Jun Huang

210 total papers · 5.4k total citations
149 papers, 4.3k citations indexed

About

Jun Huang is a scholar working on Molecular Biology, Oncology and Biomaterials. According to data from OpenAlex, Jun Huang has authored 149 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 31 papers in Oncology and 29 papers in Biomaterials. Recurrent topics in Jun Huang's work include Nanoparticle-Based Drug Delivery (15 papers), Electrospun Nanofibers in Biomedical Applications (13 papers) and Wound Healing and Treatments (13 papers). Jun Huang is often cited by papers focused on Nanoparticle-Based Drug Delivery (15 papers), Electrospun Nanofibers in Biomedical Applications (13 papers) and Wound Healing and Treatments (13 papers). Jun Huang collaborates with scholars based in China, United States and Australia. Jun Huang's co-authors include Jun Wu, Yunfei Yuan, Jun Wu, Jian‐Rong Yang, Xu Teng, Shi‐Mei Zhuang, Li Xu, Hang Su, Xinru You and Jun Wu and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Applied Physics Letters.

In The Last Decade

Jun Huang

143 papers receiving 4.3k citations

Hit Papers

MicroRNA-101, Down-regula... 2009 2026 2014 2020 2009 2022 2024 2024 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jun Huang 1.5k 1.1k 914 892 545 149 4.3k
Fangxia Guan 2.2k 1.4× 1.1k 1.0× 706 0.8× 947 1.1× 824 1.5× 157 6.2k
Raquel Soares 2.0k 1.3× 737 0.7× 543 0.6× 692 0.8× 412 0.8× 183 5.7k
Lei Qiang 2.2k 1.4× 701 0.6× 751 0.8× 1.0k 1.2× 523 1.0× 150 5.2k
Xiaolin Li 1.5k 1.0× 844 0.8× 783 0.9× 1.5k 1.7× 408 0.7× 173 6.1k
Bobin Mi 1.6k 1.0× 957 0.9× 631 0.7× 1.1k 1.2× 1.4k 2.6× 149 5.0k
Lang Chen 1.4k 0.9× 615 0.5× 539 0.6× 618 0.7× 1.1k 1.9× 116 4.0k
John M. Whitelock 2.6k 1.7× 870 0.8× 1000 1.1× 679 0.8× 231 0.4× 150 6.6k
Wei Zhang 1.8k 1.2× 1.5k 1.3× 674 0.7× 1.8k 2.0× 398 0.7× 183 6.9k
Hairong Wang 1.9k 1.2× 1.1k 1.0× 778 0.9× 2.4k 2.7× 463 0.8× 183 5.9k
Yuan Xiong 2.5k 1.6× 888 0.8× 693 0.8× 1.2k 1.4× 1.3k 2.4× 184 6.5k

Countries citing papers authored by Jun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Huang. A scholar is included among the top collaborators of Jun 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 Jun Huang. Jun 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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