Jiayi Yin

57 total papers · 1.5k total citations
40 papers, 1.1k citations indexed

About

Jiayi Yin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Jiayi Yin has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 7 papers in Oncology. Recurrent topics in Jiayi Yin's work include Computational Drug Discovery Methods (13 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Drug Transport and Resistance Mechanisms (6 papers). Jiayi Yin is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Drug Transport and Resistance Mechanisms (6 papers). Jiayi Yin collaborates with scholars based in China, United States and Hong Kong. Jiayi Yin's co-authors include Fengcheng Li, Feng Zhu, Ying Zhou, Su Zeng, William S. Reznikoff, Ying‐Hua Zhang, Jianqing Gao, Yunqing Qiu, Minjie Mou and Lushan Yu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Analytical Chemistry.

In The Last Decade

Jiayi Yin

38 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jiayi Yin 762 286 136 107 70 40 1.1k
Carlos A. Perez 511 0.7× 177 0.6× 72 0.5× 100 0.9× 44 0.6× 34 1.3k
Zhenquan Hu 636 0.8× 220 0.8× 51 0.4× 106 1.0× 71 1.0× 33 1.3k
Tulika Bhardwaj 645 0.8× 118 0.4× 73 0.5× 142 1.3× 77 1.1× 74 1.3k
Yongliang Yang 876 1.1× 142 0.5× 189 1.4× 250 2.3× 94 1.3× 62 1.4k
Shaolong Zhang 828 1.1× 136 0.5× 80 0.6× 182 1.7× 49 0.7× 58 1.3k
Carmen Di Giovanni 852 1.1× 334 1.2× 90 0.7× 232 2.2× 32 0.5× 37 1.3k
Yoshinobu Igarashi 695 0.9× 223 0.8× 184 1.4× 196 1.8× 33 0.5× 26 1.2k
Matteo Floris 759 1.0× 454 1.6× 182 1.3× 71 0.7× 18 0.3× 57 1.3k
Josephine W. Wu 705 0.9× 143 0.5× 44 0.3× 111 1.0× 79 1.1× 48 1.4k
Weijun Xu 700 0.9× 227 0.8× 47 0.3× 90 0.8× 40 0.6× 43 1.3k

Countries citing papers authored by Jiayi Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jiayi Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayi Yin

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