authored by Kun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Kun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Cheng. A scholar is included among the top collaborators of Kun Cheng 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 Kun Cheng. Kun Cheng 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 3
2 0
3 0
4 0
5 5
6 34
7 71
8 10
9 75
10 92
11
Delivery strategies of the CRISPR-Cas9 gene-editing system for therapeutic applications breakdown →
443
12 43
13 48
14 33
15 24
16 78
17 76
18 39
19 16
20 41

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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