Na Yan

762 total citations · 1 hit paper
15 papers, 472 citations indexed

About

Na Yan is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Na Yan has authored 15 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Epidemiology. Recurrent topics in Na Yan's work include Child and Adolescent Psychosocial and Emotional Development (3 papers), Stress Responses and Cortisol (2 papers) and Suicide and Self-Harm Studies (2 papers). Na Yan is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (3 papers), Stress Responses and Cortisol (2 papers) and Suicide and Self-Harm Studies (2 papers). Na Yan collaborates with scholars based in China, United States and Qatar. Na Yan's co-authors include Youfa Wang, Lu Ma, Richard Kirwan, Atıf Rahman, Mohsen Mazidi, Li Ke, Haixia Zhou, Wei-dong Wang, Yixuan Li and Shiqi Chen and has published in prestigious journals such as Nutrients, Journal of Affective Disorders and Obesity.

In The Last Decade

Na Yan

15 papers receiving 465 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.

Prevalence of mental health problems among children and adolescents during the COVID-19 pandemic: A systematic review and meta-analysis

2021 317 citations Lu Ma, Mohsen Mazidi et al. Journal of Affective Disorders profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Na Yan China	8	296	73	64	61	38	15	472
Simon Foster Switzerland	11	219 0.7×	59 0.8×	66 1.0×	57 0.9×	60 1.6×	29	488
Marissa J. Luft United States	5	235 0.8×	58 0.8×	43 0.7×	71 1.2×	89 2.3×	7	388
Sara T. Varney United States	7	251 0.8×	58 0.8×	49 0.8×	121 2.0×	92 2.4×	10	432
Heidi K. Schroeder United States	8	254 0.9×	58 0.8×	49 0.8×	124 2.0×	99 2.6×	17	442
Laura Vallejo-Slocker Spain	7	174 0.6×	41 0.6×	67 1.0×	39 0.6×	59 1.6×	12	338
Oliver Oyama United States	7	152 0.5×	53 0.7×	53 0.8×	52 0.9×	26 0.7×	14	391
Siavash Talepasand Iran	11	319 1.1×	103 1.4×	146 2.3×	68 1.1×	74 1.9×	71	612
Ai Bo United States	12	212 0.7×	45 0.6×	118 1.8×	56 0.9×	28 0.7×	26	535
Haruki Shimoda Japan	13	170 0.6×	43 0.6×	86 1.3×	124 2.0×	50 1.3×	33	456
Sarah A. Mossman United States	10	275 0.9×	61 0.8×	50 0.8×	132 2.2×	126 3.3×	14	492

Countries citing papers authored by Na Yan

Since Specialization

Citations

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

Fields of papers citing papers by Na Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Li, Ying, Wanru Jia, Na Yan, et al.. (2023). Associations between chronic stress and hair cortisol in children: A systematic review and meta-analysis. Journal of Affective Disorders. 329. 438–447. 20 indexed citations

Sun, Xiaomin, Na Yan, Wen Peng, et al.. (2023). Association between body mass index and body fat measured by dual-energy X-ray absorptiometry (DXA) in China: a systematic review and meta-analysis. Global Health Journal. 7(2). 61–69. 2 indexed citations

Ma, Lu, Na Yan, Zumin Shi, et al.. (2022). A 3-Year Longitudinal Study of Effects of Parental Feeding Practices on Child Weight Status: The Childhood Obesity Study in China Mega-Cities. Nutrients. 14(14). 2797–2797. 2 indexed citations

Liu, Xi, Na Yan, Yiqun Gan, et al.. (2022). Associations Between Different Cortisol Measures and Adiposity in Children: A Systematic Review and Meta-Analysis. Frontiers in Nutrition. 9. 879256–879256. 9 indexed citations

Xin, Qianqian, Xiang Xue, Enze Li, et al.. (2022). Can cognition help predict suicide risk in patients with major depressive disorder? A machine learning study. BMC Psychiatry. 22(1). 580–580. 18 indexed citations

Xin, Qianqian, Hanga Galfalvy, Na Yan, et al.. (2022). Association of adenosine triphosphate-related genes to major depression and suicidal behavior: Cognition as a potential mediator. Journal of Affective Disorders. 323. 131–139. 10 indexed citations

Sun, Xiaomin, Qin Yan, Zumin Shi, et al.. (2022). Health consequences of obesity and projected future obesity health burden in China. Obesity. 30(9). 1724–1751. 59 indexed citations

Xin, Qianqian, Xiang Xue, Enze Li, et al.. (2021). Influence of the GABA Receptor Subunit Gene Polymorphism and Childhood Sexual Abuse on Processing Speed in Major Depression and Suicide Attempt. Frontiers in Psychiatry. 12. 712231–712231. 6 indexed citations

Ma, Lu, Mohsen Mazidi, Li Ke, et al.. (2021). Prevalence of mental health problems among children and adolescents during the COVID-19 pandemic: A systematic review and meta-analysis. Journal of Affective Disorders. 293. 78–89. 317 indexed citations breakdown →

10.

Galfalvy, Hanga, Bin Zhang, Weiwei Tang, et al.. (2020). Interactions of the GABRG2 polymorphisms and childhood trauma on suicide attempt and related traits in depressed patients. Journal of Affective Disorders. 266. 447–455. 9 indexed citations

11.

Yan, Na, Changlin Mei, & Ning Wang. (2015). A Unified Bootstrap Test for Local Patterns of Spatiotemporal Association. Environment and Planning A Economy and Space. 47(1). 227–242. 6 indexed citations

12.

Xu, Min, Changlin Mei, & Na Yan. (2014). A note on the null distribution of the local spatial heteroscedasticity (LOSH) statistic. The Annals of Regional Science. 52(3). 697–710. 8 indexed citations

13.

Shi, Zongqian, Na Yan, Yingkui Zhang, et al.. (2013). Removing Oxide Layers From Carbon-Steel Tubular Surfaces Using Vacuum Arcs Driven by Transverse Magnetic Field. IEEE Transactions on Plasma Science. 41(8). 2068–2073. 1 indexed citations

14.

Yan, Na & Changlin Mei. (2013). A two-step local smoothing approach for exploring spatio-temporal patterns with application to the analysis of precipitation in the mainland of China during 1986–2005. Environmental and Ecological Statistics. 21(2). 373–390. 4 indexed citations

15.

Shi, Zongqian, Na Yan, Yingkui Zhang, et al.. (2012). Experimental investigation on the effect of vacuum arc on removing oxide layer on metal-tube surface in a transverse magnetic field. 293–296. 1 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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