Qi Yan

2.0k total citations
34 papers, 833 citations indexed

About

Qi Yan is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Qi Yan has authored 34 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Pediatrics, Perinatology and Child Health and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Qi Yan's work include Birth, Development, and Health (8 papers), Health, Environment, Cognitive Aging (8 papers) and Epigenetics and DNA Methylation (7 papers). Qi Yan is often cited by papers focused on Birth, Development, and Health (8 papers), Health, Environment, Cognitive Aging (8 papers) and Epigenetics and DNA Methylation (7 papers). Qi Yan collaborates with scholars based in United States, China and Denmark. Qi Yan's co-authors include Beate Ritz, Dean P. Jones, Zeyan Liew, Douglas I. Walker, Saud Sadiq, Violaine Harris, Kimberly C. Paul, Karan Uppal, Tamara Vyshkina and Ondine S. von Ehrenstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Environmental Pollution.

In The Last Decade

Qi Yan

33 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Yan United States 17 281 232 134 93 88 34 833
Pen‐Hua Su Taiwan 22 681 2.4× 228 1.0× 319 2.4× 84 0.9× 144 1.6× 103 1.6k
Paul Curtin United States 22 628 2.2× 253 1.1× 180 1.3× 43 0.5× 43 0.5× 77 1.6k
Kunio Miyake Japan 20 188 0.7× 564 2.4× 178 1.3× 66 0.7× 48 0.5× 87 1.3k
Choong Ho Shin South Korea 29 503 1.8× 416 1.8× 406 3.0× 55 0.6× 88 1.0× 216 2.5k
Barbara Predieri Italy 25 256 0.9× 212 0.9× 275 2.1× 11 0.1× 52 0.6× 90 1.7k
Stephanie J.B. Fretham United States 13 152 0.5× 150 0.6× 193 1.4× 58 0.6× 10 0.1× 15 878
Rebecca Watson United States 11 108 0.4× 183 0.8× 139 1.0× 37 0.4× 19 0.2× 28 689
Byung Chul Son South Korea 20 119 0.4× 97 0.4× 61 0.5× 41 0.4× 62 0.7× 62 1.2k
Marco Sánchez-Guerra Mexico 19 628 2.2× 254 1.1× 177 1.3× 36 0.4× 96 1.1× 35 998
Andrea Stoccoro Italy 19 136 0.5× 733 3.2× 83 0.6× 17 0.2× 73 0.8× 46 1.3k

Countries citing papers authored by Qi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Qi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Yan. A scholar is included among the top collaborators of Qi 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 Qi Yan. Qi Yan 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.
He, Di, Qi Yan, Karan Uppal, et al.. (2025). An untargeted metabolome-wide association study of maternal perinatal tobacco smoking in newborn blood spots. Metabolomics. 21(2). 30–30. 1 indexed citations
2.
Haghani, Amin, Ake T Lu, Qi Yan, et al.. (2025). EnsembleAge: enhancing epigenetic age assessment with a multi-clock framework. GeroScience. 48(2). 2873–2886.
3.
Li, Caesar Z., Amin Haghani, Qi Yan, et al.. (2024). Epigenetic predictors of species maximum life span and other life-history traits in mammals. Science Advances. 10(23). eadm7273–eadm7273. 21 indexed citations
4.
Liew, Zeyan, Qi Yan, Jörg Schullehner, et al.. (2023). Association Between Estimated Geocoded Residential Maternal Exposure to Lithium in Drinking Water and Risk for Autism Spectrum Disorder in Offspring in Denmark. JAMA Pediatrics. 177(6). 617–617. 14 indexed citations
5.
Yan, Qi, Di He, Douglas I. Walker, et al.. (2023). The neonatal blood spot metabolome in retinoblastoma. SHILAP Revista de lepidopterología. 2. 100123–100123. 5 indexed citations
6.
Guo, Pengfei, Vasilis Vasiliou, Qi Yan, et al.. (2022). Non-targeted metabolomics and associations with per- and polyfluoroalkyl substances (PFAS) exposure in humans: A scoping review. Environment International. 162. 107159–107159. 91 indexed citations
7.
Ritz, Beate, Qi Yan, Di He, et al.. (2021). Child serum metabolome and traffic-related air pollution exposure in pregnancy. Environmental Research. 203. 111907–111907. 25 indexed citations
8.
Yan, Qi, Kimberly C. Paul, Douglas I. Walker, et al.. (2021). High-Resolution Metabolomic Assessment of Pesticide Exposure in Central Valley, California. Chemical Research in Toxicology. 34(5). 1337–1347. 21 indexed citations
9.
Kim, Ja Hyeong, Qi Yan, Karan Uppal, et al.. (2021). Metabolomics analysis of maternal serum exposed to high air pollution during pregnancy and risk of autism spectrum disorder in offspring. Environmental Research. 196. 110823–110823. 17 indexed citations
10.
Ritz, Beate, Qi Yan, Karan Uppal, et al.. (2020). Untargeted Metabolomics Screen of Mid‐pregnancy Maternal Serum and Autism in Offspring. Autism Research. 13(8). 1258–1269. 25 indexed citations
11.
Furlong, Melissa, Kimberly C. Paul, Qi Yan, et al.. (2020). An epigenome-wide association study of ambient pyrethroid pesticide exposures in California's central valley. International Journal of Hygiene and Environmental Health. 229. 113569–113569. 23 indexed citations
12.
Inoue, Kosuke, Qi Yan, Onyebuchi A. Arah, et al.. (2020). Air Pollution and Adverse Pregnancy and Birth Outcomes: Mediation Analysis Using Metabolomic Profiles. Current Environmental Health Reports. 7(3). 231–242. 45 indexed citations
13.
Inoue, Kosuke, Elizabeth Rose Mayeda, Kimberly C. Paul, et al.. (2020). Mediation of the Associations of Physical Activity With Cardiovascular Events and Mortality by Diabetes in Older Mexican Americans. American Journal of Epidemiology. 189(10). 1124–1133. 10 indexed citations
14.
Tang, Mengling, Chenye Xu, Kun Chen, et al.. (2019). Hexachlorocyclohexane exposure alters the microbiome of colostrum in Chinese breastfeeding mothers. Environmental Pollution. 254(Pt A). 112900–112900. 12 indexed citations
15.
Yan, Qi, Zeyan Liew, Karan Uppal, et al.. (2019). Maternal serum metabolome and traffic-related air pollution exposure in pregnancy. Environment International. 130. 104872–104872. 75 indexed citations
16.
Yan, Qi, Zeyan Liew, Karan Uppal, Dean P. Jones, & Beate Ritz. (2018). Air Pollution and Metabolomics in Maternal Serum. ISEE Conference Abstracts. 2018(1). 1 indexed citations
17.
Yan, Qi, et al.. (2017). MicroRNA-873 is a Potential Serum Biomarker for the Detection of Ectopic Pregnancy. Cellular Physiology and Biochemistry. 41(6). 2513–2522. 13 indexed citations
18.
Yan, Qi, et al.. (2015). Diagnostic value of the plasmatic ADM level for early ectopic pregnancy.. PubMed. 8(11). 14812–7. 5 indexed citations
19.
Harris, Violaine, et al.. (2013). Cerebrospinal fluid fetuin-A is a biomarker of active multiple sclerosis. Multiple Sclerosis Journal. 19(11). 1462–1472. 45 indexed citations
20.
Harris, Violaine, et al.. (2011). Clinical and pathological effects of intrathecal injection of mesenchymal stem cell-derived neural progenitors in an experimental model of multiple sclerosis. Journal of the Neurological Sciences. 313(1-2). 167–177. 92 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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