Min‐Shan Lu

606 total citations
25 papers, 369 citations indexed

About

Min‐Shan Lu is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Min‐Shan Lu has authored 25 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pediatrics, Perinatology and Child Health, 12 papers in Public Health, Environmental and Occupational Health and 10 papers in Obstetrics and Gynecology. Recurrent topics in Min‐Shan Lu's work include Birth, Development, and Health (10 papers), Gestational Diabetes Research and Management (9 papers) and Obesity, Physical Activity, Diet (7 papers). Min‐Shan Lu is often cited by papers focused on Birth, Development, and Health (10 papers), Gestational Diabetes Research and Management (9 papers) and Obesity, Physical Activity, Diet (7 papers). Min‐Shan Lu collaborates with scholars based in China, United Kingdom and Hong Kong. Min‐Shan Lu's co-authors include Cai‐Xia Zhang, Xiu Qiu, Jinhua Lu, Weiping Luo, Songying Shen, Jianrong He, Yujing Fang, Xiong‐Fei Mo, Yu‐Ming Chen and Xiao Yan Zhong and has published in prestigious journals such as PLoS ONE, Scientific Reports and British Journal Of Nutrition.

In The Last Decade

Min‐Shan Lu

23 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min‐Shan Lu China 11 134 127 120 48 41 25 369
Liana Pleș Romania 12 116 0.9× 91 0.7× 132 1.1× 29 0.6× 60 1.5× 57 449
Antonio Schiattarella Italy 14 108 0.8× 125 1.0× 270 2.3× 9 0.2× 36 0.9× 36 534
Abha Singh India 12 187 1.4× 97 0.8× 206 1.7× 21 0.4× 9 0.2× 63 388
Xiao-Ou Shu United States 7 34 0.3× 104 0.8× 60 0.5× 28 0.6× 31 0.8× 7 293
Najmeh Tehranian Iran 10 45 0.3× 112 0.9× 107 0.9× 9 0.2× 27 0.7× 43 333
Sun Eun Lee United States 11 159 1.2× 102 0.8× 73 0.6× 24 0.5× 69 1.7× 18 508
Rauf Melekoğlu Türkiye 10 170 1.3× 145 1.1× 189 1.6× 5 0.1× 67 1.6× 57 525
Maria Le Donne Italy 14 42 0.3× 90 0.7× 59 0.5× 9 0.2× 63 1.5× 31 408
Raphaela Costa Ferreira Brazil 10 207 1.5× 98 0.8× 247 2.1× 7 0.1× 26 0.6× 23 444
Sabika Allehdan Jordan 11 26 0.2× 127 1.0× 55 0.5× 12 0.3× 16 0.4× 52 310

Countries citing papers authored by Min‐Shan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Shan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Shan Lu. 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 Min‐Shan Lu. The network helps show where Min‐Shan Lu may publish in the future.

Co-authorship network of co-authors of Min‐Shan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Shan Lu. A scholar is included among the top collaborators of Min‐Shan Lu 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 Min‐Shan Lu. Min‐Shan Lu 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.
2.
Wang, Wensong, et al.. (2024). Broadband 3-D Omnidirectional Magnetic Induction-Based Sensor Module for Partial Discharge Detection of High-Voltage Equipment in IIoT Application. IEEE Internet of Things Journal. 12(2). 1831–1842. 1 indexed citations
3.
Lu, Min‐Shan, Rema Ramakrishnan, Chang Gao, et al.. (2024). Weight status changes from childhood to adulthood were associated with cardiometabolic outcomes in adulthood. Acta Paediatrica. 113(9). 2126–2133.
4.
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Fang, Zhongyuan, Kai Tang, Liheng Lou, et al.. (2022). A Silicon-Based Radio Platform for Integrated Edge Sensing and Communication Toward Sustainable Healthcare. IEEE Transactions on Microwave Theory and Techniques. 71(3). 1296–1311. 6 indexed citations
6.
Shen, Songying, Peiyuan Huang, Xiong Xiao, et al.. (2022). Gestational weight gain rates in the first and second trimesters are associated with small for gestational age among underweight women: a prospective birth cohort study. BMC Pregnancy and Childbirth. 22(1). 106–106. 9 indexed citations
7.
Huang, Peiyuan, Yixin Guo, Shanshan Yuan, et al.. (2021). Association Between the COVID-19 Pandemic and Infant Neurodevelopment: A Comparison Before and During COVID-19. Frontiers in Pediatrics. 9. 662165–662165. 42 indexed citations
8.
Huang, Peiyuan, Chang Gao, Songying Shen, et al.. (2021). Associations of maternal weight status with the risk of offspring atopic dermatitis and wheezing by 1 year of age. Pediatric Allergy and Immunology. 33(1). e13703–e13703. 11 indexed citations
9.
Huang, Peiyuan, Dongmei Wei, Wanqing Xiao, et al.. (2020). Maternal dietary patterns and depressive symptoms during pregnancy: The Born in Guangzhou Cohort Study. Clinical Nutrition. 40(5). 3485–3494. 8 indexed citations
10.
Wei, Dongmei, Shiu Lun Au Yeung, Min‐Shan Lu, et al.. (2020). Association between prenatal depressive symptoms and eczema in infants: The Born in Guangzhou Cohort Study. Pediatric Allergy and Immunology. 31(6). 662–670. 5 indexed citations
11.
Wang, Aolin, Jinhua Lu, Jianrong He, et al.. (2019). Family socioeconomic position and abnormal birth weight: evidence from a Chinese birth cohort. World Journal of Pediatrics. 15(5). 483–491. 9 indexed citations
12.
Lu, Min‐Shan, Jianrong He, Qiaozhu Chen, et al.. (2018). Maternal dietary patterns during pregnancy and preterm delivery: a large prospective cohort study in China. Nutrition Journal. 17(1). 71–71. 33 indexed citations
13.
He, Jianrong, Min‐Shan Lu, Qianling Zhou, et al.. (2018). The influence of maternal dietary patterns on gestational weight gain: A large prospective cohort study in China. Nutrition. 59. 90–95. 18 indexed citations
14.
Zhang, Cai‐Xia, Weiqing Long, Yanbin Ye, et al.. (2018). Effects of chocolate-based products intake on blood glucose, insulin and ghrelin levels and on satiety in young people: a cross-over experimental study. International Journal of Food Sciences and Nutrition. 69(7). 882–891. 1 indexed citations
15.
Qiu, Xiu, Jinhua Lu, Jianrong He, et al.. (2017). The Born in Guangzhou Cohort Study (BIGCS). European Journal of Epidemiology. 32(4). 337–346. 54 indexed citations
16.
He, Jianrong, Weidong Li, Min‐Shan Lu, et al.. (2017). Birth weight changes in a major city under rapid socioeconomic transition in China. Scientific Reports. 7(1). 1031–1031. 12 indexed citations
17.
Yan, Bo, Min‐Shan Lu, Lian Wang, et al.. (2015). Specific serum carotenoids are inversely associated with breast cancer risk among Chinese women: a case–control study. British Journal Of Nutrition. 115(1). 129–137. 45 indexed citations
18.
Ли, Бин, Lian Wang, Min‐Shan Lu, et al.. (2015). Passive Smoking and Breast Cancer Risk among Non-Smoking Women: A Case-Control Study in China. PLoS ONE. 10(4). e0125894–e0125894. 20 indexed citations
19.
Luo, Weiping, Yujing Fang, Min‐Shan Lu, et al.. (2015). High consumption of vegetable and fruit colour groups is inversely associated with the risk of colorectal cancer: a case–control study. British Journal Of Nutrition. 113(7). 1129–1138. 40 indexed citations
20.

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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