Menglu Yuan

729 total citations · 1 hit paper
6 papers, 555 citations indexed

About

Menglu Yuan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Menglu Yuan has authored 6 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Social Psychology. Recurrent topics in Menglu Yuan's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (4 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Menglu Yuan is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (4 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Menglu Yuan collaborates with scholars based in United States and China. Menglu Yuan's co-authors include Frances M. Leslie, Sandra E. Loughlin, Sarah J. Cross, Sharon M. Anderson, Katie R. Famous, Heath D. Schmidt, R. Christopher Pierce, Vidhya Kumaresan, Nurulain T. Zaveri and Dennis Yasuda and has published in prestigious journals such as The Journal of Physiology, Arteriosclerosis Thrombosis and Vascular Biology and Behavioural Brain Research.

In The Last Decade

Menglu Yuan

5 papers receiving 543 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nicotine and the adolescent brain

2015 388 citations Menglu Yuan, Sarah J. Cross et al. The Journal of Physiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Menglu Yuan United States	4	273	208	192	101	65	6	555
Peg M. Maude‐Griffin United States	10	137 0.5×	162 0.8×	70 0.4×	38 0.4×	64 1.0×	12	421
Ronald P. Salkeld United States	7	187 0.7×	60 0.3×	76 0.4×	23 0.2×	114 1.8×	10	351
Leo A. Sirota United States	6	174 0.6×	279 1.3×	253 1.3×	28 0.3×	32 0.5×	7	727
Cendrine Robinson United States	11	97 0.4×	65 0.3×	64 0.3×	43 0.4×	47 0.7×	22	360
Cindy Brody United States	8	143 0.5×	112 0.5×	135 0.7×	28 0.3×	57 0.9×	10	552
Julie C. Gass United States	10	203 0.7×	30 0.1×	79 0.4×	47 0.5×	165 2.5×	27	378
Christopher G. AhnAllen United States	11	99 0.4×	48 0.2×	99 0.5×	43 0.4×	28 0.4×	26	355
Katherine J. Ameringer United States	10	228 0.8×	33 0.2×	51 0.3×	35 0.3×	120 1.8×	14	408
Jessica Black United States	10	53 0.2×	71 0.3×	62 0.3×	33 0.3×	91 1.4×	21	379
Ari P. Kirshenbaum United States	9	95 0.3×	72 0.3×	69 0.4×	53 0.5×	65 1.0×	19	303

Countries citing papers authored by Menglu Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Menglu Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menglu Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Menglu Yuan. A scholar is included among the top collaborators of Menglu Yuan 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 Menglu Yuan. Menglu Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Yuan, Menglu, Qi Li, Zhiwei Wang, et al.. (2025). TRPV4 Promotes Vascular Calcification by Directly Associating With and Activating β-Catenin. Arteriosclerosis Thrombosis and Vascular Biology. 45(4). e101–e117.

2.

Yuan, Menglu & Frances M. Leslie. (2024). Nicotine and fluoxetine alter adolescent dopamine-mediated behaviors via 5-HT1A receptor activation. Frontiers in Psychiatry. 15. 1380123–1380123. 3 indexed citations

3.

Yuan, Menglu, et al.. (2017). The α3β4 nAChR partial agonist AT-1001 attenuates stress-induced reinstatement of nicotine seeking in a rat model of relapse and induces minimal withdrawal in dependent rats. Behavioural Brain Research. 333. 251–257. 16 indexed citations

4.

Yuan, Menglu, Sarah J. Cross, Sandra E. Loughlin, & Frances M. Leslie. (2015). Nicotine and the adolescent brain. The Journal of Physiology. 593(16). 3397–3412. 388 indexed citations breakdown →

5.

Yuan, Menglu, et al.. (2013). Nicotine modulation of adolescent dopamine receptor signaling and hypothalamic peptide response. Neuropharmacology. 77. 285–293. 10 indexed citations

6.

Kumaresan, Vidhya, Menglu Yuan, Katie R. Famous, et al.. (2009). Metabotropic glutamate receptor 5 (mGluR5) antagonists attenuate cocaine priming- and cue-induced reinstatement of cocaine seeking. Behavioural Brain Research. 202(2). 238–244. 138 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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