Kunlun Huang

523 total papers · 14.1k total citations
425 papers, 10.1k citations indexed

About

Kunlun Huang is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Kunlun Huang has authored 425 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 255 papers in Molecular Biology, 119 papers in Plant Science and 68 papers in Biomedical Engineering. Recurrent topics in Kunlun Huang's work include Advanced biosensing and bioanalysis techniques (89 papers), Genetically Modified Organisms Research (64 papers) and Biosensors and Analytical Detection (57 papers). Kunlun Huang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (89 papers), Genetically Modified Organisms Research (64 papers) and Biosensors and Analytical Detection (57 papers). Kunlun Huang collaborates with scholars based in China, United States and South Korea. Kunlun Huang's co-authors include Yunbo Luo, Wentao Xu, Xiaoyun He, Wentao Xu, Wentao Xu, Longjiao Zhu, Nan Cheng, Liye Zhu, Yuancong Xu and Boyang Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Kunlun Huang

411 papers receiving 9.9k citations

Hit Papers

Research Progress of Safe... 2022 2026 2023 2024 2022 2023 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kunlun Huang 5.0k 2.8k 1.9k 1.1k 1.0k 425 10.1k
Hesham R. El‐Seedi 3.5k 0.7× 2.4k 0.9× 1.4k 0.8× 1.8k 1.7× 1.1k 1.1× 412 12.3k
Yunbo Luo 7.4k 1.5× 6.1k 2.2× 1.8k 1.0× 1.2k 1.2× 931 0.9× 342 12.0k
Huimin Wang 4.7k 0.9× 1.6k 0.6× 1.1k 0.6× 861 0.8× 649 0.6× 522 12.5k
Younes Ghasemi 5.3k 1.1× 1.1k 0.4× 2.1k 1.1× 1.2k 1.2× 2.1k 2.0× 432 12.5k
Jun Wang 3.3k 0.7× 1.4k 0.5× 1.9k 1.0× 858 0.8× 1.3k 1.2× 526 9.7k
Dongzhi Wei 8.6k 1.7× 1.6k 0.6× 2.5k 1.3× 983 0.9× 654 0.6× 580 12.8k
Chao Wang 6.9k 1.4× 1.7k 0.6× 1.3k 0.7× 644 0.6× 924 0.9× 853 15.3k
Yanbo Wang 3.0k 0.6× 836 0.3× 1.1k 0.6× 1.7k 1.6× 880 0.9× 311 10.8k
Hiromi Yoshida 3.6k 0.7× 1.4k 0.5× 513 0.3× 729 0.7× 788 0.8× 426 9.9k
Naïf Abdullah Al-Dhabi 4.0k 0.8× 3.8k 1.4× 1.9k 1.0× 2.2k 2.1× 3.3k 3.2× 477 15.8k

Countries citing papers authored by Kunlun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kunlun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunlun Huang

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

All Works

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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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2026