Yu Xin

150 total papers · 1.7k total citations
110 papers, 1.4k citations indexed

About

Yu Xin is a scholar working on Molecular Biology, Pollution and Biomedical Engineering. According to data from OpenAlex, Yu Xin has authored 110 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 11 papers in Pollution and 11 papers in Biomedical Engineering. Recurrent topics in Yu Xin's work include Enzyme Catalysis and Immobilization (13 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Protein Hydrolysis and Bioactive Peptides (8 papers). Yu Xin is often cited by papers focused on Enzyme Catalysis and Immobilization (13 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Protein Hydrolysis and Bioactive Peptides (8 papers). Yu Xin collaborates with scholars based in China, United States and Czechia. Yu Xin's co-authors include Liang Zhang, Zhenghua Gu, Wu Wang, Jun Shao, Hailin Yang, Zitao Guo, Yi Shi, Guiyang Shi, Guangming Fan and Youran Li and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Applied and Environmental Microbiology.

In The Last Decade

Yu Xin

105 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Yu Xin 641 281 150 140 108 110 1.4k
Hiroaki Ogawa 531 0.8× 329 1.2× 287 1.9× 141 1.0× 155 1.4× 103 1.7k
Lijuan Cheng 339 0.5× 303 1.1× 97 0.6× 165 1.2× 98 0.9× 70 1.2k
Xiaofei Zhao 392 0.6× 264 0.9× 188 1.3× 86 0.6× 139 1.3× 99 1.5k
Yufeng Sun 417 0.7× 232 0.8× 86 0.6× 206 1.5× 67 0.6× 111 1.8k
Jie Hou 368 0.6× 275 1.0× 164 1.1× 234 1.7× 37 0.3× 75 1.3k
Xu Yang 396 0.6× 388 1.4× 80 0.5× 233 1.7× 190 1.8× 68 1.8k
Guifeng Zhang 768 1.2× 418 1.5× 70 0.5× 154 1.1× 33 0.3× 72 1.8k
Tiantian Liu 678 1.1× 257 0.9× 94 0.6× 57 0.4× 68 0.6× 133 1.7k
Yi Zhang 623 1.0× 352 1.3× 40 0.3× 199 1.4× 77 0.7× 61 1.5k
Jing Sun 424 0.7× 335 1.2× 139 0.9× 242 1.7× 122 1.1× 72 1.3k

Countries citing papers authored by Yu Xin

Since Specialization
Citations

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

Fields of papers citing papers by Yu Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Xin. A scholar is included among the top collaborators of Yu Xin 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 Yu Xin. Yu Xin 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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