Jin Cui

59 total papers · 939 total citations
41 papers, 674 citations indexed

About

Jin Cui is a scholar working on Epidemiology, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Jin Cui has authored 41 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 12 papers in Organic Chemistry and 12 papers in Molecular Biology. Recurrent topics in Jin Cui's work include Influenza Virus Research Studies (9 papers), Animal Disease Management and Epidemiology (8 papers) and Viral gastroenteritis research and epidemiology (7 papers). Jin Cui is often cited by papers focused on Influenza Virus Research Studies (9 papers), Animal Disease Management and Epidemiology (8 papers) and Viral gastroenteritis research and epidemiology (7 papers). Jin Cui collaborates with scholars based in China, Japan and Thailand. Jin Cui's co-authors include Takumi Watanabe, Masakatsu Shibasaki, Michio Murata, Ming Liao, Peirong Jiao, Yafen Song, Jun Ando, Mikiko Sodeoka, Kosuke Dodo and Hiroyuki Yamakoshi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Jin Cui

41 papers receiving 663 citations

Author Peers

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

Author						Papers	Cites
Jin Cui	283	201	147	114	103	41	674
Elke Jurkiewicz	234 0.8×	123 0.6×	135 0.9×	143 1.3×	18 0.2×	34	717
Scott Winston	408 1.4×	155 0.8×	147 1.0×	26 0.2×	24 0.2×	25	780
Reimar Krieg	227 0.8×	133 0.7×	44 0.3×	152 1.3×	44 0.4×	43	701
Chonsaeng Kim	313 1.1×	175 0.9×	282 1.9×	39 0.3×	15 0.1×	30	723
Shichong Han	213 0.8×	88 0.4×	124 0.8×	23 0.2×	206 2.0×	37	748
H. Bachmayer	258 0.9×	226 1.1×	64 0.4×	59 0.5×	33 0.3×	44	714
Rashmi Sharma	226 0.8×	93 0.5×	115 0.8×	188 1.6×	59 0.6×	56	787
Pierre Bonnafous	327 1.2×	135 0.7×	81 0.6×	31 0.3×	33 0.3×	16	670
Xiaoqi Li	268 0.9×	48 0.2×	51 0.3×	27 0.2×	37 0.4×	53	703
Zhiguang Ren	267 0.9×	146 0.7×	112 0.8×	83 0.7×	40 0.4×	32	592

Countries citing papers authored by Jin Cui

Since Specialization

Citations

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

Fields of papers citing papers by Jin Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Cui

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