Liyun Ji

36 total papers · 697 total citations
21 papers, 526 citations indexed

About

Liyun Ji is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Liyun Ji has authored 21 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Biomedical Engineering. Recurrent topics in Liyun Ji's work include Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (4 papers) and Quinazolinone synthesis and applications (4 papers). Liyun Ji is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (4 papers) and Quinazolinone synthesis and applications (4 papers). Liyun Ji collaborates with scholars based in China, Poland and Mexico. Liyun Ji's co-authors include Ling Yang, Shuang Lü, Wei Zheng, Fuyi Wang, Hua Xiao, Xianchan Li, Xiuli Wang, Na Li, Zhigang Sui and Dandan Wang and has published in prestigious journals such as Analytical Chemistry, Applied and Environmental Microbiology and Chemical Communications.

In The Last Decade

Liyun Ji

20 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Liyun Ji 312 107 103 96 82 21 526
Amir Ata Saei 274 0.9× 87 0.8× 91 0.9× 59 0.6× 42 0.5× 26 541
Martina Tilio 287 0.9× 84 0.8× 96 0.9× 66 0.7× 88 1.1× 9 527
Jinghang Xie 326 1.0× 156 1.5× 68 0.7× 85 0.9× 20 0.2× 19 612
Valentina Gambini 296 0.9× 105 1.0× 107 1.0× 95 1.0× 79 1.0× 11 545
Zaian Deng 311 1.0× 188 1.8× 60 0.6× 38 0.4× 58 0.7× 24 596
Lakshmi Krishnamoorthy 332 1.1× 56 0.5× 98 1.0× 68 0.7× 52 0.6× 9 557
Zhitao Chen 325 1.0× 126 1.2× 44 0.4× 52 0.5× 63 0.8× 34 507
Saini Setua 245 0.8× 118 1.1× 228 2.2× 50 0.5× 76 0.9× 24 583
Jonathan Chang 242 0.8× 55 0.5× 91 0.9× 105 1.1× 98 1.2× 21 599
Yu‐Wei Chou 213 0.7× 143 1.3× 29 0.3× 80 0.8× 49 0.6× 26 485

Countries citing papers authored by Liyun Ji

Since Specialization
Citations

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

Fields of papers citing papers by Liyun Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyun Ji

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