Jingkun Bai

1.0k total citations
48 papers, 827 citations indexed

About

Jingkun Bai is a scholar working on Biomaterials, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jingkun Bai has authored 48 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomaterials, 25 papers in Biomedical Engineering and 17 papers in Molecular Biology. Recurrent topics in Jingkun Bai's work include Nanoplatforms for cancer theranostics (25 papers), Supramolecular Self-Assembly in Materials (16 papers) and Nanoparticle-Based Drug Delivery (11 papers). Jingkun Bai is often cited by papers focused on Nanoplatforms for cancer theranostics (25 papers), Supramolecular Self-Assembly in Materials (16 papers) and Nanoparticle-Based Drug Delivery (11 papers). Jingkun Bai collaborates with scholars based in China, United Kingdom and Portugal. Jingkun Bai's co-authors include Baolong Zhou, Zhongying Gong, Xiaoying Liu, Zhiqin Gao, Juanjuan Cao, Hai Xu, Henry Cox, Jingxin Wang, Zexin Hong and Cuixia Chen and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Nanoscale.

In The Last Decade

Jingkun Bai

47 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingkun Bai China 19 448 327 301 125 114 48 827
Soumen Saha United States 16 400 0.9× 216 0.7× 369 1.2× 90 0.7× 76 0.7× 27 914
Beibei Xie China 22 191 0.4× 451 1.4× 331 1.1× 295 2.4× 114 1.0× 59 1.1k
Liping Chu China 19 664 1.5× 541 1.7× 605 2.0× 214 1.7× 195 1.7× 27 1.3k
Bapurao Surnar United States 19 378 0.8× 321 1.0× 227 0.8× 231 1.8× 198 1.7× 34 971
Biyuan Wu China 9 295 0.7× 345 1.1× 251 0.8× 261 2.1× 67 0.6× 10 913
Wenjun Le China 17 440 1.0× 839 2.6× 482 1.6× 461 3.7× 71 0.6× 40 1.5k
Bin Luo China 19 159 0.4× 261 0.8× 491 1.6× 246 2.0× 133 1.2× 45 978
Yongxin Li China 13 267 0.6× 203 0.6× 290 1.0× 276 2.2× 129 1.1× 39 794
Jiaojun Wei China 17 272 0.6× 502 1.5× 231 0.8× 160 1.3× 73 0.6× 26 883
Wan‐Ru Zhuang China 10 189 0.4× 417 1.3× 379 1.3× 170 1.4× 97 0.9× 16 943

Countries citing papers authored by Jingkun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jingkun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingkun Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jingkun Bai. A scholar is included among the top collaborators of Jingkun Bai 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 Jingkun Bai. Jingkun Bai 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
3.
Huang, Haiqin, Li Bao, Zhe Yu, et al.. (2025). pH-responsive morphological transition: Peptide amphiphile-based nanovehicles inhibit drug efflux and modulate cancer-associated fibroblasts to combat bladder cancer. Chemical Engineering Journal. 506. 160271–160271. 1 indexed citations
4.
Xu, Yu-Jie, Shuyi Liang, Kaiming Li, et al.. (2024). An inulin-based glycovesicle for pathogen-targeted drug delivery to ameliorate salmonellosis. International Journal of Biological Macromolecules. 267(Pt 2). 131656–131656. 7 indexed citations
5.
Gong, Zhongying, et al.. (2024). pH-responsive drug-loaded peptides enhance drug accumulation and promote apoptosis in tumor cells. Colloids and Surfaces B Biointerfaces. 239. 113954–113954. 5 indexed citations
6.
Liu, Yun, et al.. (2024). Targeted Drug Nanodelivery and Immunotherapy for Combating Tumor Resistance. Combinatorial Chemistry & High Throughput Screening. 28(4). 561–581.
7.
Yue, Qi, Min Wang, Jingkun Bai, et al.. (2024). Polyrotaxanated covalent organic frameworks based on β-cyclodextrin towards high-efficiency synergistic inactivation of bacterial pathogens. Chemical Engineering Journal. 486. 150345–150345. 19 indexed citations
8.
Li, Hongjie, Haiqin Huang, Haining Tan, et al.. (2024). Key processes in tumor metastasis and therapeutic strategies with nanocarriers: a review. Molecular Biology Reports. 51(1). 197–197. 2 indexed citations
9.
Peng, Shan, et al.. (2024). Design of Nanodrug Delivery Systems for Tumor Bone Metastasis. Current Pharmaceutical Design. 30(15). 1136–1148. 2 indexed citations
10.
Yuan, Jingsong, et al.. (2024). Covalent organic polyrotaxanes based on β-cyclodextrin for iodine capture. RSC Advances. 14(41). 30077–30083. 5 indexed citations
11.
Gong, Zhongying, et al.. (2024). Advances in the variations and biomedical applications of stimuli-responsive nanodrug delivery systems. Nanotechnology. 35(13). 132001–132001. 9 indexed citations
12.
Ma, Jihong, Haiyan Yang, Xue Tian, et al.. (2024). Matrix metalloproteinase 2‐responsive dual‐drug‐loaded self‐assembling peptides suppress tumor growth and enhance breast cancer therapy. Bioengineering & Translational Medicine. 9(6). e10702–e10702. 3 indexed citations
13.
Li, Hongjie, Peirong Zhang, Shan Peng, et al.. (2024). Targeted drug-loaded peptides induce tumor cell apoptosis and immunomodulation to increase antitumor efficacy. Biomaterials Advances. 160. 213852–213852. 4 indexed citations
14.
Peng, Shan, et al.. (2023). Recent progress in nanocarrier-based drug delivery systems for antitumour metastasis. European Journal of Medicinal Chemistry. 252. 115259–115259. 21 indexed citations
15.
Gao, Wei, Yun Liu, Yue Wang, et al.. (2023). pH-responsive morphology shifting peptides coloaded with paclitaxel and sorafenib inhibit angiogenesis and tumor growth. Materials & Design. 238. 112619–112619. 7 indexed citations
16.
Wang, Anping, Bo Lian, Tongyi Sun, et al.. (2022). PNA-Modified Liposomes Improve the Delivery Efficacy of CAPIRI for the Synergistic Treatment of Colorectal Cancer. Frontiers in Pharmacology. 13. 893151–893151. 8 indexed citations
17.
Gong, Zhongying, Xiaoying Liu, Baolong Zhou, et al.. (2021). Tumor acidic microenvironment-induced drug release of RGD peptide nanoparticles for cellular uptake and cancer therapy. Colloids and Surfaces B Biointerfaces. 202. 111673–111673. 48 indexed citations
18.
Wu, Fei, Weiyu Wang, Bin Jiang, et al.. (2020). Improved efficacy of doxorubicin delivery by a novel dual-ligand-modified liposome in hepatocellular carcinoma. Cancer Letters. 489. 163–173. 53 indexed citations
19.
Gong, Zhongying, Jun Lao, Feng Gao, et al.. (2020). pH-Triggered geometrical shape switching of a cationic peptide nanoparticle for cellular uptake and drug delivery. Colloids and Surfaces B Biointerfaces. 188. 110811–110811. 16 indexed citations
20.
Bai, Jingkun, et al.. (2016). Progress in Intelligent Materials Based on Enzyme Response. 30. 139. 1 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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