Feiyang Ji

69 total papers · 1.2k total citations
34 papers, 740 citations indexed

About

Feiyang Ji is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Feiyang Ji has authored 34 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Epidemiology and 7 papers in Cancer Research. Recurrent topics in Feiyang Ji's work include Liver Disease Diagnosis and Treatment (7 papers), interferon and immune responses (5 papers) and Nuts composition and effects (4 papers). Feiyang Ji is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), interferon and immune responses (5 papers) and Nuts composition and effects (4 papers). Feiyang Ji collaborates with scholars based in China and United States. Feiyang Ji's co-authors include Lanjuan Li, Xiaoxi Ouyang, Dong Pei, Junpei Zhang, Yongxia Chen, Zhongyang Xie, Siwei Ju, Zeyu Sun, Zhengyi Jiang and Jichun Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Feiyang Ji

34 papers receiving 729 citations

Author Peers

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

Author Last Decade Papers Cites
Feiyang Ji 398 123 120 115 108 34 740
Munetaka Ozeki 472 1.2× 70 0.6× 122 1.0× 74 0.6× 104 1.0× 39 894
Hong‐Jin Kim 324 0.8× 120 1.0× 41 0.3× 168 1.5× 154 1.4× 46 835
Cristabelle De Souza 365 0.9× 31 0.3× 68 0.6× 125 1.1× 84 0.8× 39 702
Xiaoya Ma 336 0.8× 30 0.2× 157 1.3× 122 1.1× 74 0.7× 26 788
Sven Stengel 430 1.1× 87 0.7× 54 0.5× 95 0.8× 165 1.5× 30 825
Xianguang Yang 454 1.1× 110 0.9× 161 1.3× 69 0.6× 50 0.5× 47 825
Hiroto Kikuchi 258 0.6× 52 0.4× 70 0.6× 213 1.9× 44 0.4× 19 848
Ju‐Chien Cheng 387 1.0× 77 0.6× 141 1.2× 123 1.1× 174 1.6× 44 879
Sudeshna Mukherjee 376 0.9× 42 0.3× 154 1.3× 119 1.0× 124 1.1× 34 765
Qian Zhang 323 0.8× 65 0.5× 133 1.1× 74 0.6× 196 1.8× 37 902

Countries citing papers authored by Feiyang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Feiyang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiyang Ji

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