Yong Xu

9.7k total citations · 1 hit paper
135 papers, 5.9k citations indexed

About

Yong Xu is a scholar working on Endocrine and Autonomic Systems, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Yong Xu has authored 135 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Endocrine and Autonomic Systems, 50 papers in Physiology and 41 papers in Nutrition and Dietetics. Recurrent topics in Yong Xu's work include Regulation of Appetite and Obesity (85 papers), Biochemical Analysis and Sensing Techniques (39 papers) and Adipose Tissue and Metabolism (38 papers). Yong Xu is often cited by papers focused on Regulation of Appetite and Obesity (85 papers), Biochemical Analysis and Sensing Techniques (39 papers) and Adipose Tissue and Metabolism (38 papers). Yong Xu collaborates with scholars based in United States, China and United Kingdom. Yong Xu's co-authors include Joel K. Elmquist, Qingchun Tong, Makoto Fukuda, Kevin W. Williams, Carol F. Elias, Bradford B. Lowell, Yuanzhong Xu, Yanlin He, Charlotte E. Lee and Juli E. Jones and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Yong Xu

132 papers receiving 5.9k citations

Hit Papers

Distinct Hypothalamic Neu... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Xu United States 41 2.9k 2.2k 1.2k 1.1k 789 135 5.9k
Sébastien G. Bouret United States 46 4.0k 1.4× 2.6k 1.2× 925 0.8× 1.6k 1.4× 644 0.8× 97 7.3k
José Donato Brazil 43 2.6k 0.9× 1.8k 0.8× 1.1k 0.9× 771 0.7× 1.1k 1.4× 191 5.7k
Kevin L. Grove United States 48 2.7k 0.9× 2.6k 1.2× 1.9k 1.6× 1.3k 1.2× 1.3k 1.7× 141 8.3k
Chun‐Xia Yi Netherlands 43 3.5k 1.2× 2.7k 1.3× 1.2k 1.0× 905 0.8× 520 0.7× 92 6.7k
Serge Luquet France 39 2.2k 0.8× 2.6k 1.2× 2.5k 2.0× 1.1k 1.0× 685 0.9× 105 6.8k
Marcelo O. Dietrich United States 36 3.0k 1.0× 2.9k 1.3× 2.0k 1.6× 1.1k 1.0× 401 0.5× 63 7.3k
Joshua P. Thaler United States 28 2.3k 0.8× 2.2k 1.0× 1.7k 1.4× 630 0.6× 608 0.8× 42 6.0k
Lora K. Heisler United Kingdom 42 2.7k 1.0× 2.0k 0.9× 1.5k 1.2× 1.3k 1.2× 583 0.7× 83 6.3k
Eric D. Berglund United States 32 1.9k 0.6× 2.0k 0.9× 1.5k 1.2× 892 0.8× 550 0.7× 45 4.8k
Hironobu Yoshimatsu Japan 47 2.9k 1.0× 2.4k 1.1× 1.6k 1.3× 1.1k 1.0× 856 1.1× 222 7.9k

Countries citing papers authored by Yong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Xu. A scholar is included among the top collaborators of Yong Xu 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 Yong Xu. Yong Xu 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.
Yang, Yongjie, et al.. (2024). Orthogonal and multiplexable genetic perturbations with an engineered prime editor and a diverse RNA array. Nature Communications. 15(1). 10868–10868. 1 indexed citations
2.
Xu, Yong, et al.. (2023). Chronic stress adds fuel to gut flame. Obesity Medicine. 44. 100519–100519. 1 indexed citations
4.
Fan, Shengjie, Yuanzhong Xu, Yungang Lu, et al.. (2021). A neural basis for brain leptin action on reducing type 1 diabetic hyperglycemia. Nature Communications. 12(1). 2662–2662. 18 indexed citations
5.
Lee, Dong-Kee, Zhangwei Tong, Xiaobin Yu, et al.. (2021). Cell lineage tracing links ERα loss in Erbb2-positive breast cancers to the arising of a highly aggressive breast cancer subtype. Proceedings of the National Academy of Sciences. 118(21). 8 indexed citations
6.
Mishra, Ila, Clemens Duerrschmid, Zhiqiang Ku, et al.. (2021). Asprosin-neutralizing antibodies as a treatment for metabolic syndrome. eLife. 10. 35 indexed citations
7.
Han, Yong, Guobin Xia, Yanlin He, et al.. (2021). A hindbrain dopaminergic neural circuit prevents weight gain by reinforcing food satiation. Science Advances. 7(22). 18 indexed citations
8.
Xu, Yuanzhong, Ryan M. Cassidy, Yungang Lu, et al.. (2020). Paraventricular hypothalamus mediates diurnal rhythm of metabolism. Nature Communications. 11(1). 3794–3794. 43 indexed citations
9.
Zhang, Wenting, Xiaohui Wu, Pei Zhou, et al.. (2019). GDF5 Promotes White Adipose Tissue Thermogenesis via p38 MAPK Signaling Pathway. DNA and Cell Biology. 38(11). 1303–1312. 13 indexed citations
10.
Xu, Yuanzhong, Yungang Lu, Ryan M. Cassidy, et al.. (2019). Identification of a neurocircuit underlying regulation of feeding by stress-related emotional responses. Nature Communications. 10(1). 3446–3446. 58 indexed citations
11.
Yan, Hui, Fenghua Zhou, Xiaopeng Li, et al.. (2018). Estrogen Improves Insulin Sensitivity and Suppresses Gluconeogenesis via the Transcription Factor Foxo1. Diabetes. 68(2). 291–304. 203 indexed citations
12.
Yu, Sangho, Marie François, Emily Qualls‐Creekmore, et al.. (2018). Preoptic leptin signaling modulates energy balance independent of body temperature regulation. eLife. 7. 31 indexed citations
13.
Mangieri, Leandra R., Yungang Lu, Yuanzhong Xu, et al.. (2017). A neural basis for antagonistic control of feeding and compulsive behaviors. Nature Communications. 9(1). 52–52. 55 indexed citations
14.
Yan, Chunling, Yongjie Yang, Kenji Saito, et al.. (2015). Meta‐chlorophenylpiperazine enhances leptin sensitivity in diet‐induced obese mice. British Journal of Pharmacology. 172(14). 3510–3521. 15 indexed citations
15.
Yan, Chunling, Yanlin He, Yuanzhong Xu, et al.. (2015). Apolipoprotein A-IV Inhibits AgRP/NPY Neurons and Activates Pro-Opiomelanocortin Neurons in the Arcuate Nucleus. Neuroendocrinology. 103(5). 476–488. 20 indexed citations
16.
Wu, Zhaofei, Hao Sun, Yuanzhong Xu, et al.. (2015). GABAergic Projections from Lateral Hypothalamus to Paraventricular Hypothalamic Nucleus Promote Feeding. Journal of Neuroscience. 35(8). 3312–3318. 79 indexed citations
17.
Berglund, Eric D., Chen Liu, Tiemin Liu, et al.. (2013). Serotonin 2C receptors in pro-opiomelanocortin neurons regulate energy and glucose homeostasis. Journal of Clinical Investigation. 123(12). 5061–5070. 168 indexed citations
18.
Xu, Yong, Jennifer W. Hill, Makoto Fukuda, et al.. (2010). PI3K Signaling in the Ventromedial Hypothalamic Nucleus Is Required for Normal Energy Homeostasis. Cell Metabolism. 12(1). 88–95. 91 indexed citations
19.
Hill, Jennifer W., Yong Xu, Frédéric Preitner, et al.. (2009). Phosphatidyl Inositol 3-Kinase Signaling in Hypothalamic Proopiomelanocortin Neurons Contributes to the Regulation of Glucose Homeostasis. Endocrinology. 150(11). 4874–4882. 75 indexed citations
20.
Xu, Yong & Teresa L. Krukoff. (2005). Adrenomedullin Stimulates Nitric Oxide Release from SK-N-SH Human Neuroblastoma Cells by Modulating Intracellular Calcium Mobilization. Endocrinology. 146(5). 2295–2305. 22 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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