Fang Gao

4.4k total citations · 1 hit paper
111 papers, 3.6k citations indexed

About

Fang Gao is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Fang Gao has authored 111 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 22 papers in Biomedical Engineering and 21 papers in Materials Chemistry. Recurrent topics in Fang Gao's work include Advanced biosensing and bioanalysis techniques (12 papers), Biosensors and Analytical Detection (8 papers) and Nanocluster Synthesis and Applications (6 papers). Fang Gao is often cited by papers focused on Advanced biosensing and bioanalysis techniques (12 papers), Biosensors and Analytical Detection (8 papers) and Nanocluster Synthesis and Applications (6 papers). Fang Gao collaborates with scholars based in China, Australia and United States. Fang Gao's co-authors include Yaping Li, Zhiwen Zhang, Qianjun He, Jianlin Shi, Huihui Bu, John F. Hartwig, Jonathan D. Webb, Edward R. Grant, Xiaonan Lu and Andrew J. Daugulis and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Fang Gao

102 papers receiving 3.6k citations

Hit Papers

In vivo Biodistribution and Urinary Excretion of Mesoporo... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Gao China 29 1.3k 1.2k 793 665 435 111 3.6k
Riccarda Antiochia Italy 39 1.5k 1.2× 1.2k 1.0× 828 1.0× 272 0.4× 240 0.6× 108 4.4k
Lifang Fan China 32 1.8k 1.4× 818 0.7× 618 0.8× 283 0.4× 492 1.1× 111 4.0k
Seunho Jung South Korea 33 865 0.7× 691 0.6× 459 0.6× 603 0.9× 351 0.8× 208 3.6k
Mohammad Javed Ansari Saudi Arabia 34 806 0.6× 792 0.7× 557 0.7× 822 1.2× 720 1.7× 135 4.0k
Agnieszka Z. Wilczewska Poland 29 777 0.6× 746 0.6× 690 0.9× 923 1.4× 282 0.6× 111 3.5k
Jing Yao China 41 2.0k 1.5× 1.2k 1.0× 430 0.5× 1.2k 1.8× 376 0.9× 157 4.6k
Wilker Caetano Brazil 32 818 0.6× 994 0.8× 641 0.8× 353 0.5× 325 0.7× 170 3.2k
Eva M. Martín del Valle Spain 22 977 0.8× 1.1k 0.9× 854 1.1× 811 1.2× 1.1k 2.6× 99 4.5k
Mohammad‐Reza Rashidi Iran 42 2.7k 2.1× 1.3k 1.1× 785 1.0× 543 0.8× 223 0.5× 227 5.5k
Pranab Goswami India 36 1.6k 1.2× 873 0.7× 605 0.8× 368 0.6× 143 0.3× 118 4.1k

Countries citing papers authored by Fang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Fang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Gao. A scholar is included among the top collaborators of Fang 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 Fang Gao. Fang 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.
Zhu, Rui, Fang Gao, & Xinglong Li. (2025). Bimetallic Co-Mn catalyzed chemselective oxidation of 5-hydroxymethylfurfural to 2,5-furandicarboxylic acid. Molecular Catalysis. 580. 115135–115135.
2.
Li, Yue, et al.. (2025). Optimization of mix proportion design for expanded perlite geopolymer insulating mortar based on mixture design. Construction and Building Materials. 491. 142641–142641.
3.
Du, Yuhang, Fang Gao, Shaofeng Yuan, et al.. (2024). Metabolomic, transcriptomic and physiological analysis reveal the effects and potential mechanisms of cold plasma treatment on resistance of wolfberry during storage. Postharvest Biology and Technology. 218. 113128–113128. 7 indexed citations
4.
Gao, Fang, Shaofeng Yuan, Hang Yu, et al.. (2024). Probing the effect of protein corona on SERS signals: insights from melamine detection in milk matrix. Food Chemistry. 459. 140416–140416. 15 indexed citations
5.
Gao, Fang, et al.. (2024). Association Study between SNPs in MST1 and MST2 and <i>H. pylori</i> Infection as well as Noncardia Gastric Carcinogenesis. Digestive Diseases. 42(3). 230–239. 1 indexed citations
6.
Liu, Wei, et al.. (2024). Safety and efficacy of dexmedetomidine vs. midazolam in complex gastrointestinal endoscopy: A systematic review and meta-analysis. Clinics and Research in Hepatology and Gastroenterology. 48(4). 102315–102315. 2 indexed citations
7.
Qiu, Yan, Shuxian Li, Xiangrong Luo, et al.. (2024). l-thyroxine attenuates extracellular Hsp90α-induced vascular endothelial calcification in diabetes mellitus, as revealed by parallel metabolic profiles. Atherosclerosis. 392. 117527–117527. 2 indexed citations
8.
Gao, Fang, Linquan Wang, Shaofeng Yuan, et al.. (2024). Electrolyzed water combined with ozone treatment for efficient removal of mancozeb residues from grapes. Journal of Food Science. 89(11). 7521–7533.
9.
Gao, Fang, et al.. (2024). A nanoparticle-assisted signal-enhancement technique for lateral flow immunoassays. Journal of Materials Chemistry B. 12(28). 6735–6756. 8 indexed citations
11.
Zhu, Rui, Fang Gao, Zhongpeng Guo, et al.. (2024). Catalytic Cleavage of the C−O Bonds in Lignin and Lignin Model Compounds by Metal Triflate Catalysts. ChemSusChem. 17(4). e202301743–e202301743. 9 indexed citations
12.
Gao, Fang, et al.. (2022). Highly Stable Europium(III) Tetrahedral (Eu4L4)(phen)4 Cage: Structure, Luminescence Properties, and Cellular Imaging. Inorganic Chemistry. 61(43). 17089–17100. 7 indexed citations
13.
Cao, Yuxue, C. F. Xu, Jingyu Liu, et al.. (2021). Calcium-Doped Silica Nanoparticles Mixed with Phosphate-Doped Silica Nanoparticles for Rapid and Stable Occlusion of Dentin Tubules. ACS Applied Nano Materials. 4(9). 8761–8769. 10 indexed citations
14.
Jin, Xinxin, et al.. (2017). Amino Acid Composition and Nutritional Evaluation of Different Varieties of Walnut. Food Science. 38(13). 207. 4 indexed citations
16.
Chen, Baoxin, Rongjuan Guo, Zhigang Chen, et al.. (2016). Metabolic Syndrome and Cognitive Performance Among Chinese ≥50 Years: A Cross-Sectional Study with 3988 Participants. Metabolic Syndrome and Related Disorders. 14(4). 222–227. 19 indexed citations
17.
Gao, Fang, et al.. (2015). The preparation, characterization, and pharmacokinetic studies of chitosan nanoparticles loaded with paclitaxel/dimethyl-β-cyclodextrin inclusion complexes. SHILAP Revista de lepidopterología. 6 indexed citations
19.
Liu, Yongsheng, et al.. (2011). Coupling technique of random amplified polymorphic DNA and nanoelectrochemical sensor for mapping pancreatic cancer genetic fingerprint. Dove Medical Press (Taylor and Francis Group). 2 indexed citations
20.
Qi, Songtao, Jun Pan, Yuntao Lu, et al.. (2011). The impact of the site of origin and rate of tumour growth on clinical outcome in children with craniopharyngiomas. Clinical Endocrinology. 76(1). 103–110. 21 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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