Longlong Tian

3.0k total citations · 1 hit paper
57 papers, 2.6k citations indexed

About

Longlong Tian is a scholar working on Biomedical Engineering, Materials Chemistry and Biomaterials. According to data from OpenAlex, Longlong Tian has authored 57 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Biomedical Engineering, 20 papers in Materials Chemistry and 10 papers in Biomaterials. Recurrent topics in Longlong Tian's work include Nanoplatforms for cancer theranostics (21 papers), Nanoparticle-Based Drug Delivery (8 papers) and Graphene and Nanomaterials Applications (8 papers). Longlong Tian is often cited by papers focused on Nanoplatforms for cancer theranostics (21 papers), Nanoparticle-Based Drug Delivery (8 papers) and Graphene and Nanomaterials Applications (8 papers). Longlong Tian collaborates with scholars based in China, United States and Hong Kong. Longlong Tian's co-authors include Zhuang Liu, Yu Chao, Ziliang Dong, Jun Xu, Kai Yang, Xuan Yi, Chao Liang, Liangzhu Feng, Lele Sun and Qian Chen and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nano Letters.

In The Last Decade

Longlong Tian

53 papers receiving 2.6k citations

Hit Papers

Combined local immunostimulatory radioisotope therapy and... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longlong Tian China 24 1.8k 764 589 534 479 57 2.6k
Jie Tang China 33 964 0.5× 691 0.9× 398 0.7× 838 1.6× 354 0.7× 116 3.4k
Karen Alt Australia 26 854 0.5× 614 0.8× 777 1.3× 627 1.2× 130 0.3× 56 2.7k
Wenting Shang China 30 1.3k 0.7× 687 0.9× 432 0.7× 566 1.1× 147 0.3× 55 2.3k
Wenzhi Ren China 36 2.0k 1.1× 1.5k 2.0× 906 1.5× 632 1.2× 117 0.2× 71 3.2k
Shun Shen China 38 2.7k 1.5× 1.3k 1.6× 1.8k 3.0× 1.3k 2.5× 307 0.6× 76 4.3k
Qihui Shi United States 40 1.7k 0.9× 2.1k 2.7× 342 0.6× 1.3k 2.4× 163 0.3× 61 5.3k
Wenting Li China 26 2.0k 1.1× 1.0k 1.4× 725 1.2× 565 1.1× 252 0.5× 61 2.6k
Weiqi Wang China 30 1.5k 0.8× 1.5k 1.9× 426 0.7× 616 1.2× 357 0.7× 124 3.4k
Shizhu Chen China 29 2.6k 1.4× 1.5k 2.0× 1.3k 2.2× 1.0k 1.9× 332 0.7× 47 4.0k
Yuhao Li China 33 1.8k 1.0× 1.9k 2.5× 404 0.7× 705 1.3× 74 0.2× 165 3.7k

Countries citing papers authored by Longlong Tian

Since Specialization
Citations

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

Fields of papers citing papers by Longlong Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longlong Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Longlong Tian. A scholar is included among the top collaborators of Longlong Tian 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 Longlong Tian. Longlong Tian 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.
Xu, Lin, et al.. (2025). YOLOv5s-Based Lightweight Object Recognition with Deep and Shallow Feature Fusion. Electronics. 14(5). 971–971. 1 indexed citations
2.
Zhang, Xiaoyang, et al.. (2025). Linking the Warburg effect to endometrial receptivity: metabolic parallels in embryo implantation. Frontiers in Cell and Developmental Biology. 13. 1683790–1683790.
3.
Liang, Wenbin, Hongyan Wan, Longlong Tian, et al.. (2025). Vascular‐Mimetic 2D Membranes with Hemoglobin Catalysis for Efficient Uranium Extraction. Advanced Materials. 38(1). e09989–e09989.
6.
Liang, Jing, et al.. (2024). Constructing Two‐Dimensional (2D) Heterostructure Channels with Engineered Biomembrane and Graphene for Precise Scandium Sieving. Advanced Materials. 36(30). e2404629–e2404629. 6 indexed citations
7.
Liang, Wenbin, Xin Zhang, Longlong Tian, et al.. (2024). Designing biomimetic two-dimensional channels for uranium separation from seawater. Chemical Science. 15(27). 10455–10463. 11 indexed citations
8.
Mao, Xiaonan, Lijuan Qian, Longlong Tian, et al.. (2024). Layered Bio-Inorganic MXene Membranes: A Green Approach for Uranium Extraction from Seawater Using Genetically Modified E. coli. Nano Letters. 24(47). 15151–15158. 8 indexed citations
9.
Wang, Liqin, Wei Liu, Kai Zhang, et al.. (2024). Imageable Brachytherapy with Chelator‐Free Radiolabeling Hydrogel. Advanced Healthcare Materials. 13(26). e2401438–e2401438. 6 indexed citations
10.
Zhang, Yugang, Feize Li, Kai Li, et al.. (2023). A Radioluminescent Metal–Organic Framework for Monitoring 225Ac in Vivo. Journal of the American Chemical Society. 145(27). 14679–14685. 20 indexed citations
11.
Liu, Tianqi, Xin Zhang, Jing Liang, et al.. (2023). Ultraflat Graphene Oxide Membranes with Newton-Ring Prepared by Vortex Shear Field for Ion Sieving. Nano Letters. 23(20). 9641–9650. 21 indexed citations
12.
Zhu, Yujie, Zhijuan Yang, Zijian Pan, et al.. (2022). Metallo-alginate hydrogel can potentiate microwave tumor ablation for synergistic cancer treatment. Science Advances. 8(31). eabo5285–eabo5285. 130 indexed citations
13.
Gao, Xudong, et al.. (2021). Graphene Quantum Dots prepared by Electron Beam Irradiation for Safe Fluorescence Imaging of Tumor. Nanotheranostics. 6(2). 205–214. 24 indexed citations
14.
Zhu, Yujie, Zhijuan Yang, Ziliang Dong, et al.. (2020). CaCO3-Assisted Preparation of pH-Responsive Immune-Modulating Nanoparticles for Augmented Chemo-Immunotherapy. Nano-Micro Letters. 13(1). 29–29. 93 indexed citations
15.
Chao, Yu, Ligeng Xu, Chao Liang, et al.. (2018). Combined local immunostimulatory radioisotope therapy and systemic immune checkpoint blockade imparts potent antitumour responses. Nature Biomedical Engineering. 2(8). 611–621. 440 indexed citations breakdown →
16.
Tian, Longlong, Qian Chen, Xuan Yi, et al.. (2017). Radionuclide I-131 Labeled Albumin-Paclitaxel Nanoparticles for Synergistic Combined Chemo-radioisotope Therapy of Cancer. Theranostics. 7(3). 614–623. 81 indexed citations
17.
Huang, Lingxin, Zhan Li, Dan Liu, et al.. (2016). The Potential Application of Raw Cadmium Sulfide Nanoparticles as CT Photographic Developer. Nanoscale Research Letters. 11(1). 232–232. 18 indexed citations
18.
Li, Zhan, Chunmei Wang, Longlong Tian, et al.. (2015). An embryo of protocells: The capsule of graphene with selective ion channels. Scientific Reports. 5(1). 10258–10258. 12 indexed citations
19.
Liu, Bo, Wei Qi, Longlong Tian, et al.. (2015). In Vivo Biodistribution and Toxicity of Highly Soluble PEG-Coated Boron Nitride in Mice. Nanoscale Research Letters. 10(1). 478–478. 18 indexed citations
20.
Bai, Jing, Fangli Fan, Wei Tian, et al.. (2012). Biosorption of uranium by magnetically modified Rhodotorula glutinis. Enzyme and Microbial Technology. 51(6-7). 382–387. 57 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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