Yeyi Gu

16 total papers · 870 total citations
13 papers, 739 citations indexed

About

Yeyi Gu is a scholar working on Epidemiology, Biochemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yeyi Gu has authored 13 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Biochemistry and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yeyi Gu's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Adipose Tissue and Metabolism (4 papers). Yeyi Gu is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Adipose Tissue and Metabolism (4 papers). Yeyi Gu collaborates with scholars based in United States and Malaysia. Yeyi Gu's co-authors include Joshua D. Lambert, Shan Yu, Sarah C. Forester, W. Jeffrey Hurst, David A. Stuart, Xiaoyun Ding, Tony Jun Huang, K.J. Harvatine, Feng Guo and Thomas E. Mallouk and has published in prestigious journals such as ACS Nano, Journal of Agricultural and Food Chemistry and The FASEB Journal.

In The Last Decade

Yeyi Gu

13 papers receiving 727 citations

Author Peers

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

Author						Papers	Cites
Yeyi Gu	211	199	156	151	123	13	739
Cara Welch	87 0.4×	307 1.5×	85 0.5×	53 0.4×	74 0.6×	12	875
Yunzhen Zhang	50 0.2×	100 0.5×	143 0.9×	49 0.3×	72 0.6×	15	713
J.M. Mata-Granados	93 0.4×	102 0.5×	209 1.3×	39 0.3×	41 0.3×	25	733
Yunsen Zhang	84 0.4×	91 0.5×	44 0.3×	50 0.3×	33 0.3×	24	889
Otmar Höglinger	73 0.3×	96 0.5×	96 0.6×	88 0.6×	64 0.5×	25	784
Pasquale Napolitano	42 0.2×	90 0.5×	37 0.2×	59 0.4×	47 0.4×	34	724
Lenka Javorská	39 0.2×	66 0.3×	258 1.7×	46 0.3×	57 0.5×	24	732
Koichi Yasunaga	37 0.2×	107 0.5×	102 0.7×	105 0.7×	306 2.5×	24	770
Eswar Kandaswamy	48 0.2×	113 0.6×	82 0.5×	34 0.2×	78 0.6×	16	804
Lezhen Dong	62 0.3×	81 0.4×	167 1.1×	54 0.4×	85 0.7×	16	703

Countries citing papers authored by Yeyi Gu

Since Specialization

Citations

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

Fields of papers citing papers by Yeyi Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeyi Gu

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