Weiping Gao

3.6k total citations
69 papers, 3.0k citations indexed

About

Weiping Gao is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Weiping Gao has authored 69 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Biomedical Engineering and 19 papers in Biomaterials. Recurrent topics in Weiping Gao's work include Nanoparticle-Based Drug Delivery (16 papers), Nanoplatforms for cancer theranostics (14 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Weiping Gao is often cited by papers focused on Nanoparticle-Based Drug Delivery (16 papers), Nanoplatforms for cancer theranostics (14 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Weiping Gao collaborates with scholars based in China, United States and Australia. Weiping Gao's co-authors include Xinyu Liu, Wenguo Zhao, Jin Hu, Jiawei Sun, Mengmeng Sun, Ashutosh Chilkoti, Jing Liu, Zhuoran Wang, Wenge Liu and Michael R. Zalutsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Weiping Gao

69 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiping Gao China 35 1.1k 934 933 802 581 69 3.0k
Yan Lee South Korea 40 1.0k 1.0× 1.3k 1.4× 2.8k 3.0× 748 0.9× 405 0.7× 131 4.9k
Evan A. Scott United States 30 734 0.7× 770 0.8× 813 0.9× 468 0.6× 405 0.7× 85 2.6k
Steven R. Little United States 43 1.3k 1.2× 1.5k 1.6× 2.2k 2.4× 427 0.5× 373 0.6× 129 5.7k
Achim Goepferich Germany 41 1.6k 1.5× 2.1k 2.3× 2.3k 2.5× 430 0.5× 544 0.9× 124 6.1k
Francisco Javier Arias Spain 37 904 0.9× 1.4k 1.5× 822 0.9× 442 0.6× 572 1.0× 129 4.1k
Ji Sun Park South Korea 35 1.3k 1.2× 1.4k 1.5× 1.4k 1.5× 364 0.5× 600 1.0× 153 4.8k
James D. Byrne United States 19 1.2k 1.2× 1.4k 1.5× 951 1.0× 215 0.3× 423 0.7× 45 2.9k
Xuefeng Hu China 35 1.7k 1.6× 1.1k 1.1× 1.0k 1.1× 218 0.3× 448 0.8× 103 3.5k
Yong Qiu China 21 1.7k 1.6× 1.6k 1.7× 523 0.6× 754 0.9× 387 0.7× 235 5.8k
Chun Wang China 25 722 0.7× 695 0.7× 785 0.8× 268 0.3× 536 0.9× 114 2.6k

Countries citing papers authored by Weiping Gao

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Weiping Gao. A scholar is included among the top collaborators of Weiping Gao 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 Weiping Gao. Weiping Gao 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.
Qi, Yuan, et al.. (2025). Thermo‐pH‐Sensitive Polypeptides Boost Protein Drug's Tumor Permeation and Pharmacology. Small. 21(20). e2501787–e2501787. 2 indexed citations
2.
3.
Sun, Jiawei, et al.. (2023). Active-targeting long-acting protein-glycopolymer conjugates for selective cancer therapy. Journal of Controlled Release. 356. 175–184. 10 indexed citations
4.
Huang, Wenchao, et al.. (2023). Spatiotemporally‐Programmed Dual‐Acid‐Sensitive Nanoworms of Albumin‐Poly(tertiary amine)‐Doxorubicin Conjugates for Enhanced Cancer Chemotherapy. Advanced Healthcare Materials. 12(31). e2301890–e2301890. 2 indexed citations
5.
Zhang, Fan, et al.. (2023). Thermoresponsive Polypeptide Fused L‐Asparaginase with Mitigated Immunogenicity and Enhanced Efficacy in Treating Hematologic Malignancies. Advanced Science. 10(23). e2300469–e2300469. 16 indexed citations
6.
Done, Nicolae, Kunal K. Gandhi, Elyse Swallow, et al.. (2021). PSY6 Differences in All-Cause Health Care Costs of Alopecia Areata in the United States by Patient Subgroups: A Latent Class Approach. Value in Health. 24. S230–S230. 1 indexed citations
7.
Liu, Xinyu & Weiping Gao. (2020). Precision Conjugation: An Emerging Tool for Generating Protein–Polymer Conjugates. Angewandte Chemie. 133(20). 11124–11135. 1 indexed citations
8.
Sun, Jiawei, Xinyu Liu, Jianwen Guo, Wenguo Zhao, & Weiping Gao. (2020). Pyridine-2,6-dicarboxaldehyde-Enabled N-Terminal In Situ Growth of Polymer–Interferon α Conjugates with Significantly Improved Pharmacokinetics and In Vivo Bioactivity. ACS Applied Materials & Interfaces. 13(1). 88–96. 11 indexed citations
9.
Xue, Wei, et al.. (2020). Evaluation on application of intelligent voice call system in popularizing knowledge of prevention and control of COVID-19 for chronic disease patients in the community. 19(5). 388–393. 1 indexed citations
10.
Liu, Xinyu & Weiping Gao. (2020). Precision Conjugation: An Emerging Tool for Generating Protein–Polymer Conjugates. Angewandte Chemie International Edition. 60(20). 11024–11035. 72 indexed citations
11.
Wang, Zhuoran, Jianwen Guo, Xinyu Liu, Jiawei Sun, & Weiping Gao. (2020). Temperature-triggered micellization of interferon alpha-diblock copolypeptide conjugate with enhanced stability and pharmacology. Journal of Controlled Release. 328. 444–453. 24 indexed citations
12.
Liu, Xinyu, et al.. (2019). Polymerization-Induced Coassembly of Enzyme–Polymer Conjugates into Comicelles with Tunable and Enhanced Cascade Activity. Nano Letters. 20(2). 1383–1387. 64 indexed citations
14.
Liu, Xinyu, Jiawei Sun, & Weiping Gao. (2018). Site-selective protein modification with polymers for advanced biomedical applications. Biomaterials. 178. 413–434. 71 indexed citations
15.
Wang, Zhuoran, Qiong He, Wenguo Zhao, Jianwen Luo, & Weiping Gao. (2017). Tumor-homing, pH- and ultrasound-responsive polypeptide-doxorubicin nanoconjugates overcome doxorubicin resistance in cancer therapy. Journal of Controlled Release. 264. 66–75. 64 indexed citations
16.
Wu, Jun, Weiping Gao, Zhuoyue Song, et al.. (2017). Anticancer activity of polysaccharide from Glehnia littoralis on human lung cancer cell line A549. International Journal of Biological Macromolecules. 106. 464–472. 50 indexed citations
17.
Hu, Jin, Wenguo Zhao, Yan Gao, et al.. (2015). Site-specific in situ growth of a cyclized protein-polymer conjugate with improved stability and tumor retention. Biomaterials. 47. 13–19. 38 indexed citations
18.
Zhang, H.-B., Meng Xu, Simin Xu, et al.. (2013). Ultrastructural uncoupling between T-tubules and sarcoplasmic reticulum in human heart failure. Cardiovascular Research. 98(2). 269–276. 76 indexed citations
19.
Wong, Chun‐Ka, Weiping Gao, Ralph Stewart, et al.. (2011). The prognostic meaning of the full spectrum of aVR ST-segment changes in acute myocardial infarction. European Heart Journal. 33(3). 384–392. 39 indexed citations
20.
Wong, Chun‐Ka, Weiping Gao, Ralph Stewart, et al.. (2010). aVR ST elevation: an important but neglected sign in ST elevation acute myocardial infarction. European Heart Journal. 31(15). 1845–1853. 40 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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