Duo Gong

30 total papers · 831 total citations
22 papers, 654 citations indexed

About

Duo Gong is a scholar working on Surgery, Molecular Biology and Cancer Research. According to data from OpenAlex, Duo Gong has authored 22 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Duo Gong's work include Cholesterol and Lipid Metabolism (11 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Lipid metabolism and disorders (7 papers). Duo Gong is often cited by papers focused on Cholesterol and Lipid Metabolism (11 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Lipid metabolism and disorders (7 papers). Duo Gong collaborates with scholars based in China, Canada and United States. Duo Gong's co-authors include Chao‐Ke Tang, Xi‐Long Zheng, Zhen-Wang Zhao, Haipeng Cheng, Wei Xie, Feng Yao, Lingyan Chen, Xiao-Dan Xia, Chong Huang and Gang Lan and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and European Journal of Pharmacology.

In The Last Decade

Duo Gong

21 papers receiving 649 citations

Author Peers

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

Author						Papers	Cites
Duo Gong	344	287	249	128	87	22	654
Ji Xiao	371 1.1×	211 0.7×	263 1.1×	183 1.4×	50 0.6×	27	770
Peggy Robinet	312 0.9×	185 0.6×	264 1.1×	159 1.2×	77 0.9×	19	731
Nicoleta Alexandru	387 1.1×	199 0.7×	101 0.4×	117 0.9×	201 2.3×	32	713
Christine L. Webb	260 0.8×	112 0.4×	222 0.9×	126 1.0×	90 1.0×	16	643
Nobuhiro Yamada	328 1.0×	102 0.4×	271 1.1×	119 0.9×	72 0.8×	21	752
Danielle L. Michell	351 1.0×	220 0.8×	94 0.4×	122 1.0×	112 1.3×	28	733
Stefano Spolitu	253 0.7×	107 0.4×	165 0.7×	211 1.6×	43 0.5×	17	749
Wenhong Deng	310 0.9×	163 0.6×	278 1.1×	83 0.6×	41 0.5×	43	746
Yahan Liu	371 1.1×	179 0.6×	69 0.3×	105 0.8×	83 1.0×	22	721
Wenquan Hu	352 1.0×	125 0.4×	224 0.9×	117 0.9×	41 0.5×	33	695

Countries citing papers authored by Duo Gong

Since Specialization

Citations

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

Fields of papers citing papers by Duo Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duo Gong

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