Yuran Wang

1.1k total citations
31 papers, 776 citations indexed

About

Yuran Wang is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Yuran Wang has authored 31 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 10 papers in Materials Chemistry and 6 papers in Molecular Biology. Recurrent topics in Yuran Wang's work include Nanoplatforms for cancer theranostics (5 papers), Catalysis for Biomass Conversion (3 papers) and Advanced Nanomaterials in Catalysis (2 papers). Yuran Wang is often cited by papers focused on Nanoplatforms for cancer theranostics (5 papers), Catalysis for Biomass Conversion (3 papers) and Advanced Nanomaterials in Catalysis (2 papers). Yuran Wang collaborates with scholars based in China, United States and Singapore. Yuran Wang's co-authors include William H. Green, Thomas J. Struble, Klavs F. Jensen, Connor W. Coley, Hanyu Gao, Yuriy Román‐Leshkov, Sean T. Hunt, Robert G. Griffin, Vladimir K. Michaelis and William R. Gunther and has published in prestigious journals such as Nature Communications, ACS Catalysis and ACS Applied Materials & Interfaces.

In The Last Decade

Yuran Wang

25 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuran Wang China 10 395 366 158 154 123 31 776
Connor J. Taylor United Kingdom 12 312 0.8× 464 1.3× 136 0.9× 119 0.8× 155 1.3× 16 864
Davide Angelone Netherlands 12 370 0.9× 283 0.8× 106 0.7× 161 1.0× 115 0.9× 17 793
Lars P. E. Yunker Canada 13 318 0.8× 282 0.8× 109 0.7× 141 0.9× 180 1.5× 17 796
Adam D. Clayton United Kingdom 15 379 1.0× 651 1.8× 161 1.0× 172 1.1× 213 1.7× 29 1.1k
Jesús G. Estrada United States 4 488 1.2× 182 0.5× 324 2.1× 178 1.2× 252 2.0× 4 882
S. Hessam M. Mehr United Kingdom 12 289 0.7× 184 0.5× 86 0.5× 105 0.7× 96 0.8× 22 566
José E. Tábora United States 15 499 1.3× 195 0.5× 90 0.6× 76 0.5× 108 0.9× 25 861
Thomas J. Struble United States 10 350 0.9× 123 0.3× 269 1.7× 137 0.9× 181 1.5× 12 707
Rebecca E. Meadows United Kingdom 15 197 0.5× 358 1.0× 74 0.5× 169 1.1× 471 3.8× 20 912
Jakob B. Wolf Germany 5 277 0.7× 258 0.7× 102 0.6× 131 0.9× 65 0.5× 8 557

Countries citing papers authored by Yuran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuran Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuran Wang. A scholar is included among the top collaborators of Yuran Wang 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 Yuran Wang. Yuran Wang 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.
Li, Fei, et al.. (2025). Anomize: Better Open Vocabulary Video Anomaly Detection. 29203–29212.
4.
Lin, Maosong, et al.. (2025). pH-responsive guar gum-based hydrogels for controlled release and antifungal applications of carvacrol. Colloids and Surfaces A Physicochemical and Engineering Aspects. 728. 138594–138594.
5.
Wang, Zhixiang, et al.. (2024). Contributing Dimension Structure of Deep Feature for Coreset Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9080–9088. 1 indexed citations
6.
Wang, Yuran, et al.. (2024). Terrain point cloud inpainting via signal decomposition. Computers & Graphics. 120. 103915–103915. 1 indexed citations
7.
Zhang, Xiuxiu, et al.. (2024). Insights into the tolerant function of VWA proteins in terms of expression analysis and RGLG5-VWA crystal structure. Plant Physiology and Biochemistry. 214. 108864–108864. 1 indexed citations
8.
Wang, Yuran, et al.. (2024). Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ Segmentation. arXiv (Cornell University). 10640–10648.
9.
Yan, Jingjing, Yuran Wang, Rumeng Wang, et al.. (2024). Rod-Shaped Mesoporous Zinc-Containing Bioactive Glass Nanoparticles: Structural, Physico-Chemical, Antioxidant, and Immuno-Regulation Properties. Antioxidants. 13(7). 875–875. 2 indexed citations
10.
Li, Xudong, et al.. (2023). Synthesis, structure–activity relationship, and biological evaluation of quinolines for development of anticancer agents. Archiv der Pharmazie. 356(7). e2200673–e2200673. 3 indexed citations
11.
Zhou, Xin, Ruotian Ma, Tao Gui, et al.. (2023). TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations. 5459–5473. 7 indexed citations
12.
Wu, Yufeng, Yang Yang, Jingyu Liu, et al.. (2023). Pharmacokinetic and safety profile of PT109B, a novel multi-targeted compound against Alzheimer's disease. European Journal of Pharmaceutical Sciences. 188. 106532–106532. 2 indexed citations
13.
Gui, Tao, et al.. (2022). TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion. 8360–8371. 7 indexed citations
14.
Wang, Yuran, Xudong Li, Haijun Chen, & Yu Gao. (2022). Facile preparation of Au- and BODIPY-grafted lipid nanoparticles for synergized photothermal therapy. Beilstein Journal of Nanotechnology. 13. 1432–1444. 1 indexed citations
15.
Wang, Yuran, Heping Cui, Qiang Zhang, et al.. (2021). Proline-glucose Amadori compounds: Aqueous preparation, characterization and saltiness enhancement. Food Research International. 144. 110319–110319. 35 indexed citations
16.
Gao, Hanyu, Thomas J. Struble, Connor W. Coley, et al.. (2018). Using Machine Learning To Predict Suitable Conditions for Organic Reactions. ACS Central Science. 4(11). 1465–1476. 291 indexed citations
17.
Bédard, Anne‐Catherine, Ashley R. Longstreet, Joshua Britton, et al.. (2017). Minimizing E-factor in the continuous-flow synthesis of diazepam and atropine. Bioorganic & Medicinal Chemistry. 25(23). 6233–6241. 46 indexed citations
18.
Wang, Yuran, Stijn Van de Vyver, Krishna K. Sharma, & Yuriy Román‐Leshkov. (2013). Insights into the stability of gold nanoparticles supported on metal oxides for the base-free oxidation of glucose to gluconic acid. Green Chemistry. 16(2). 719–726. 91 indexed citations
19.
Wang, Yuran, et al.. (2012). Sn-Beta zeolites with borate salts catalyse the epimerization of carbohydrates via an intramolecular carbon shift. DSpace@MIT (Massachusetts Institute of Technology). 163 indexed citations
20.
Gunther, William R., Yuran Wang, Vladimir K. Michaelis, et al.. (2012). Sn-Beta zeolites with borate salts catalyse the epimerization of carbohydrates via an intramolecular carbon shift. Nature Communications. 3(1). 1109–1109. 2 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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