Yaya Cheng

18 total papers · 897 total citations
15 papers, 777 citations indexed

About

Yaya Cheng is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Yaya Cheng has authored 15 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 5 papers in Materials Chemistry and 4 papers in Molecular Biology. Recurrent topics in Yaya Cheng's work include Nanoplatforms for cancer theranostics (7 papers), Photodynamic Therapy Research Studies (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Yaya Cheng is often cited by papers focused on Nanoplatforms for cancer theranostics (7 papers), Photodynamic Therapy Research Studies (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Yaya Cheng collaborates with scholars based in China, United States and Singapore. Yaya Cheng's co-authors include Wenpei Fan, Zhèn Yáng, Xiaohong Chen, Wei Tang, Liangcan He, Jianhua Zou, Jing Mu, Ling Li, Liming Deng and Xiangyu Jiao and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yaya Cheng

14 papers receiving 775 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yaya Cheng	600	422	147	141	134	15	777
Yudi Ruan	707 1.2×	600 1.4×	147 1.0×	137 1.0×	155 1.2×	10	890
Mingwan Shi	664 1.1×	396 0.9×	159 1.1×	118 0.8×	285 2.1×	28	885
Yao‐Jia Li	518 0.9×	470 1.1×	206 1.4×	112 0.8×	184 1.4×	27	840
Zhong Hui	550 0.9×	387 0.9×	179 1.2×	129 0.9×	160 1.2×	19	728
Yulong Bian	567 0.9×	355 0.8×	191 1.3×	76 0.5×	157 1.2×	18	708
Maneesha A. Rajora	593 1.0×	390 0.9×	186 1.3×	262 1.9×	159 1.2×	16	834
Haiyan Chen	629 1.0×	540 1.3×	155 1.1×	221 1.6×	136 1.0×	12	887
Fangmian Wei	613 1.0×	448 1.1×	88 0.6×	272 1.9×	174 1.3×	14	838
Renfa Liu	538 0.9×	283 0.7×	156 1.1×	126 0.9×	195 1.5×	31	808
Ying Zhou	543 0.9×	356 0.8×	139 0.9×	101 0.7×	133 1.0×	17	728

Countries citing papers authored by Yaya Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Yaya Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaya Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yaya Cheng. A scholar is included among the top collaborators of Yaya Cheng 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 Yaya Cheng. Yaya Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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