Longguang Tang

3.1k total citations · 2 hit papers
62 papers, 2.5k citations indexed

About

Longguang Tang is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Longguang Tang has authored 62 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 23 papers in Molecular Biology and 16 papers in Materials Chemistry. Recurrent topics in Longguang Tang's work include Nanoplatforms for cancer theranostics (26 papers), Nanoparticle-Based Drug Delivery (14 papers) and Advanced Nanomaterials in Catalysis (13 papers). Longguang Tang is often cited by papers focused on Nanoplatforms for cancer theranostics (26 papers), Nanoparticle-Based Drug Delivery (14 papers) and Advanced Nanomaterials in Catalysis (13 papers). Longguang Tang collaborates with scholars based in China, United States and Singapore. Longguang Tang's co-authors include Xiaoyuan Chen, Zijian Zhou, Xiaohong Chen, Fantian Zeng, Sureya Nijiati, Wenpei Fan, Zhantong Wang, Zhèn Yáng, Ling Li and Orit Jacobson and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Longguang Tang

58 papers receiving 2.5k citations

Hit Papers

Ferroptosis Detection: From Approaches to Applications 2023 2026 2024 2025 2023 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longguang Tang China 30 1.2k 932 660 418 383 62 2.5k
Weier Bao China 19 1.1k 0.9× 706 0.8× 642 1.0× 427 1.0× 326 0.9× 35 2.1k
Yue Jiang China 29 1.6k 1.3× 718 0.8× 770 1.2× 709 1.7× 571 1.5× 84 2.7k
Liqian Gao China 28 879 0.7× 1.2k 1.3× 499 0.8× 506 1.2× 218 0.6× 83 2.6k
Chunshun Zhao China 29 1.1k 0.9× 429 0.5× 532 0.8× 535 1.3× 326 0.9× 79 2.1k
Fanling Meng China 25 1.1k 0.9× 1.0k 1.1× 582 0.9× 600 1.4× 294 0.8× 57 2.8k
Chen Xiao China 32 1.5k 1.2× 1.2k 1.2× 740 1.1× 802 1.9× 353 0.9× 81 3.2k
Ludan Yue China 26 1.1k 0.9× 634 0.7× 664 1.0× 745 1.8× 253 0.7× 47 2.3k
F. Du China 29 909 0.7× 965 1.0× 977 1.5× 733 1.8× 141 0.4× 81 2.8k
Jinbing Xie China 23 1.0k 0.8× 1.1k 1.2× 444 0.7× 962 2.3× 190 0.5× 51 2.8k

Countries citing papers authored by Longguang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Longguang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longguang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Longguang Tang. A scholar is included among the top collaborators of Longguang Tang 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 Longguang Tang. Longguang Tang 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
1.
Li, Yang, Yuting Lu, Tao Wu, et al.. (2025). An albumin-prodrug injectable formulation for synergistic cancer immunotherapy. Journal of Colloid and Interface Science. 686. 1019–1032. 1 indexed citations
2.
Yang, Jun, Keda Yang, Peifen Fu, et al.. (2025). Harnessing nanochaperone-triggered ferritinophagy for targeted protein degradation and breast cancer therapy. Chemical Engineering Journal. 525. 169802–169802.
3.
Li, Li, Hanxi Wang, Yuh‐Min Cheng, et al.. (2025). Nanomedicine for chronic pain management: From pathophysiology to engineered drug delivery systems. Materials Today Bio. 33. 101976–101976.
4.
Syeda, Madiha Zahra, Yang Li, He Bai, et al.. (2025). Platelet-hitchhiking triiodothyronine nanoparticles for enhanced therapy of cerebral ischemia-reperfusion injury. Journal of Colloid and Interface Science. 700(Pt 1). 138290–138290. 1 indexed citations
5.
Cheng, Qian, Yufei Zhang, Xinyu Zou, et al.. (2025). Lipid nanoparticles hijack neutrophils for enhanced anti-inflammatory and stroke therapy. Acta Biomaterialia. 206. 283–296.
6.
Zeng, Fantian, Sureya Nijiati, Changrong Shi, et al.. (2024). Ultrasmall Nanodots with Dual Anti‐Ferropototic Effect for Acute Kidney Injury Therapy. Advanced Science. 11(39). e2403305–e2403305. 6 indexed citations
7.
Zhang, Junjie, Jiani Zhou, Longguang Tang, et al.. (2024). Custom‐Design of Multi‐Stimuli‐Responsive Degradable Silica Nanoparticles for Advanced Cancer‐Specific Chemotherapy. Small. 20(35). e2400353–e2400353. 26 indexed citations
8.
Li, Yingying, Yuhan Wang, Jiaqi Cao, et al.. (2023). Discovery of a Selective and Orally Bioavailable FGFR2 Degrader for Treating Gastric Cancer. Journal of Medicinal Chemistry. 66(11). 7438–7453. 24 indexed citations
9.
Zeng, Fantian, et al.. (2023). Ferroptosis Detection: From Approaches to Applications. Angewandte Chemie International Edition. 62(35). e202300379–e202300379. 160 indexed citations breakdown →
10.
Li, Yang, Yuting Lu, Huiping Liu, et al.. (2023). Nanodiamond in cancer theranostics. SHILAP Revista de lepidopterología. 2(1). e9130019–e9130019. 12 indexed citations
11.
Zhang, Yufei, Madiha Zahra Syeda, Jian Xu, et al.. (2023). LAT1 targeted brain delivery of temozolomide and sorafenib for effective glioma therapy. Nano Research. 16(7). 9743–9751. 18 indexed citations
12.
Mu, Qingchun, Madiha Zahra Syeda, Min Zhang, et al.. (2023). Ligustrazine Nanoparticle Hitchhiking on Neutrophils for Enhanced Therapy of Cerebral Ischemia‐Reperfusion Injury. Advanced Science. 10(19). e2301348–e2301348. 59 indexed citations
13.
Lu, Yuting, Yang Li, Xiaoling Zhu, et al.. (2023). Nano-immunotherapy for lung cancer. SHILAP Revista de lepidopterología. 2(1). e9130018–e9130018. 20 indexed citations
14.
Xu, Xiaoling, Xi‐Chen Wu, Yuelong Cao, et al.. (2022). Nanodevices for deep cartilage penetration. Acta Biomaterialia. 154. 23–48. 28 indexed citations
15.
Mao, Lianzhi, et al.. (2022). Hesperetin ameliorates glioblastoma by inhibiting proliferation, inducing apoptosis, and suppressing metastasis. Translational Cancer Research. 11(6). 1781–1794. 12 indexed citations
16.
Mu, Qingchun, Yue Lv, Chunmei Luo, et al.. (2021). Research Progress on the Functions and Mechanism of circRNA in Cisplatin Resistance in Tumors. Frontiers in Pharmacology. 12. 709324–709324. 29 indexed citations
17.
Tang, Wei, Zhèn Yáng, Liangcan He, et al.. (2021). A hybrid semiconducting organosilica-based O2 nanoeconomizer for on-demand synergistic photothermally boosted radiotherapy. Nature Communications. 12(1). 523–523. 111 indexed citations
18.
Li, Shuang, Yang Zhang, Ye Tian, et al.. (2021). Smart NIR-II croconaine dye-peptide for enhanced photo-sonotheranostics of hepatocellular carcinoma. Theranostics. 12(1). 76–86. 50 indexed citations
19.
Zhou, Zijian, Hongzhang Deng, Weijing Yang, et al.. (2020). Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging. Nature Communications. 11(1). 3032–3032. 77 indexed citations
20.
Tang, Longguang, Xiaoli Sun, Xiaoli Sun, et al.. (2018). Radiolabeled Angiogenesis-Targeting Croconaine Nanoparticles for Trimodality Imaging Guided Photothermal Therapy of Glioma. ACS Applied Nano Materials. 1(4). 1741–1749. 29 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

Rankless by CCL
2026