Xingxing Kong

3.6k total citations · 1 hit paper
48 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 48 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, Yuan Xue, Yong Chen, 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 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xingxing Kong China 20 1.6k 971 897 378 367 48 2.8k
Stefania Carobbio United Kingdom 24 1.7k 1.1× 1.1k 1.1× 1.0k 1.1× 201 0.5× 326 0.9× 46 3.1k
Jacques Robidoux United States 21 1.5k 0.9× 942 1.0× 735 0.8× 210 0.6× 94 0.3× 33 2.5k
Deanna P. Bracy United States 35 1.7k 1.1× 1.6k 1.7× 574 0.6× 245 0.6× 147 0.4× 68 3.4k
Julio E. Ayala United States 31 1.6k 1.0× 1.6k 1.7× 578 0.6× 481 1.3× 95 0.3× 65 3.7k
William Jou United States 23 1.3k 0.8× 1.2k 1.3× 635 0.7× 267 0.7× 162 0.4× 27 2.6k
Pablo M. García-Rovés Spain 34 2.0k 1.3× 2.0k 2.1× 550 0.6× 300 0.8× 144 0.4× 68 3.9k
Emanuele Loro United States 25 876 0.6× 1.7k 1.8× 685 0.8× 198 0.5× 257 0.7× 43 2.9k
Yoshikazu Higami Japan 32 1.6k 1.0× 1.3k 1.4× 611 0.7× 369 1.0× 205 0.6× 160 3.5k
Robert A. Koza United States 28 2.7k 1.7× 1.5k 1.5× 1.1k 1.3× 328 0.9× 84 0.2× 51 3.9k
Heikki A. Koistinen Finland 29 1.3k 0.8× 1.2k 1.2× 743 0.8× 560 1.5× 65 0.2× 57 2.8k

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

20 of 20 papers shown
1.
Wang, Qiong J., Quan Ma, Jinyun Chen, et al.. (2025). Identification of core biomarkers for tuberculosis progression through bioinformatics analysis and in vitro research. Scientific Reports. 15(1). 3137–3137. 2 indexed citations
2.
Liu, Huazhen, Xingxing Kong, Yuqin Zeng, et al.. (2025). From pain to meningitis: bacteria hijack nociceptors to promote meningitis. Frontiers in Immunology. 15. 1515177–1515177. 2 indexed citations
3.
Zhang, Xinyi, Shuang Zhang, Yunpeng Sun, et al.. (2025). Chaperone-mediated autophagy manipulates PGC1α stability and governs energy metabolism under thermal stress. Nature Communications. 16(1). 4455–4455. 2 indexed citations
4.
Wang, Hui, Shanshan Guo, Huanqing Gao, et al.. (2024). Myostatin regulates energy homeostasis through autocrine- and paracrine-mediated microenvironment communication. Journal of Clinical Investigation. 134(16). 6 indexed citations
5.
Wang, Hui, Ting Yao, Yitao Zhang, et al.. (2024). Multi-Omics Exploration of Obesity Biomarkers in Sedentary and Weight Loss Cohorts. PubMed. 5(2). 137–153. 1 indexed citations
6.
Ma, Quan, Xingxing Kong, Yuqin Zeng, et al.. (2024). Interactions between CNS and immune cells in tuberculous meningitis. Frontiers in Immunology. 15. 1326859–1326859. 5 indexed citations
7.
Lei, Ying, Liang Xian, Ting Yao, et al.. (2024). Region-specific transcriptomic responses to obesity and diabetes in macaque hypothalamus. Cell Metabolism. 36(2). 438–453.e6. 15 indexed citations
8.
Zhang, Shuang, Hongmei Yan, Ruwen Wang, et al.. (2023). Skeletal muscle‐specific DJ‐1 ablation‐induced atrogenes expression and mitochondrial dysfunction contributing to muscular atrophy. Journal of Cachexia Sarcopenia and Muscle. 14(5). 2126–2142. 12 indexed citations
9.
Chen, Cheng–Ying, Xingxing Kong, Lan Li, et al.. (2023). [Taurine inhibits M2 polarization of macrophages by promoting mitophagy].. PubMed. 39(6). 488–493. 1 indexed citations
10.
Zhong, Yiming, Liang Zhou, Hui Wang, et al.. (2023). Kindlin-2 maintains liver homeostasis by regulating GSTP1–OPN-mediated oxidative stress and inflammation in mice. Journal of Biological Chemistry. 300(2). 105601–105601. 3 indexed citations
11.
Kong, Xingxing, Ting Yao, Peng Zhou, et al.. (2018). Brown Adipose Tissue Controls Skeletal Muscle Function via the Secretion of Myostatin. Cell Metabolism. 28(4). 631–643.e3. 171 indexed citations
12.
Yao, Ting, et al.. (2017). Melanocortin neurons: Multiple routes to regulation of metabolism. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(10). 2477–2485. 24 indexed citations
13.
Gao, Wei, Xingxing Kong, & Qin Yang. (2017). Isolation, Primary Culture, and Differentiation of Preadipocytes from Mouse Brown Adipose Tissue. Methods in molecular biology. 1566. 3–8. 18 indexed citations
14.
Gao, Yong, Ting Yao, Zhuo Deng, et al.. (2017). TrpC5 Mediates Acute Leptin and Serotonin Effects via Pomc Neurons. Cell Reports. 18(3). 583–592. 75 indexed citations
15.
Kang, Sona, Xingxing Kong, & Evan D. Rosen. (2014). Adipocyte-Specific Transgenic and Knockout Models. Methods in enzymology on CD-ROM/Methods in enzymology. 537. 1–16. 30 indexed citations
16.
Berglund, Eric D., Tiemin Liu, Xingxing Kong, et al.. (2014). Melanocortin 4 receptors in autonomic neurons regulate thermogenesis and glycemia. Nature Neuroscience. 17(7). 911–913. 104 indexed citations
17.
Williams, Kevin W., Tiemin Liu, Xingxing Kong, et al.. (2014). Xbp1s in Pomc Neurons Connects ER Stress with Energy Balance and Glucose Homeostasis. Cell Metabolism. 20(3). 471–482. 212 indexed citations
18.
Shao, Di, Yang Liu, Xiaojun Liu, et al.. (2010). PGC-1β-Regulated mitochondrial biogenesis and function in myotubes is mediated by NRF-1 and ERRα. Mitochondrion. 10(5). 516–527. 123 indexed citations
19.
20.
Kong, Xingxing, Rui Wang, Xiaojun Liu, et al.. (2009). Function of SIRT1 in physiology. Biochemistry (Moscow). 74(7). 703–708. 24 indexed citations

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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