Jun Kong

530 total citations
13 papers, 124 citations indexed

About

Jun Kong is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Jun Kong has authored 13 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Jun Kong's work include RNA Interference and Gene Delivery (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). Jun Kong is often cited by papers focused on RNA Interference and Gene Delivery (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). Jun Kong collaborates with scholars based in China and Australia. Jun Kong's co-authors include Hong Wang, Lukui Chen, Wanghao Chen, Guilong Zhang, Xiaoyuan Guo, Yongbo Yu, Hang Yin, Yaling Hu, Xiangxi Wang and Xuefei Guo and has published in prestigious journals such as Biomaterials, Clinical Cancer Research and Journal of Pharmaceutical Sciences.

In The Last Decade

Jun Kong

12 papers receiving 123 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Kong China 7 46 31 18 16 16 13 124
Jonathan De Smedt Belgium 8 88 1.9× 10 0.3× 22 1.2× 7 0.4× 17 1.1× 11 177
Hamed Rahmani Youshanlouei Iran 6 81 1.8× 10 0.3× 5 0.3× 40 2.5× 7 0.4× 9 144
Poornachander R. Guda United States 9 91 2.0× 7 0.2× 14 0.8× 3 0.2× 4 0.3× 13 154
José Ignacio Fernández-Velasco Spain 8 48 1.0× 18 0.6× 12 0.7× 6 0.4× 8 0.5× 19 172
Silvia Presas‐Rodríguez Spain 8 39 0.8× 9 0.3× 18 1.0× 6 0.4× 8 0.5× 21 177
Alessia Zotta Italy 8 71 1.5× 22 0.7× 9 0.5× 5 0.3× 13 187
Kathryn L. Fowler United States 8 67 1.5× 3 0.1× 7 0.4× 6 0.4× 8 0.5× 15 211
Wesley Tung United States 4 49 1.1× 7 0.2× 11 0.6× 20 1.3× 4 126
Adam R. Shoffner United States 6 72 1.6× 11 0.4× 2 0.1× 5 0.3× 10 0.6× 8 131
Elizabeth McDonough United States 7 40 0.9× 9 0.3× 10 0.6× 16 1.0× 1 0.1× 10 108

Countries citing papers authored by Jun Kong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kong

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

All Works

13 of 13 papers shown
1.
Wang, Hong, et al.. (2025). Nose-to-brain delivery of transferrin-modified carmustine-loaded iron nanoparticles for enhanced glioblastoma treatment. Journal of drug targeting. 33(10). 1880–1891. 1 indexed citations
2.
Liu, Huandong, Jun Kong, Hong Wang, et al.. (2023). Intratumor Injection of Thermosensitive Polypeptide with Resveratrol Inhibits Glioblastoma Growth. Tissue Engineering Part C Methods. 29(3). 103–109. 6 indexed citations
3.
Zhao, Yingchi, Ming Kuang, Junhong Li, et al.. (2021). Publisher Correction: SARS-CoV-2 spike protein interacts with and activates TLR4. Cell Research. 31(7). 825–825. 29 indexed citations
4.
5.
Wang, Hong, et al.. (2021). A Magnetic T7 Peptide&AS1411 Aptamer-Modified Microemulsion for Triple Glioma-Targeted Delivery of Shikonin and Docetaxel. Journal of Pharmaceutical Sciences. 110(8). 2946–2954. 15 indexed citations
6.
Xu, Qun, et al.. (2021). Design and optimisation of a small-molecule TLR2/4 antagonist for anti-tumour therapy. RSC Medicinal Chemistry. 12(10). 1771–1779. 2 indexed citations
7.
Liow, Elizabeth, Cameron McLaren, Jun Kong, et al.. (2021). Abstract P19: Systemic anticancer treatment changes at the start of the COVID-19 pandemic in a large Australian metropolitan health service. Clinical Cancer Research. 27(6_Supplement). P19–P19. 1 indexed citations
8.
Wang, Zan, et al.. (2020). Fatal and Rapid Progressive Isolated Cerebral Mucormycosis Involving the Bilateral Basal Ganglia: A Case Report. Frontiers in Neurology. 11. 295–295. 9 indexed citations
9.
Xu, Qun, et al.. (2020). Immune profiling before treatment is predictive of TLR9-induced antitumor efficacy. Biomaterials. 263. 120379–120379.
10.
11.
Zhang, Guilong, Xiaoyuan Guo, Lukui Chen, et al.. (2018). Interferon-γ Promotes Neuronal Repair by Transplanted Neural Stem Cells in Ischemic Rats. Stem Cells and Development. 27(5). 355–366. 22 indexed citations
12.
Zhang, Guilong, Lukui Chen, Wanghao Chen, et al.. (2018). Neural Stem Cells Alleviate Inflammation via Neutralization of IFN-γ Negative Effect in Ischemic Stroke Model. Journal of Biomedical Nanotechnology. 14(6). 1178–1188. 24 indexed citations
13.
Kong, Jun, et al.. (2016). Linezolid-associated reticulocytopenia. Annals of Hematology. 95(12). 2095–2097. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jonathan De Smedt Breakdown of academic impact, for papers by Hamed Rahmani Youshanlouei Breakdown of academic impact, for papers by Poornachander R. Guda Breakdown of academic impact, for papers by José Ignacio Fernández-Velasco Breakdown of academic impact, for papers by Silvia Presas‐Rodríguez Breakdown of academic impact, for papers by Alessia Zotta Breakdown of academic impact, for papers by Kathryn L. Fowler Breakdown of academic impact, for papers by Wesley Tung Breakdown of academic impact, for papers by Adam R. Shoffner Breakdown of academic impact, for papers by Elizabeth McDonough
Rankless by CCL
2026