Junqiang Ding

561 total citations
18 papers, 457 citations indexed

About

Junqiang Ding is a scholar working on Immunology, Molecular Biology and Biomaterials. According to data from OpenAlex, Junqiang Ding has authored 18 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Biomaterials. Recurrent topics in Junqiang Ding's work include Nanoparticle-Based Drug Delivery (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Immunotherapy and Immune Responses (5 papers). Junqiang Ding is often cited by papers focused on Nanoparticle-Based Drug Delivery (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Immunotherapy and Immune Responses (5 papers). Junqiang Ding collaborates with scholars based in China and South Korea. Junqiang Ding's co-authors include Yanzhi Song, Xinrong Liu, Xihui Gao, Yihui Deng, Xiaoxiao Liu, Wuyuan Lu, Chongbing Liao, Mingqi Liu, Yawei Hu and Yuqing Su and has published in prestigious journals such as ACS Nano, Biomaterials and Advanced Drug Delivery Reviews.

In The Last Decade

Junqiang Ding

18 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junqiang Ding China 12 211 156 147 132 66 18 457
Meilyn Sylvestre United States 10 286 1.4× 192 1.2× 187 1.3× 252 1.9× 37 0.6× 14 610
Luke J. Kubiatowicz United States 11 370 1.8× 141 0.9× 125 0.9× 196 1.5× 49 0.7× 17 623
Alexandra Novak Austria 4 309 1.5× 110 0.7× 103 0.7× 72 0.5× 79 1.2× 5 550
Adam A. Walters United Kingdom 18 461 2.2× 187 1.2× 155 1.1× 236 1.8× 25 0.4× 33 842
Chelsea N. Fries United States 10 255 1.2× 167 1.1× 110 0.7× 72 0.5× 63 1.0× 12 423
Daniel Yuen Australia 11 367 1.7× 192 1.2× 121 0.8× 120 0.9× 21 0.3× 17 610
Utsarga Adhikary United States 9 157 0.7× 65 0.4× 122 0.8× 133 1.0× 82 1.2× 11 396
Sean H. Kelly United States 15 298 1.4× 221 1.4× 158 1.1× 120 0.9× 121 1.8× 17 570
Marie‐Luce De Temmerman Belgium 8 234 1.1× 199 1.3× 129 0.9× 128 1.0× 22 0.3× 8 528
Eric Voltà‐Durán Spain 13 301 1.4× 78 0.5× 118 0.8× 58 0.4× 31 0.5× 33 467

Countries citing papers authored by Junqiang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Junqiang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqiang Ding

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

All Works

18 of 18 papers shown
1.
Ding, Junqiang, Xiaoxiao Liu, Sha Li, et al.. (2024). Enhancing the Antitumor Efficacy of Oncolytic Adenovirus Through Sonodynamic Therapy-Augmented Virus Replication. ACS Nano. 18(28). 18282–18298. 9 indexed citations
2.
Liu, Xiaoxiao, Junqiang Ding, Hanchang Zhang, et al.. (2024). Nanosynergist-engineered oncolytic adenovirus enhancing immune-virotherapy efficacy for glioblastoma via interrupting antiviral responses. Nano Today. 57. 102328–102328. 2 indexed citations
3.
Liu, Xiaoxiao, Yaqi Yang, Junqiang Ding, et al.. (2024). Peptide-TLR7/8a-Coordinated DNA Vaccines Elicit Enhanced Immune Responses against Infectious Diseases. ACS Biomaterials Science & Engineering. 10(7). 4374–4387. 1 indexed citations
4.
Li, Changzhi, Xueying Tang, Junqiang Ding, et al.. (2022). Sialic acid-mediated photochemotherapy enhances infiltration of CD8+ T cells from tumor-draining lymph nodes into tumors of immunosenescent mice. Acta Pharmaceutica Sinica B. 13(1). 425–439. 11 indexed citations
5.
Liu, Min, Jie Li, Dan Zhao, et al.. (2022). Branched PEG-modification: A new strategy for nanocarriers to evade of the accelerated blood clearance phenomenon and enhance anti-tumor efficacy. Biomaterials. 283. 121415–121415. 64 indexed citations
6.
Li, Changzhi, Xueying Tang, Ying Qin, et al.. (2022). The Fate of Sialic Acid and PEG Modified Epirubicin Liposomes in Aged versus Young Cells and Tumor Mice Models. Pharmaceutics. 14(3). 545–545. 9 indexed citations
7.
Liu, Xiaoxiao, Junqiang Ding, Sha Li, et al.. (2022). Cryo-Shocked Cancer Cells as an Oncolytic Adenovirus Reservoir for Glioblastoma Immunotherapy. ACS Applied Materials & Interfaces. 15(1). 67–76. 16 indexed citations
8.
Tang, Xueying, Junqiang Ding, Yang Wang, et al.. (2021). Sequential administration of sialic acid-modified liposomes as carriers for epirubicin and zoledronate elicit stronger antitumor effects with reduced toxicity. International Journal of Pharmaceutics. 602. 120552–120552. 24 indexed citations
9.
Ding, Junqiang, Mingqi Liu, Yuqing Su, et al.. (2021). Sialic acid conjugate-modified liposomes enable tumor homing of epirubicin via neutrophil/monocyte infiltration for tumor therapy. Acta Biomaterialia. 134. 702–715. 51 indexed citations
10.
Gao, Xihui, et al.. (2021). Defensins: The natural peptide antibiotic. Advanced Drug Delivery Reviews. 179. 114008–114008. 105 indexed citations
11.
Liu, Mengyang, Yuqing Su, Meng Chen, et al.. (2021). A preliminary study of the innate immune memory of Kupffer cells induced by PEGylated nanoemulsions. Journal of Controlled Release. 343. 657–671. 20 indexed citations
12.
Gao, Xihui, et al.. (2020). Virus‐mimetic systems for cancer diagnosis and therapy. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 13(3). e1692–e1692. 7 indexed citations
13.
Ding, Junqiang, Dan Zhao, Yawei Hu, et al.. (2019). Terminating the renewal of tumor-associated macrophages: A sialic acid-based targeted delivery strategy for cancer immunotherapy. International Journal of Pharmaceutics. 571. 118706–118706. 33 indexed citations
14.
Liu, Mingqi, Xueying Tang, Junqiang Ding, et al.. (2019). A Sialylated-Bortezomib Prodrug Strategy Based on a Highly Expressed Selectin Target for the Treatment of Leukemia or Solid Tumors. Pharmaceutical Research. 36(12). 176–176. 9 indexed citations
15.
Liu, Mengyang, Yanyi Chu, Huan Liu, et al.. (2019). Accelerated Blood Clearance of Nanoemulsions Modified with PEG-Cholesterol and PEG-Phospholipid Derivatives in Rats: The Effect of PEG-Lipid Linkages and PEG Molecular Weights. Molecular Pharmaceutics. 17(4). 1059–1070. 39 indexed citations
16.
Su, Yuqing, Mengyang Liu, Yan Xiong, et al.. (2018). Effects of stability of PEGylated micelles on the accelerated blood clearance phenomenon. Drug Delivery and Translational Research. 9(1). 66–75. 22 indexed citations
17.
Zheng, Huangliang, Jiaqi Li, Xiang Luo, et al.. (2018). Murine RAW264.7 cells as cellular drug delivery carriers for tumor therapy: a good idea?. Cancer Chemotherapy and Pharmacology. 83(2). 361–374. 15 indexed citations
18.
Liu, Mingqi, Xiang Luo, Qiujun Qiu, et al.. (2018). Redox- and pH-Sensitive Glycan (Polysialic Acid) Derivatives and F127 Mixed Micelles for Tumor-Targeted Drug Delivery. Molecular Pharmaceutics. 15(12). 5534–5545. 20 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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