Emily Su

2.8k total citations
39 papers, 1.6k citations indexed

About

Emily Su is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Emily Su has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Obstetrics and Gynecology, 19 papers in Pediatrics, Perinatology and Child Health and 10 papers in Genetics. Recurrent topics in Emily Su's work include Pregnancy and preeclampsia studies (23 papers), Birth, Development, and Health (15 papers) and Estrogen and related hormone effects (8 papers). Emily Su is often cited by papers focused on Pregnancy and preeclampsia studies (23 papers), Birth, Development, and Health (15 papers) and Estrogen and related hormone effects (8 papers). Emily Su collaborates with scholars based in United States, Japan and Türkiye. Emily Su's co-authors include Serdar E. Bulun, Mary Ellen Pavone, Hideki Tokunaga, Qing Xue, Erkut Attar, Matthew T. Dyson, Ping Yin, Linda M. Ernst, Dongeun Huh and Samuel Parry and has published in prestigious journals such as Cell, Development and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Emily Su

38 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily Su United States 18 803 624 505 400 382 39 1.6k
Emin Türkay Korgun Türkiye 21 642 0.8× 189 0.3× 356 0.7× 128 0.3× 376 1.0× 60 1.3k
Shuangbo Kong China 20 464 0.6× 799 1.3× 910 1.8× 266 0.7× 416 1.1× 72 1.6k
Gaurang S. Daftary United States 20 442 0.6× 762 1.2× 666 1.3× 304 0.8× 427 1.1× 52 1.4k
David R.C. Natale Canada 24 720 0.9× 143 0.2× 331 0.7× 253 0.6× 920 2.4× 53 1.9k
Matsuto Mochizuki Japan 23 443 0.6× 377 0.6× 319 0.6× 215 0.5× 396 1.0× 101 1.8k
Sandra Bauer Austria 12 507 0.6× 316 0.5× 437 0.9× 105 0.3× 439 1.1× 16 1.1k
Shannon M. Hawkins United States 21 753 0.9× 1.1k 1.8× 858 1.7× 229 0.6× 698 1.8× 46 2.1k
Mikihiro Yoshie Japan 21 296 0.4× 339 0.5× 475 0.9× 126 0.3× 276 0.7× 51 952
Daniel H. Riddick United States 22 678 0.8× 977 1.6× 783 1.6× 197 0.5× 138 0.4× 52 1.7k
Mark Kibschull Canada 21 299 0.4× 180 0.3× 211 0.4× 126 0.3× 746 2.0× 34 1.3k

Countries citing papers authored by Emily Su

Since Specialization
Citations

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

Fields of papers citing papers by Emily Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Su

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Su. A scholar is included among the top collaborators of Emily Su 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 Emily Su. Emily Su 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.
Moore, Brianna F., Noel T. Mueller, Wei Perng, et al.. (2024). Impact of prenatal exposure to delta 9‐tetrahydrocannabinol and cannabidiol on birth size and postnatal growth trajectories. Pediatric Obesity. 20(1). e13187–e13187. 1 indexed citations
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Gumina, Diane L., et al.. (2022). Dysregulation of integrin αvβ3 and α5β1 impedes migration of placental endothelial cells in fetal growth restriction. Development. 149(19). dev200717–dev200717. 5 indexed citations
5.
Ouyang, Yingshi, Tarique Rajasaheb Bagalkot, Wendy Fitzgerald, et al.. (2021). Term Human Placental Trophoblasts Express SARS-CoV-2 Entry Factors ACE2, TMPRSS2, and Furin. mSphere. 6(2). 41 indexed citations
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Mestan, Karen K., Nina Gotteiner, Nicolas Porta, et al.. (2017). Cord Blood Biomarkers of Placental Maternal Vascular Underperfusion Predict Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension. The Journal of Pediatrics. 185. 33–41. 62 indexed citations
8.
Phua, Siew Cheng, Shuhei Chiba, Masako Suzuki, et al.. (2017). Dynamic Remodeling of Membrane Composition Drives Cell Cycle through Primary Cilia Excision. Cell. 168(1-2). 264–279.e15. 260 indexed citations
9.
Gumina, Diane L. & Emily Su. (2017). Endothelial Progenitor Cells of the Human Placenta and Fetoplacental Circulation: A Potential Link to Fetal, Neonatal, and Long-term Health. Frontiers in Pediatrics. 5. 41–41. 13 indexed citations
10.
Palatnik, Anna, Hong Xin, & Emily Su. (2016). Dichotomous effects of aryl hydrocarbon receptor (AHR) activation on human fetoplacental endothelial cell function. Placenta. 44. 61–68. 9 indexed citations
11.
Su, Emily. (2015). Role of the fetoplacental endothelium in fetal growth restriction with abnormal umbilical artery Doppler velocimetry. American Journal of Obstetrics and Gynecology. 213(4). S123–S130. 35 indexed citations
12.
Ernst, Linda M., et al.. (2014). Cord blood biomarkers of vascular endothelial growth (VEGF and sFlt-1) and postnatal growth: A preterm birth cohort study. Early Human Development. 90(4). 195–200. 28 indexed citations
13.
Su, Emily, Hong Xin, Ping Yin, et al.. (2014). Impaired Fetoplacental Angiogenesis in Growth-Restricted Fetuses With Abnormal Umbilical Artery Doppler Velocimetry Is Mediated by Aryl Hydrocarbon Receptor Nuclear Translocator (ARNT). The Journal of Clinical Endocrinology & Metabolism. 100(1). E30–E40. 33 indexed citations
14.
Ernst, Linda M., Lucy Minturn, Michael H. Huang, Elizabeth Curry, & Emily Su. (2013). Gross patterns of umbilical cord coiling: Correlations with placental histology and stillbirth. Placenta. 34(7). 583–588. 58 indexed citations
15.
Su, Emily, Linda M. Ernst, Robert T. Chatterton, et al.. (2011). Estrogen Receptor-β and Fetoplacental Endothelial Prostanoid Biosynthesis: A Link to Clinically Demonstrated Fetal Growth Restriction. The Journal of Clinical Endocrinology & Metabolism. 96(10). E1558–E1567. 24 indexed citations
16.
Bulun, Serdar E., You-Hong Cheng, Mary Ellen Pavone, et al.. (2010). Estrogen Receptor-β, Estrogen Receptor-α, and Progesterone Resistance in Endometriosis. Seminars in Reproductive Medicine. 28(1). 36–43. 200 indexed citations
17.
Luo, Xia, John S. Coon, Emily Su, et al.. (2010). LAT1 Regulates Growth of Uterine Leiomyoma Smooth Muscle Cells. Reproductive Sciences. 17(9). 791–797. 6 indexed citations
18.
Su, Emily, Rana Zeine, Ping Yin, et al.. (2009). Estrogen receptor-beta mediates cyclooxygenase-2 expression and vascular prostanoid levels in human placental villous endothelial cells. American Journal of Obstetrics and Gynecology. 200(4). 427.e1–427.e8. 30 indexed citations
19.
Bulun, Serdar E., Hiroki Utsunomiya, Zhihong Lin, et al.. (2008). Steroidogenic factor-1 and endometriosis. Molecular and Cellular Endocrinology. 300(1-2). 104–108. 67 indexed citations
20.
Su, Emily, You-Hong Cheng, Robert T. Chatterton, et al.. (2007). Regulation of 17-Beta Hydroxysteroid Dehydrogenase Type 2 in Human Placental Endothelial Cells1. Biology of Reproduction. 77(3). 517–525. 23 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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