Jun Huang

5.5k total citations · 3 hit papers
150 papers, 4.4k citations indexed

About

Jun Huang is a scholar working on Molecular Biology, Oncology and Biomaterials. According to data from OpenAlex, Jun Huang has authored 150 papers receiving a total of 4.4k 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), Wound Healing and Treatments (13 papers) and Electrospun Nanofibers in Biomedical Applications (13 papers). Jun Huang is often cited by papers focused on Nanoparticle-Based Drug Delivery (15 papers), Wound Healing and Treatments (13 papers) and Electrospun Nanofibers in Biomedical Applications (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, Li Xu, Xu Teng, Hang Su, Jian‐Rong Yang, Shi‐Mei Zhuang, 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

144 papers receiving 4.3k citations

Hit Papers

MicroRNA-101, Down-regulated in Hepatocellular Carcinoma,... 2009 2026 2014 2020 2009 2022 2024 100 200 300 400 500

Peers

Jun Huang
Comparison fields: 5 of 140
  • Molecular Biology 1.5k
  • Biomaterials 1.1k
  • Cancer Research 911
  • Biomedical Engineering 898
  • Rehabilitation 566
Replace Lang Chen with:
Lang Chen China
Bobin Mi China
Lei Qiang China
Xiaozhou Mou China
Li Yang China
Jie Gao China
Ping Wu China
Yong Woo Cho South Korea
Reza Rahbarghazi‬ Iran
Lang Chen China View profile →
Citations per field, relative to Jun Huang
Jun Huang · 1×
Citations per year, relative to Jun Huang
Jun Huang · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 50
4 7
5 1
6
Novel Glucose-Responsive Antioxidant Hybrid Hydrogel for Enhanced Diabetic Wound Repair breakdown →
206
7 28
8 9
9 18
10 22
11 32
12 41
13 150
14 47
15 37
16 1
17 2
18 1
19
MicroRNA-101, Down-regulated in Hepatocellular Carcinoma, Promotes Apoptosis and Suppresses Tumorigenicity breakdown →
533
20 18

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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