Dong Kong

3.2k total citations
29 papers, 2.4k citations indexed

About

Dong Kong is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Dong Kong has authored 29 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrine and Autonomic Systems, 9 papers in Molecular Biology and 9 papers in Cognitive Neuroscience. Recurrent topics in Dong Kong's work include Regulation of Appetite and Obesity (12 papers), Sleep and Wakefulness Research (9 papers) and Adipose Tissue and Metabolism (7 papers). Dong Kong is often cited by papers focused on Regulation of Appetite and Obesity (12 papers), Sleep and Wakefulness Research (9 papers) and Adipose Tissue and Metabolism (7 papers). Dong Kong collaborates with scholars based in United States, Japan and Canada. Dong Kong's co-authors include Bradford B. Lowell, Chianping Ye, Shuichi Koda, Xinnan Wang, Jonathan C. Trinidad, Thomas L. Schwarz, Gülçin Pekkurnaz, Qingchun Tong, Linh Vong and Barbara B. Kahn and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Dong Kong

29 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Kong United States 22 894 862 718 400 361 29 2.4k
Su Qian United States 13 952 1.1× 422 0.5× 848 1.2× 577 1.4× 186 0.5× 17 1.8k
Harveen Dhillon United States 18 1.6k 1.8× 651 0.8× 1.5k 2.0× 638 1.6× 245 0.7× 22 3.1k
Leona Plum Germany 21 1.9k 2.1× 836 1.0× 1.6k 2.2× 758 1.9× 205 0.6× 24 3.4k
Brigitte Hampel Germany 19 1.9k 2.1× 721 0.8× 1.4k 2.0× 807 2.0× 210 0.6× 21 3.4k
Shirly Pinto United States 16 1.3k 1.5× 548 0.6× 939 1.3× 770 1.9× 224 0.6× 25 2.5k
Eduardo A. Nillni United States 35 2.3k 2.6× 636 0.7× 1.5k 2.1× 1.1k 2.7× 162 0.4× 73 4.0k
Sabine D. Jordan United States 12 917 1.0× 1.3k 1.5× 807 1.1× 173 0.4× 84 0.2× 13 2.6k
Chen-Yu Zhang United States 7 891 1.0× 1.9k 2.2× 2.7k 3.7× 487 1.2× 88 0.2× 7 4.0k
Bengt‐Frederik Belgardt Germany 15 871 1.0× 976 1.1× 735 1.0× 288 0.7× 97 0.3× 28 2.4k
Shane T. Hentges United States 26 1.0k 1.1× 605 0.7× 510 0.7× 582 1.5× 391 1.1× 51 2.4k

Countries citing papers authored by Dong Kong

Since Specialization
Citations

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

Fields of papers citing papers by Dong Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Kong. A scholar is included among the top collaborators of Dong 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 Dong Kong. Dong 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.
Guan, Dongxian, Yuqin Men, Mario Andrés Salazar Hernández, et al.. (2024). Central inhibition of HDAC6 re-sensitizes leptin signaling during obesity to induce profound weight loss. Cell Metabolism. 36(4). 857–876.e10. 9 indexed citations
2.
Antonoudiou, Pantelis, et al.. (2023). Impaired Endogenous Neurosteroid Signaling Contributes to Behavioral Deficits Associated With Chronic Stress. Biological Psychiatry. 94(3). 249–261. 19 indexed citations
3.
Luca, Roberto De, Stefano Nardone, Kevin P. Grace, et al.. (2022). Orexin neurons inhibit sleep to promote arousal. Nature Communications. 13(1). 4163–4163. 55 indexed citations
4.
Luca, Roberto De, Stefano Nardone, Kevin P. Grace, et al.. (2022). Orexin neurons inhibit sleep to promote arousal. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
5.
Yang, Renzhi, et al.. (2022). Dichotomous regulation of striatal plasticity by dynorphin. Molecular Psychiatry. 28(1). 434–447. 8 indexed citations
6.
Roy, Dheeraj S., Ying Zhang, Tomomi Aida, et al.. (2021). Anterior thalamic dysfunction underlies cognitive deficits in a subset of neuropsychiatric disease models. Neuron. 109(16). 2590–2603.e13. 49 indexed citations
7.
Xiao, Xing, Simon Heß, Paul Klemm, et al.. (2021). Orexin receptors 1 and 2 in serotonergic neurons differentially regulate peripheral glucose metabolism in obesity. Nature Communications. 12(1). 5249–5249. 28 indexed citations
8.
Lee, Sangjun, Vineet Augustine, Yuan Zhao, et al.. (2019). Chemosensory modulation of neural circuits for sodium appetite. Nature. 568(7750). 93–97. 51 indexed citations
9.
Ross, Rachel, Silvia León, Joseph C. Madara, et al.. (2018). PACAP neurons in the ventral premammillary nucleus regulate reproductive function in the female mouse. eLife. 7. 72 indexed citations
10.
Xu, Jie, et al.. (2018). Synaptic Regulation of Metabolism. Advances in experimental medicine and biology. 1090. 49–77. 3 indexed citations
11.
Xu, Jie, et al.. (2018). Genetic identification of leptin neural circuits in energy and glucose homeostases. Nature. 556(7702). 505–509. 215 indexed citations
12.
Killion, Elizabeth A., Andrew R. Reeves, John D Griffin, et al.. (2018). A role for long-chain acyl-CoA synthetase-4 (ACSL4) in diet-induced phospholipid remodeling and obesity-associated adipocyte dysfunction. Molecular Metabolism. 9. 43–56. 101 indexed citations
13.
Felsted, Jennifer, Cheng-Hao Chien, Dongqing Wang, et al.. (2017). Alpha2delta-1 in SF1+ Neurons of the Ventromedial Hypothalamus Is an Essential Regulator of Glucose and Lipid Homeostasis. Cell Reports. 21(10). 2737–2747. 28 indexed citations
14.
Vetrivelan, Ramalingam, Dong Kong, Loris L. Ferrari, et al.. (2016). Melanin-concentrating hormone neurons specifically promote rapid eye movement sleep in mice. Neuroscience. 336. 102–113. 64 indexed citations
15.
Pekkurnaz, Gülçin, Jonathan C. Trinidad, Xinnan Wang, Dong Kong, & Thomas L. Schwarz. (2014). Glucose Regulates Mitochondrial Motility via Milton Modification by O-GlcNAc Transferase. Cell. 158(1). 54–68. 211 indexed citations
16.
Kraus, Daniel, Qin Yang, Dong Kong, et al.. (2014). Nicotinamide N-methyltransferase knockdown protects against diet-induced obesity. Nature. 508(7495). 258–262. 365 indexed citations
17.
Liu, Tiemin, Dong Kong, Bhavik P. Shah, et al.. (2012). Fasting Activation of AgRP Neurons Requires NMDA Receptors and Involves Spinogenesis and Increased Excitatory Tone. Neuron. 73(3). 511–522. 231 indexed citations
18.
Kong, Dong, Qingchun Tong, Chianping Ye, et al.. (2012). GABAergic RIP-Cre Neurons in the Arcuate Nucleus Selectively Regulate Energy Expenditure. Cell. 151(3). 645–657. 181 indexed citations
19.
Hu, Huang, Dong Kong, Chianping Ye, et al.. (2012). Rho-kinase regulates energy balance by targeting hypothalamic leptin receptor signaling. Nature Neuroscience. 15(10). 1391–1398. 81 indexed citations
20.
Pulinilkunnil, Thomas, Huamei He, Dong Kong, et al.. (2011). Adrenergic Regulation of AMP-activated Protein Kinase in Brown Adipose Tissue in Vivo. Journal of Biological Chemistry. 286(11). 8798–8809. 73 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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