Xingxing Kong

67 total papers · 3.5k total citations
47 papers, 2.8k citations indexed

About

Xingxing Kong is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Xingxing Kong has authored 47 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Physiology, 14 papers in Molecular Biology and 14 papers in Epidemiology. Recurrent topics in Xingxing Kong's work include Adipose Tissue and Metabolism (27 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Regulation of Appetite and Obesity (6 papers). Xingxing Kong is often cited by papers focused on Adipose Tissue and Metabolism (27 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Regulation of Appetite and Obesity (6 papers). Xingxing Kong collaborates with scholars based in China, United States and Japan. Xingxing Kong's co-authors include Yongsheng Chang, Evan D. Rosen, Fude Fang, Xiaojun Liu, Rui Wang, Huabing Zhang, Yong Chen, Yuan Xue, Tiemin Liu and Bruce M. Spiegelman and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Xingxing Kong

47 papers receiving 2.8k citations

Hit Papers

Sirtuin 3, a New Target o... 2010 2026 2015 2020 2010 2014 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Xingxing Kong 1.5k 960 895 376 364 47 2.8k
Cristina Tonello 2.3k 1.5× 1.5k 1.6× 878 1.0× 395 1.1× 333 0.9× 43 3.9k
Stefania Carobbio 1.7k 1.1× 1.1k 1.1× 1.0k 1.1× 201 0.5× 326 0.9× 46 3.1k
Louise Lantier 1.5k 1.0× 2.2k 2.3× 817 0.9× 181 0.5× 242 0.7× 63 3.9k
Erin L. Seifert 1.4k 0.9× 2.2k 2.3× 480 0.5× 359 1.0× 352 1.0× 76 3.9k
Jianhua Shao 1.2k 0.8× 1.0k 1.1× 1.0k 1.1× 270 0.7× 181 0.5× 59 3.4k
Jacques Robidoux 1.5k 0.9× 939 1.0× 732 0.8× 210 0.6× 94 0.3× 33 2.5k
Deanna P. Bracy 1.7k 1.1× 1.6k 1.7× 573 0.6× 245 0.7× 146 0.4× 68 3.4k
Nathan Qi 1.1k 0.7× 895 0.9× 580 0.6× 185 0.5× 183 0.5× 51 2.3k
Magdalene K. Montgomery 1.4k 0.9× 1.5k 1.5× 944 1.1× 172 0.5× 530 1.5× 56 3.4k
Haihong Zong 2.1k 1.3× 2.5k 2.6× 1.1k 1.2× 233 0.6× 180 0.5× 38 4.4k

Countries citing papers authored by Xingxing Kong

Since Specialization
Citations

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

Fields of papers citing papers by Xingxing Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingxing Kong

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