Juan Ji An

2.3k total citations · 1 hit paper
26 papers, 1.9k citations indexed

About

Juan Ji An is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Juan Ji An has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrine and Autonomic Systems, 11 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Juan Ji An's work include Regulation of Appetite and Obesity (12 papers), Nerve injury and regeneration (7 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). Juan Ji An is often cited by papers focused on Regulation of Appetite and Obesity (12 papers), Nerve injury and regeneration (7 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). Juan Ji An collaborates with scholars based in United States, China and South Korea. Juan Ji An's co-authors include Baoji Xu, Guey‐Ying Liao, Kusumika Gharami, Bai Lu, Kevin R. Jones, Filip Vanevski, Emily G. Waterhouse, Yue Feng, Newton H. Woo and Enrique Torre 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

Juan Ji An

24 papers receiving 1.9k citations

Hit Papers

Distinct Role of Long 3′ ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Ji An United States 19 886 666 411 379 327 26 1.9k
Sarah A. Stern United States 13 959 1.1× 672 1.0× 291 0.7× 177 0.5× 469 1.4× 19 2.2k
Gérard Alonso France 24 1.1k 1.2× 597 0.9× 315 0.8× 303 0.8× 188 0.6× 47 2.1k
Valentina De Chiara Italy 27 1.0k 1.2× 562 0.8× 269 0.7× 120 0.3× 190 0.6× 43 2.7k
Peter R. Patrylo United States 29 1.4k 1.6× 816 1.2× 404 1.0× 146 0.4× 695 2.1× 60 2.5k
Catherine Loudes France 23 638 0.7× 575 0.9× 174 0.4× 273 0.7× 286 0.9× 49 1.5k
Natalina Salmaso Canada 19 474 0.5× 293 0.4× 235 0.6× 305 0.8× 200 0.6× 40 1.5k
Peter R. Moult United Kingdom 16 868 1.0× 522 0.8× 134 0.3× 236 0.6× 258 0.8× 17 1.4k
Zhenzhong Cui United States 18 704 0.8× 565 0.8× 117 0.3× 214 0.6× 234 0.7× 34 1.6k
TH Joh United States 15 883 1.0× 513 0.8× 188 0.5× 543 1.4× 297 0.9× 15 1.7k
Friederike Klempin Germany 19 791 0.9× 492 0.7× 1.1k 2.7× 211 0.6× 254 0.8× 29 2.1k

Countries citing papers authored by Juan Ji An

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ji An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Ji An. 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 Juan Ji An. The network helps show where Juan Ji An may publish in the future.

Co-authorship network of co-authors of Juan Ji An

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Ji An. A scholar is included among the top collaborators of Juan Ji An 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 Juan Ji An. Juan Ji An 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
3.
Tan, Ji‐Wei, et al.. (2024). Neurotrophin-3 from the dentate gyrus supports postsynaptic sites of mossy fiber-CA3 synapses and hippocampus-dependent cognitive functions. Molecular Psychiatry. 29(4). 1192–1204. 3 indexed citations
4.
An, Juan Ji, et al.. (2024). Genetic Dissection of BDNF and TrkB Expression in Glial Cells. Biomolecules. 14(1). 91–91. 12 indexed citations
5.
Liao, Guey‐Ying, et al.. (2021). Discrete TrkB-expressing neurons of the dorsomedial hypothalamus regulate feeding and thermogenesis. Proceedings of the National Academy of Sciences. 118(4). 18 indexed citations
6.
An, Juan Ji, et al.. (2020). TrkB-expressing paraventricular hypothalamic neurons suppress appetite through multiple neurocircuits. Nature Communications. 11(1). 1729–1729. 43 indexed citations
7.
Xie, Xiangyang, Juan Ji An, Ji‐Wei Tan, et al.. (2019). Activation of Anxiogenic Circuits Instigates Resistance to Diet-Induced Obesity via Increased Energy Expenditure. Cell Metabolism. 29(4). 917–931.e4. 38 indexed citations
8.
Xu, Haifei, Juan Ji An, & Baoji Xu. (2017). Distinct cellular toxicity of two mutant huntingtin mRNA variants due to translation regulation. PLoS ONE. 12(5). e0177610–e0177610. 10 indexed citations
9.
An, Juan Ji, et al.. (2016). Regulation of Energy Balance via BDNF Expressed in Nonparaventricular Hypothalamic Neurons. Molecular Endocrinology. 30(5). 494–503. 25 indexed citations
10.
An, Juan Ji, et al.. (2015). Discrete BDNF Neurons in the Paraventricular Hypothalamus Control Feeding and Energy Expenditure. Cell Metabolism. 22(1). 175–188. 123 indexed citations
11.
Kaneko, Megumi, Yuxiang Xie, Juan Ji An, Michael P. Stryker, & Baoji Xu. (2012). Dendritic BDNF Synthesis Is Required for Late-Phase Spine Maturation and Recovery of Cortical Responses Following Sensory Deprivation. Journal of Neuroscience. 32(14). 4790–4802. 44 indexed citations
12.
Waterhouse, Emily G., Juan Ji An, Lauren L. Orefice, et al.. (2012). BDNF Promotes Differentiation and Maturation of Adult-born Neurons through GABAergic Transmission. Journal of Neuroscience. 32(41). 14318–14330. 239 indexed citations
13.
Zheng, Kang, Juan Ji An, Feng Yang, et al.. (2011). TrkB signaling in parvalbumin-positive interneurons is critical for gamma-band network synchronization in hippocampus. Proceedings of the National Academy of Sciences. 108(41). 17201–17206. 68 indexed citations
14.
An, Juan Ji, Kusumika Gharami, Newton H. Woo, et al.. (2008). Distinct Role of Long 3′ UTR BDNF mRNA in Spine Morphology and Synaptic Plasticity in Hippocampal Neurons. Cell. 134(1). 175–187. 517 indexed citations breakdown →
15.
Kim, Yoo Mee, Juan Ji An, Yong Jun Jin, et al.. (2007). Assessment of the anti-obesity effects of the TNP-470 analog, CKD-732. Journal of Molecular Endocrinology. 38(4). 455–465. 62 indexed citations
16.
Gharami, Kusumika, Yuxiang Xie, Juan Ji An, Susumu Tonegawa, & Baoji Xu. (2007). Brain‐derived neurotrophic factor over‐expression in the forebrain ameliorates Huntington’s disease phenotypes in mice. Journal of Neurochemistry. 105(2). 369–379. 149 indexed citations
17.
An, Juan Ji, Yumie Rhee, Sung‐Kil Lim, et al.. (2007). Peripheral effect of alpha-melanocyte-stimulating hormone on fatty acid oxidation in skeletal muscle. 282(5). 2862–2870. 14 indexed citations
18.
An, Juan Ji, Yumie Rhee, Se Hwa Kim, et al.. (2006). Peripheral Effect of α-Melanocyte-stimulating Hormone on Fatty Acid Oxidation in Skeletal Muscle. Journal of Biological Chemistry. 282(5). 2862–2870. 54 indexed citations
19.
An, Juan Ji, Mi Hyun Bae, Soo‐Hyun Lee, et al.. (2004). Altered GABAergic neurotransmission in mice lacking dopamine D2 receptors. Molecular and Cellular Neuroscience. 25(4). 732–741. 22 indexed citations
20.
An, Juan Ji, et al.. (2003). Anti-proliferative effects and cell death mediated by two isoforms of dopamine D2 receptors in pituitary tumor cells. Molecular and Cellular Endocrinology. 206(1-2). 49–62. 60 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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