Jun Kou

517 total citations · 1 hit paper
7 papers, 399 citations indexed

About

Jun Kou is a scholar working on Molecular Biology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Jun Kou has authored 7 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Biomedical Engineering and 1 paper in Infectious Diseases. Recurrent topics in Jun Kou's work include CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Biosensors and Analytical Detection (4 papers). Jun Kou is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Biosensors and Analytical Detection (4 papers). Jun Kou collaborates with scholars based in China and United Kingdom. Jun Kou's co-authors include Long Ma, Shuli Man, Yaru Li, Dan Liao, Wenlu Zhang, Lijuan Yin, Han Xiao, Zhiying Zhao, Yigang Tong and Xin Xiong and has published in prestigious journals such as Journal of Hazardous Materials, Small and Trends in biotechnology.

In The Last Decade

Jun Kou

7 papers receiving 397 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Novel non-nucleic acid targets detection strategies based on CRISPR/Cas toolboxes: A review

2022 149 citations Yaru Li, Jun Kou et al. Biosensors and Bioelectronics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jun Kou China	7	364	213	39	34	29	7	399
Dan Liao China	7	349 1.0×	186 0.9×	24 0.6×	40 1.2×	21 0.7×	11	416
Zhichen Xu China	7	357 1.0×	194 0.9×	30 0.8×	28 0.8×	38 1.3×	9	475
Zhiying Zhao China	9	418 1.1×	345 1.6×	34 0.9×	50 1.5×	37 1.3×	10	504
Yongya Li Canada	7	551 1.5×	294 1.4×	44 1.1×	33 1.0×	37 1.3×	7	565
Dongjuan Chen China	12	425 1.2×	365 1.7×	29 0.7×	19 0.6×	37 1.3×	28	642
Gaihua Cao China	15	446 1.2×	159 0.7×	28 0.7×	53 1.6×	38 1.3×	25	500
Zhijian Yi China	5	324 0.9×	210 1.0×	20 0.5×	15 0.4×	47 1.6×	7	377
Xiaoxue Cheng China	9	421 1.2×	186 0.9×	13 0.3×	54 1.6×	16 0.6×	15	449
Shulang Chen China	7	260 0.7×	274 1.3×	33 0.8×	45 1.3×	36 1.2×	9	409
Jayeon Song South Korea	13	348 1.0×	204 1.0×	19 0.5×	31 0.9×	47 1.6×	26	430

Countries citing papers authored by Jun Kou

Since Specialization

Citations

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

Fields of papers citing papers by Jun Kou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kou

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kou. A scholar is included among the top collaborators of Jun Kou 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 Jun Kou. Jun Kou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Kou, Jun, Yaru Li, Zhiying Zhao, et al.. (2024). Simultaneous Dual‐Gene Test of Methicillin‐Resistant Staphylococcus Aureus using an Argonaute‐Centered Portable and Visual Biosensor. Small. 20(24). e2311764–e2311764. 17 indexed citations

2.

Li, Yaru, Jun Kou, Han Xiao, et al.. (2023). Argonaute-triggered visual and rebuilding-free foodborne pathogenic bacteria detection. Journal of Hazardous Materials. 454. 131485–131485. 72 indexed citations

3.

Li, Yaru, Yajie Liu, Xiaoqin Tang, et al.. (2023). CRISPR/Cas-Powered Amplification-Free Detection of Nucleic Acids: Current State of the Art, Challenges, and Futuristic Perspectives. ACS Sensors. 8(12). 4420–4441. 49 indexed citations

4.

Ma, Long, Dan Liao, Zhiying Zhao, et al.. (2023). Sensitive Small Molecule Aptasensing based on Hybridization Chain Reaction and CRISPR/Cas12a Using a Portable 3D-Printed Visualizer. ACS Sensors. 8(3). 1076–1084. 47 indexed citations

5.

Li, Yaru, Xiao Han, Zhiying Zhao, et al.. (2022). Needs, Challenges and Countermeasures of SARS-CoV-2 Surveillance in Cold-Chain Foods and Packaging to Prevent Possible COVID-19 Resurgence: A Perspective from Advanced Detections. Viruses. 15(1). 120–120. 7 indexed citations

6.

Li, Yaru, Jun Kou, Dan Liao, et al.. (2022). Novel non-nucleic acid targets detection strategies based on CRISPR/Cas toolboxes: A review. Biosensors and Bioelectronics. 215. 114559–114559. 149 indexed citations breakdown →

7.

Li, Yaru, Dan Liao, Jun Kou, et al.. (2022). Comparison of CRISPR/Cas and Argonaute for nucleic acid tests. Trends in biotechnology. 41(5). 595–599. 58 indexed citations

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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