Jun Dai

1.0k total citations
35 papers, 795 citations indexed

About

Jun Dai is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Molecular Biology. According to data from OpenAlex, Jun Dai has authored 35 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 8 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Jun Dai's work include Obesity, Physical Activity, Diet (7 papers), Nutritional Studies and Diet (5 papers) and Workplace Health and Well-being (3 papers). Jun Dai is often cited by papers focused on Obesity, Physical Activity, Diet (7 papers), Nutritional Studies and Diet (5 papers) and Workplace Health and Well-being (3 papers). Jun Dai collaborates with scholars based in United States, China and Canada. Jun Dai's co-authors include Viola Vaccarino, Jack Goldberg, Linda Jones, Peter W.F. Wilson, Lucy Shallenberger, Thomas R. Ziegler, Andrew H. Miller, Nancy Murrah, J. Douglas Bremner and Dean P. Jones and has published in prestigious journals such as Circulation, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Jun Dai

31 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Dai United States 12 276 186 105 101 100 35 795
Huaixing Li China 14 156 0.6× 169 0.9× 132 1.3× 71 0.7× 173 1.7× 15 838
Hiromasa Tsujiguchi Japan 16 122 0.4× 153 0.8× 131 1.2× 62 0.6× 81 0.8× 67 665
Jaana Leiviskä Finland 18 183 0.7× 183 1.0× 63 0.6× 82 0.8× 302 3.0× 30 999
Pei-an Betty Shih United States 18 110 0.4× 152 0.8× 69 0.7× 61 0.6× 221 2.2× 29 1.0k
Sharmin Hossain United States 16 149 0.5× 233 1.3× 58 0.6× 44 0.4× 147 1.5× 64 854
J. B. Ruidavets France 17 320 1.2× 245 1.3× 122 1.2× 222 2.2× 202 2.0× 28 1.4k
Anna Jurczak Poland 15 152 0.6× 154 0.8× 99 0.9× 22 0.2× 208 2.1× 105 852
Dayeon Shin South Korea 22 578 2.1× 271 1.5× 219 2.1× 49 0.5× 85 0.8× 78 1.4k
José Firmino Nogueira Neto Brazil 17 144 0.5× 309 1.7× 150 1.4× 75 0.7× 201 2.0× 55 966
Georgios Valsamakis Greece 22 307 1.1× 384 2.1× 58 0.6× 126 1.2× 137 1.4× 62 1.4k

Countries citing papers authored by Jun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Dai. A scholar is included among the top collaborators of Jun Dai 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 Jun Dai. Jun Dai 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.
Li, Qianhua, Jian‐Da Ma, Jing‐Wei Gao, et al.. (2024). Association of serum concentrations of remnant cholesterol with incident cardiovascular disease in patients with rheumatoid arthritis: A real-world data from 2001 to 2022. International Journal of Cardiology. 405. 131947–131947. 2 indexed citations
2.
Pan, Jie, Jian‐Da Ma, Ying Yang, et al.. (2024). Cross-sectional associations of low body mass index and being underweight with joint damage in Chinese patients with rheumatoid arthritis. Rheumatology Advances in Practice. 8(3). rkae080–rkae080.
3.
Ma, Jian‐Da, Qian Zhang, Le‐Feng Chen, et al.. (2024). Geriatric nutrition risk index: a more powerful index identifying muscle mass loss in patients with rheumatoid arthritis. Clinical Rheumatology. 43(4). 1299–1310. 1 indexed citations
4.
5.
6.
Wang, Yi, et al.. (2020). The relationship between media exposure and mental health problems during COVID-19 outbreak. 47(2). 15 indexed citations
7.
Dai, Jun, et al.. (2018). An experimental study of cyclinD1 expression in human epithelial ovarian cancer cells. European Journal of Gynaecological Oncology. 39(2). 247–252. 1 indexed citations
8.
Dai, Jun, Ruth E. Krasnow, & Terry Reed. (2016). Midlife moderation-quantified healthy diet and 40-year mortality risk from CHD: the prospective National Heart, Lung, and Blood Institute Twin Study. British Journal Of Nutrition. 116(2). 326–334. 1 indexed citations
9.
Dai, Jun, Kenneth J. Mukamal, Ruth E. Krasnow, Gary E. Swan, & Terry Reed. (2015). Higher usual alcohol consumption was associated with a lower 41-y mortality risk from coronary artery disease in men independent of genetic and common environmental factors: the prospective NHLBI Twin Study. American Journal of Clinical Nutrition. 102(1). 31–39. 25 indexed citations
10.
Wu, Shenghui, Michael C. Neale, Anthony J. Acton, et al.. (2014). Genetic and Environmental Influences on the Prospective Correlation Between Systemic Inflammation and Coronary Heart Disease Death in Male Twins. Arteriosclerosis Thrombosis and Vascular Biology. 34(9). 2168–2174. 8 indexed citations
11.
Cao, Min, Fukang Sun, Xin Huang, et al.. (2013). Analysis of the inheritance pattern of a Chinese family with phaeochromocytomas through whole exome sequencing. Gene. 526(2). 164–169. 6 indexed citations
12.
Ferranti, Erin P., Sandra B. Dunbar, Melinda Higgins, et al.. (2013). Psychosocial factors associated with diet quality in a working adult population. Research in Nursing & Health. 36(3). 242–256. 36 indexed citations
13.
Dai, Jun, Thomas R. Ziegler, Roberd M. Bostick, et al.. (2010). High habitual dietary α-linolenic acid intake is associated with decreased plasma soluble interleukin-6 receptor concentrations in male twins. American Journal of Clinical Nutrition. 92(1). 177–185. 8 indexed citations
14.
Dai, Jun, Dean P. Jones, Jack Goldberg, et al.. (2008). Association between adherence to the Mediterranean diet and oxidative stress. American Journal of Clinical Nutrition. 88(5). 1364–1370. 193 indexed citations
15.
Vaccarino, Viola, Marie-Luise Brennan, Andrew H. Miller, et al.. (2008). Association of Major Depressive Disorder with Serum Myeloperoxidase and Other Markers of Inflammation: A Twin Study. Biological Psychiatry. 64(6). 476–483. 116 indexed citations
16.
Su, Shaoyong, Harold Snieder, Andrew H. Miller, et al.. (2008). Genetic and environmental influences on systemic markers of inflammation in middle-aged male twins. Atherosclerosis. 200(1). 213–220. 36 indexed citations
17.
Gregory, Cria O., Jun Dai, Manuel Ramírez‐Zea, & Aryeh D. Stein. (2007). Occupation Is More Important than Rural or Urban Residence in Explaining the Prevalence of Metabolic and Cardiovascular Disease Risk in Guatemalan Adults1. Journal of Nutrition. 137(5). 1314–1319. 47 indexed citations
18.
Pei, Wei-dong, Yao Li, Chaoyang Zhang, et al.. (2005). [Apolipoprotein B is associated with metabolic syndrome in Chinese pedigrees with familial hyperlipidemia].. PubMed. 85(5). 313–7. 3 indexed citations
19.
Dai, Jun. (2001). Compliance of Patients with Antihypertensive Therapy at Community in Shanghai. 1 indexed citations
20.
Dai, Jun. (2000). The Study on the Compliance of Patients with Antihypertensive Therapy and Influence Factors in Community. 2 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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