Yen Chan

683 total citations
10 papers, 382 citations indexed

About

Yen Chan is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Infectious Diseases. According to data from OpenAlex, Yen Chan has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Pediatrics, Perinatology and Child Health and 2 papers in Infectious Diseases. Recurrent topics in Yen Chan's work include Maternal Mental Health During Pregnancy and Postpartum (3 papers), Stress Responses and Cortisol (2 papers) and Viral Infections and Vectors (2 papers). Yen Chan is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (3 papers), Stress Responses and Cortisol (2 papers) and Viral Infections and Vectors (2 papers). Yen Chan collaborates with scholars based in United States, Brazil and Singapore. Yen Chan's co-authors include Alexandre Bonnin, Juan C. Velasquez, Nick Goeden, George M. Anderson, Brett T. Lund, Genhong Cheng, Suan‐Sin Foo, Karin Nielsen‐Saines, Jae U. Jung and Weiqiang Chen and has published in prestigious journals such as Journal of Neuroscience, Journal of The Electrochemical Society and Scientific Reports.

In The Last Decade

Yen Chan

10 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yen Chan United States 7 194 115 115 84 65 10 382
Kristin M. Milano United States 8 155 0.8× 96 0.8× 154 1.3× 176 2.1× 66 1.0× 13 449
Elizabeth Oler United States 5 134 0.7× 23 0.2× 62 0.5× 62 0.7× 75 1.2× 5 314
Nona Jiang United States 8 64 0.3× 170 1.5× 122 1.1× 44 0.5× 44 0.7× 16 626
Monique E. Maubert United States 7 101 0.5× 23 0.2× 105 0.9× 71 0.8× 176 2.7× 10 386
Justin Penner United Kingdom 8 51 0.3× 35 0.3× 76 0.7× 17 0.2× 34 0.5× 21 324
Morgan L. Sherer United States 9 194 1.0× 19 0.2× 48 0.4× 24 0.3× 36 0.6× 18 312
Matthew Darby South Africa 12 43 0.2× 58 0.5× 35 0.3× 27 0.3× 44 0.7× 14 522
Adrienne M. Antonson United States 11 59 0.3× 20 0.2× 45 0.4× 33 0.4× 27 0.4× 22 327
Emily L. Siegler United States 3 54 0.3× 19 0.2× 71 0.6× 25 0.3× 19 0.3× 4 386
Mili Mandal United States 6 49 0.3× 11 0.1× 42 0.4× 82 1.0× 31 0.5× 8 308

Countries citing papers authored by Yen Chan

Since Specialization
Citations

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

Fields of papers citing papers by Yen Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yen Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Yen Chan. A scholar is included among the top collaborators of Yen Chan 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 Yen Chan. Yen Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chon, Andrew H., et al.. (2019). Quantitative fetal fibronectin to predict spontaneous preterm delivery after laser surgery for twin-twin transfusion syndrome. Scientific Reports. 9(1). 4438–4438. 2 indexed citations
2.
Velasquez, Juan C., Qiuying Zhao, Yen Chan, et al.. (2019). In Utero Exposure to Citalopram Mitigates Maternal Stress Effects on Fetal Brain Development. ACS Chemical Neuroscience. 10(7). 3307–3317. 17 indexed citations
3.
Foo, Suan‐Sin, Weiqiang Chen, Yen Chan, et al.. (2018). Biomarkers and immunoprofiles associated with fetal abnormalities of ZIKV-positive pregnancies. JCI Insight. 3(21). 28 indexed citations
4.
Woo, Irene, Yen Chan, Intira Sriprasert, et al.. (2017). The role of angiogenic markers in adverse perinatal outcomes: fresh versus frozen embryo transfers. Journal of Assisted Reproduction and Genetics. 34(12). 1639–1643. 6 indexed citations
5.
Foo, Suan‐Sin, Weiqiang Chen, Yen Chan, et al.. (2017). Asian Zika virus strains target CD14+ blood monocytes and induce M2-skewed immunosuppression during pregnancy. Nature Microbiology. 2(11). 1558–1570. 114 indexed citations
6.
Goeden, Nick, Juan C. Velasquez, Yen Chan, et al.. (2016). Maternal Inflammation Disrupts Fetal Neurodevelopment via Increased Placental Output of Serotonin to the Fetal Brain. Journal of Neuroscience. 36(22). 6041–6049. 191 indexed citations
7.
Chan, Yen, Juan C. Velasquez, & Alexandre Bonnin. (2015). 502: The effects of chronic unpredictable stress on maternal behavior and fetal brain development in a mouse model. American Journal of Obstetrics and Gynecology. 214(1). S274–S274. 1 indexed citations
8.
Shy, S.S., et al.. (2014). Comparison of Electrochemical Impedance Measurements between Pressurized Anode-Supported and Electrolyte-Supported Planar Solid Oxide Fuel Cells. Journal of The Electrochemical Society. 162(1). F172–F177. 8 indexed citations
9.
Baig, Sonia, Shirley S. Ho, Bee Ling Ng, et al.. (2010). Development of quantitative-fluorescence polymerase chain reaction for the rapid prenatal diagnosis of common chromosomal aneuploidies in 1,000 samples in Singapore.. PubMed. 51(4). 343–8. 7 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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