Saijun Huang

426 total citations
20 papers, 269 citations indexed

About

Saijun Huang is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Clinical Psychology. According to data from OpenAlex, Saijun Huang has authored 20 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Psychiatry and Mental health and 4 papers in Clinical Psychology. Recurrent topics in Saijun Huang's work include Autism Spectrum Disorder Research (10 papers), Child Nutrition and Feeding Issues (6 papers) and Climate Change and Health Impacts (3 papers). Saijun Huang is often cited by papers focused on Autism Spectrum Disorder Research (10 papers), Child Nutrition and Feeding Issues (6 papers) and Climate Change and Health Impacts (3 papers). Saijun Huang collaborates with scholars based in China, United States and Rwanda. Saijun Huang's co-authors include Hong Yu, Yanna Zhu, Jing Jin, Xi Su, Paul Yao, Rui Ma, Jie Shao, Tao Sun, Xuan Zhang and Yujie Liang and has published in prestigious journals such as The Science of The Total Environment, Annals of the New York Academy of Sciences and Nutrients.

In The Last Decade

Saijun Huang

18 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saijun Huang China 11 128 81 58 48 39 20 269
Farida El-Baz Egypt 10 193 1.5× 56 0.7× 165 2.8× 18 0.4× 35 0.9× 19 359
Yen‐Tzu Wu Taiwan 12 73 0.6× 96 1.2× 70 1.2× 46 1.0× 105 2.7× 28 550
Elizabeth Mumper United States 7 196 1.5× 62 0.8× 114 2.0× 15 0.3× 22 0.6× 9 342
Theodor Rais United States 5 104 0.8× 46 0.6× 79 1.4× 10 0.2× 38 1.0× 13 253
Sarah Francazio United States 9 61 0.5× 123 1.5× 38 0.7× 17 0.4× 113 2.9× 13 362
Abdulrahman A. Al‐Atram Saudi Arabia 8 181 1.4× 58 0.7× 167 2.9× 16 0.3× 20 0.5× 20 332
Ragna Bugge Askeland Norway 9 48 0.4× 54 0.7× 90 1.6× 15 0.3× 125 3.2× 16 315
Aditi Sabhlok United States 7 55 0.4× 36 0.4× 61 1.1× 19 0.4× 130 3.3× 10 315
Nicole B. Gidaya United States 4 63 0.5× 42 0.5× 64 1.1× 9 0.2× 56 1.4× 4 216
Beate Leppert United Kingdom 9 104 0.8× 74 0.9× 144 2.5× 7 0.1× 68 1.7× 13 347

Countries citing papers authored by Saijun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Saijun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saijun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Saijun Huang. A scholar is included among the top collaborators of Saijun Huang 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 Saijun Huang. Saijun Huang 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.
Chen, Fangfang, Jing Chen, Saijun Huang, et al.. (2025). Developing a simplified measure to predict the risk of autism spectrum disorders: Abbreviating the M-CHAT-R using a machine learning approach in China. Psychiatry Research. 344. 116353–116353. 2 indexed citations
2.
3.
Li, Hailin, Saijun Huang, Jing Jin, et al.. (2024). Dietary intake and gastrointestinal symptoms are altered in children with Autism Spectrum Disorder: the relative contribution of autism-linked traits. Nutrition Journal. 23(1). 27–27. 10 indexed citations
4.
Lin, Qingmei, Y. Gao, Yuewei Liu, et al.. (2024). Heat wave exposure during pregnancy and neurodevelopmental delay in young children: A birth cohort study. Environmental Research. 266. 120541–120541. 3 indexed citations
5.
Su, Xi, Saijun Huang, Zhilin Liu, et al.. (2023). Association between maternal parenting styles and behavioral problems in children with ASD: Moderating effect of maternal autistic traits. Frontiers in Psychiatry. 14. 5 indexed citations
6.
Fu, Jiaying, Qingmei Lin, Meijun Li, et al.. (2023). Associations between maternal exposure to air pollution during pregnancy and trajectories of infant growth: A birth cohort study. Ecotoxicology and Environmental Safety. 269. 115792–115792. 8 indexed citations
7.
8.
Yu, Hong, Yujie Liang, Baolin Chen, et al.. (2022). Maternal diabetes-mediated RORA suppression in mice contributes to autism-like offspring through inhibition of aromatase. Communications Biology. 5(1). 51–51. 16 indexed citations
9.
10.
Huang, Saijun, et al.. (2022). Prenatal Progestin Exposure-Mediated Oxytocin Suppression Contributes to Social Deficits in Mouse Offspring. Frontiers in Endocrinology. 13. 840398–840398. 8 indexed citations
11.
Wang, Xiaotong, Saijun Huang, Xiaoying He, et al.. (2022). Relationship of Early Anemia with Neurodevelopment and Brain Injury in Very Low Birth Weight Preterm Infants—A Prospective Cohort Study. Nutrients. 14(22). 4931–4931. 5 indexed citations
12.
Liang, Yujie, et al.. (2022). Hematopoietic stem cell transplantation ameliorates maternal diabetes–mediated gastrointestinal symptoms and autism‐like behavior in mouse offspring. Annals of the New York Academy of Sciences. 1512(1). 98–113. 13 indexed citations
13.
Huang, Saijun, Tao Sun, Yanna Zhu, et al.. (2021). Impact of the COVID-19 Pandemic on Children with ASD and Their Families: An Online Survey in China. Psychology Research and Behavior Management. Volume 14. 289–297. 34 indexed citations
14.
Su, Xi, Shiyu Zhang, Qingmei Lin, et al.. (2021). Prenatal exposure to air pollution and neurodevelopmental delay in children: A birth cohort study in Foshan, China. The Science of The Total Environment. 816. 151658–151658. 23 indexed citations
15.
Huang, Saijun, Xin Wang, Tao Sun, et al.. (2021). Association of Breastfeeding for the First Six Months of Life and Autism Spectrum Disorders: A National Multi-Center Study in China. Nutrients. 14(1). 45–45. 11 indexed citations
16.
Huang, Saijun, et al.. (2020). Low vitamin D status is associated with obesity but no other cardiovascular risk factors in Chinese children and adolescents. Nutrition Metabolism and Cardiovascular Diseases. 30(9). 1573–1581. 23 indexed citations
17.
Li, Jian, Xue Lin, Mingya Wang, et al.. (2020). Potential role of genomic imprinted genes and brain developmental related genes in autism. BMC Medical Genomics. 13(1). 54–54. 16 indexed citations
18.
Liang, Yujie, Hong Yu, Xiaoyin Ke, et al.. (2020). Vitamin D deficiency worsens maternal diabetes induced neurodevelopmental disorder by potentiating hyperglycemia‐mediated epigenetic changes. Annals of the New York Academy of Sciences. 1491(1). 74–88. 21 indexed citations
19.
Huang, Saijun, et al.. (2018). Reliability and Validity of the Chinese Version of Modified Checklist for Autism in Toddlers, Revised, with Follow-Up (M-CHAT-R/F). Journal of Autism and Developmental Disorders. 49(1). 185–196. 47 indexed citations
20.
Yu, Hong, et al.. (2010). Cultural influences on the bedtime behaviour of Chinese children. Biological Rhythm Research. 41(3). 183–202. 3 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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