Ruhong Yan

1.1k total citations
44 papers, 734 citations indexed

About

Ruhong Yan is a scholar working on Molecular Biology, Materials Chemistry and Immunology. According to data from OpenAlex, Ruhong Yan has authored 44 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Materials Chemistry and 11 papers in Immunology. Recurrent topics in Ruhong Yan's work include Advanced biosensing and bioanalysis techniques (15 papers), Carbon and Quantum Dots Applications (14 papers) and Immunotherapy and Immune Responses (6 papers). Ruhong Yan is often cited by papers focused on Advanced biosensing and bioanalysis techniques (15 papers), Carbon and Quantum Dots Applications (14 papers) and Immunotherapy and Immune Responses (6 papers). Ruhong Yan collaborates with scholars based in China, United States and Germany. Ruhong Yan's co-authors include Li Li, Wen‐Fei Dong, Peng Miao, Qian Mei, Juan Yue, Yu Zhang, Ping Feng, Shun Yang, Yuguo Tang and Chenyu Jiang and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Langmuir.

In The Last Decade

Ruhong Yan

42 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruhong Yan China 17 253 224 176 167 97 44 734
Liming Wei China 18 505 2.0× 138 0.6× 88 0.5× 46 0.3× 47 0.5× 64 924
Yunfei Wang China 18 607 2.4× 109 0.5× 179 1.0× 74 0.4× 191 2.0× 60 1.3k
Baofeng Yu China 16 275 1.1× 102 0.5× 138 0.8× 69 0.4× 56 0.6× 48 641
Sandeep Surendra Panikar Mexico 14 257 1.0× 142 0.6× 269 1.5× 50 0.3× 74 0.8× 23 729
Zhiwei Yin China 15 140 0.6× 108 0.5× 157 0.9× 144 0.9× 59 0.6× 40 673
Yi­hui Zhai China 18 580 2.3× 142 0.6× 775 4.4× 314 1.9× 254 2.6× 73 1.6k
Zheng Pan China 10 227 0.9× 150 0.7× 229 1.3× 68 0.4× 69 0.7× 28 764
Joao Paulo Mattos Almeida United States 7 392 1.5× 286 1.3× 581 3.3× 357 2.1× 118 1.2× 7 1.1k
Zhenshan Jia United States 17 142 0.6× 253 1.1× 95 0.5× 60 0.4× 54 0.6× 37 795

Countries citing papers authored by Ruhong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ruhong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruhong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ruhong Yan. A scholar is included among the top collaborators of Ruhong Yan 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 Ruhong Yan. Ruhong Yan 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.
Tian, Yuxin, Yuwei Du, Chen Zhang, et al.. (2025). Rapid detection of procalcitonin using dual-color carbon quantum dots as fluorescent probes in FRET assay. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 338. 126207–126207. 2 indexed citations
3.
Cai, Jiahui, Yao Du, Haiyan Miao, et al.. (2025). Development of nitrogen- and phosphorus-doped P-CDs for tetracycline detection in food and mitochondrial imaging. Microchemical Journal. 217. 114917–114917.
4.
Li, Xinlu, Tongtong Zhu, Haiyang Yan, et al.. (2024). Dual color carbon dots for simultaneous dynamic fluorescence tracking of mitochondria and lysosomes. Sensors and Actuators B Chemical. 422. 136678–136678. 6 indexed citations
5.
Ma, Yuzhu, et al.. (2024). Electrochemical Quantification of miRNA Based on Strain-Promoted Azide–Alkyne Cycloaddition Ligated Tetrahedral DNA Nanotags. Analytical Chemistry. 96(52). 20348–20353. 6 indexed citations
6.
Wu, Jie, Jinhua Li, Mingming Cheng, et al.. (2024). Water-soluble near-infrared AgInS2 quantum dots for Ca2+ detection and bioimaging. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 322. 124859–124859. 3 indexed citations
7.
Yan, Ruhong, et al.. (2023). Highly sensitive detection of telomerase based on poly-adenine primer and DNA-templated copper nanoparticles. Journal of Electroanalytical Chemistry. 946. 117749–117749. 1 indexed citations
8.
Yan, Ruhong, Li Li, Panyong Wang, et al.. (2022). Non-doped and non-modified carbon dots with high quantum yield for the chemosensing of uric acid and living cell imaging. Analytica Chimica Acta. 1199. 339571–339571. 24 indexed citations
9.
Wang, Panyong, Yan Zhang, Yulu Liu, et al.. (2021). Starch-Based Carbon Dots for Nitrite and Sulfite Detection. Frontiers in Chemistry. 9. 782238–782238. 14 indexed citations
10.
Wang, Mingyuan, et al.. (2020). Duplex-specific nuclease assisted miRNA assay based on gold and silver nanoparticles co-decorated on electrode interface. Analytica Chimica Acta. 1107. 23–29. 21 indexed citations
11.
Gu, Zhipeng, et al.. (2018). A novel mode of DNA assembly at electrode and its application to protein quantification. Analytica Chimica Acta. 1029. 24–29. 10 indexed citations
12.
Yang, Yuchen, Wei Zhang, Zhen Guo, et al.. (2017). Stability enhanced, repeatability improved Parylene-C passivated on QCM sensor for aPTT measurement. Biosensors and Bioelectronics. 98. 41–46. 14 indexed citations
13.
Sun, Jing, Cuiping Liu, Li Gao, et al.. (2015). Correlation between B7-H3 expression and rheumatoid arthritis: A new polymorphism haplotype is associated with increased disease risk. Clinical Immunology. 159(1). 23–32. 18 indexed citations
14.
Feng, Ping, et al.. (2015). The interaction of MMP-2/B7-H3 in human osteoporosis. Clinical Immunology. 162. 118–124. 15 indexed citations
15.
Chen, Xuqin, Yanping Wang, Zhedong Wang, et al.. (2015). B7 homolog 3 aggravates brain injury in a murine model of Streptococcus pneumoniae-induced meningitis. Experimental and Therapeutic Medicine. 9(5). 1984–1990. 2 indexed citations
16.
Yan, Ruhong, Shun Yang, Aiping Gu, et al.. (2013). Murine B7-H3 Is a Co-Stimulatory Molecule for T Cell Activation. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 32(6). 395–398. 26 indexed citations
17.
Zhou, Huiqin, et al.. (2013). EsxA might as a virulence factor induce antibodies in patients with Staphylococcus aureus infection. Brazilian Journal of Microbiology. 44(1). 267–271. 6 indexed citations
18.
Yan, Ruhong, Shun Yang, Jing Sun, et al.. (2012). A Novel Monoclonal Antibody Against Mouse B7-H3 Developed in Rats. Hybridoma. 31(4). 267–271. 4 indexed citations
19.
Sun, Jing, Fengqing Fu, Wenchao Gu, et al.. (2011). Origination of New Immunological Functions in the Costimulatory Molecule B7-H3: The Role of Exon Duplication in Evolution of the Immune System. PLoS ONE. 6(9). e24751–e24751. 31 indexed citations
20.
Yan, Ruhong, Guangbo Zhang, Jing Sun, Fengqing Fu, & Xueguang Zhang. (2010). [Expression of mouse B7-H3-Fc fusion protein and characterization of its bioactivity].. PubMed. 26(11). 1067–9. 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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