Shan Luo

1.9k total citations
78 papers, 1.2k citations indexed

About

Shan Luo is a scholar working on Public Health, Environmental and Occupational Health, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Shan Luo has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Public Health, Environmental and Occupational Health, 16 papers in Cognitive Neuroscience and 15 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Shan Luo's work include Obesity, Physical Activity, Diet (14 papers), Regulation of Appetite and Obesity (12 papers) and Birth, Development, and Health (11 papers). Shan Luo is often cited by papers focused on Obesity, Physical Activity, Diet (14 papers), Regulation of Appetite and Obesity (12 papers) and Birth, Development, and Health (11 papers). Shan Luo collaborates with scholars based in United States, China and South Africa. Shan Luo's co-authors include John Monterosso, Kathleen A. Page, George Ainslie, Jasmin M. Alves, Anny H. Xiang, Ting Chow, Qiguo Lian, Payam Piray, Chaohua Lou and Yanyan Mao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Shan Luo

67 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Luo United States 21 381 249 217 201 199 78 1.2k
Joel Erblich United States 28 220 0.6× 124 0.5× 256 1.2× 185 0.9× 316 1.6× 62 1.7k
Erik de Water United States 18 308 0.8× 31 0.1× 211 1.0× 148 0.7× 15 0.1× 41 894
Jennifer A. Minnix United States 23 545 1.4× 154 0.6× 349 1.6× 325 1.6× 584 2.9× 63 1.6k
Almıla Erol Türkiye 17 157 0.4× 149 0.6× 133 0.6× 297 1.5× 91 0.5× 37 1.4k
Jacqueline Pei Canada 26 161 0.4× 155 0.6× 119 0.5× 229 1.1× 90 0.5× 120 2.0k
Dustin C. Lee United States 20 116 0.3× 60 0.2× 123 0.6× 193 1.0× 406 2.0× 38 1.3k
Julie E. Yonker United States 13 147 0.4× 72 0.3× 99 0.5× 132 0.7× 36 0.2× 19 928
Michael Gibertini United States 19 100 0.3× 204 0.8× 191 0.9× 301 1.5× 250 1.3× 34 1.7k
Theodore H. Whitfield United States 11 140 0.4× 493 2.0× 132 0.6× 538 2.7× 66 0.3× 17 1.4k
Carl Roberts United Kingdom 17 170 0.4× 123 0.5× 82 0.4× 304 1.5× 98 0.5× 55 899

Countries citing papers authored by Shan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Shan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Luo. A scholar is included among the top collaborators of Shan Luo 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 Shan Luo. Shan Luo 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.
Veit, Ralf, Shan Luo, Andreas L. Birkenfeld, et al.. (2025). Influence of insulin sensitivity on food cue evoked functional brain connectivity in children. NeuroImage. 310. 121154–121154.
2.
Habibi, Assal, et al.. (2025). Longitudinal Effects of Continuous Music Training on Cognitive Development: Evidence From the Adolescent Brain Cognitive Development (ABCD) Study. Annals of the New York Academy of Sciences. 1553(1). 283–299.
3.
Li, Yixun, et al.. (2024). DNMT1 inhibition improves the activity of memory-like natural killer cells by enhancing the level of autophagy. Molecular Biology Reports. 52(1). 68–68. 2 indexed citations
4.
Veit, Ralf, Shan Luo, Ting Chow, et al.. (2024). Exposure to gestational diabetes mellitus in utero impacts hippocampal functional connectivity in response to food cues in children. International Journal of Obesity. 48(12). 1728–1734. 2 indexed citations
5.
Scheres, Anouk, et al.. (2024). Pavlovian impatience: The anticipation of immediate rewards increases approach behaviour. Cognitive Affective & Behavioral Neuroscience. 25(2). 358–376. 3 indexed citations
6.
Luo, Shan, et al.. (2023). Acoustic and Perceptual Categorization of Sibilants for Mandarin Children With Ankyloglossia. American Journal of Speech-Language Pathology. 32(4). 1489–1500.
7.
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9.
Luo, Shan, Eustace Hsu, Katherine E. Lawrence, et al.. (2023). Associations among prenatal exposure to gestational diabetes mellitus, brain structure, and child adiposity markers. Obesity. 31(11). 2699–2708. 6 indexed citations
10.
Alves, Jasmin M., et al.. (2022). Relationships between physical activity, healthy eating and cortical thickness in children and young adults. Brain Imaging and Behavior. 16(6). 2690–2704. 3 indexed citations
11.
Alves, Jasmin M., Jennifer Zink, Ting Chow, et al.. (2021). Child physical activity as a modifier of the relationship between prenatal exposure to maternal overweight/obesity and neurocognitive outcomes in offspring. International Journal of Obesity. 45(6). 1310–1320. 4 indexed citations
12.
Zhang, Yan, Xiayun Zuo, Yanyan Mao, et al.. (2021). Co-occurrence subgroups of child sexual abuse, health risk behaviors and their associations among secondary school students in China. BMC Public Health. 21(1). 1139–1139. 7 indexed citations
13.
Smith, Kathryn E., Shan Luo, & Tyler B. Mason. (2021). A systematic review of neural correlates of dysregulated eating associated with obesity risk in youth. Neuroscience & Biobehavioral Reviews. 124. 245–266. 13 indexed citations
14.
Lian, Qiguo, et al.. (2020). Maternal exposure to Wenchuan earthquake and prolonged risk of offspring birth outcomes: a natural experiment study. BMC Pregnancy and Childbirth. 20(1). 552–552. 10 indexed citations
15.
Luo, Shan, Sydney O’Connor, Britni R. Belcher, & Kathleen A. Page. (2018). Effects of Physical Activity and Sedentary Behavior on Brain Response to High‐Calorie Food Cues in Young Adults. Obesity. 26(3). 540–546. 21 indexed citations
16.
Luo, Shan, et al.. (2015). English learners' perception and production of Mandarin intonation.. ICPhS. 1 indexed citations
17.
Wang, Qiang, Shan Luo, John Monterosso, et al.. (2014). Distributed Value Representation in the Medial Prefrontal Cortex during Intertemporal Choices. Journal of Neuroscience. 34(22). 7522–7530. 66 indexed citations
18.
Luo, Shan, Shangwei Li, Xiaohong Li, Yu Bai, & Song Jin. (2013). Effect of gonadotropin-releasing hormone antagonists on intrauterine insemination cycles in women with polycystic ovary syndrome: a meta-analysis. Gynecological Endocrinology. 30(4). 255–259. 3 indexed citations
19.
Monterosso, John, Payam Piray, & Shan Luo. (2012). Neuroeconomics and the Study of Addiction. Biological Psychiatry. 72(2). 107–112. 53 indexed citations
20.
Luo, Shan, et al.. (2009). Behavioral and Neural Evidence of Incentive Bias for Immediate Rewards Relative to Preference-Matched Delayed Rewards. Journal of Neuroscience. 29(47). 14820–14827. 77 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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