Yuan-Lin Dong

671 total citations
17 papers, 556 citations indexed

About

Yuan-Lin Dong is a scholar working on Cellular and Molecular Neuroscience, Obstetrics and Gynecology and Immunology. According to data from OpenAlex, Yuan-Lin Dong has authored 17 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Obstetrics and Gynecology and 4 papers in Immunology. Recurrent topics in Yuan-Lin Dong's work include Neuropeptides and Animal Physiology (7 papers), Pregnancy and preeclampsia studies (5 papers) and Reproductive System and Pregnancy (4 papers). Yuan-Lin Dong is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Pregnancy and preeclampsia studies (5 papers) and Reproductive System and Pregnancy (4 papers). Yuan-Lin Dong collaborates with scholars based in United States, United Kingdom and Switzerland. Yuan-Lin Dong's co-authors include Chandra Yallampalli, Pandu R. Gangula, Madhu Chauhan, Gary D.V. Hankins, Yu Wang, Odd S. Steinsland, Sharon H. Nelson, Fang Li, Li Fang and Sunil J. Wimalawansa and has published in prestigious journals such as Circulation Research, The Journal of Clinical Endocrinology & Metabolism and American Journal of Obstetrics and Gynecology.

In The Last Decade

Yuan-Lin Dong

16 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan-Lin Dong United States 12 200 147 127 112 110 17 556
Uma Yallampalli United States 16 211 1.1× 226 1.5× 134 1.1× 70 0.6× 141 1.3× 31 646
Madhu Chauhan United States 19 252 1.3× 156 1.1× 346 2.7× 144 1.3× 75 0.7× 44 777
R. J. Woods United Kingdom 12 151 0.8× 162 1.1× 92 0.7× 92 0.8× 53 0.5× 17 645
Meena Balakrishnan United States 14 197 1.0× 176 1.2× 70 0.6× 96 0.9× 72 0.7× 31 444
G Pontonnier France 16 99 0.5× 154 1.0× 116 0.9× 54 0.5× 47 0.4× 47 629
María Fernanda Garcés Colombia 16 156 0.8× 117 0.8× 39 0.3× 90 0.8× 168 1.5× 23 595
Robert F. Elder United States 12 95 0.5× 65 0.4× 77 0.6× 87 0.8× 31 0.3× 15 533
B. Velkeniers Belgium 16 47 0.2× 66 0.4× 127 1.0× 39 0.3× 38 0.3× 43 655
David L. Olive United States 11 788 3.9× 42 0.3× 251 2.0× 205 1.8× 67 0.6× 23 1.3k
F.A.C. le Noble Netherlands 10 148 0.7× 196 1.3× 31 0.2× 36 0.3× 130 1.2× 10 634

Countries citing papers authored by Yuan-Lin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yuan-Lin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan-Lin Dong. 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 Yuan-Lin Dong. The network helps show where Yuan-Lin Dong may publish in the future.

Co-authorship network of co-authors of Yuan-Lin Dong

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

All Works

17 of 17 papers shown
1.
Wang, Yu-tong, et al.. (2025). Compound kushen injection inhibits breast cancer lung metastasis through regulating MTSS1/ARPC3/F-actin. Journal of Ethnopharmacology. 350. 120054–120054. 1 indexed citations
2.
Leung, Yee, et al.. (2018). An integrated web-based air pollution decision support system – a prototype. International Journal of Geographical Information Systems. 32(9). 1787–1814. 11 indexed citations
4.
Chauhan, Madhu, Uma Yallampalli, Yuan-Lin Dong, Gary D.V. Hankins, & Chandra Yallampalli. (2009). Expression of Adrenomedullin 2 (ADM2)/Intermedin (IMD) in Human Placenta: Role in Trophoblast Invasion and Migration1. Biology of Reproduction. 81(4). 777–783. 33 indexed citations
5.
Dong, Yuan-Lin, Madhu Chauhan, Hui-Qun Wang, et al.. (2007). Calcitonin Gene-Related Peptide (CALCA) Is a Proangiogenic Growth Factor in the Human Placental Development1. Biology of Reproduction. 76(5). 892–899. 31 indexed citations
6.
Dong, Yuan-Lin, et al.. (2006). Circulating calcitonin gene-related peptide and its placental origins in normotensive and preeclamptic pregnancies. American Journal of Obstetrics and Gynecology. 195(6). 1657–1667. 15 indexed citations
7.
Dong, Yuan-Lin, Gary D.V. Hankins, Elizabeth Martín, et al.. (2005). Evidence for Decreased Calcitonin Gene-Related Peptide (CGRP) Receptors and Compromised Responsiveness to CGRP of Fetoplacental Vessels in Preeclamptic Pregnancies. The Journal of Clinical Endocrinology & Metabolism. 90(4). 2336–2343. 54 indexed citations
8.
Vigushin, David M., Yuan-Lin Dong, Lindsey Inman, et al.. (2004). The Nuclear Oxysterol Receptor LXRα Is Expressed in the Normal Human Breast and in Breast Cancer. Medical Oncology. 21(2). 123–132. 28 indexed citations
9.
Dong, Yuan-Lin, et al.. (2004). Involvement of calcitonin gene-related peptide in control of human fetoplacental vascular tone. American Journal of Physiology-Heart and Circulatory Physiology. 286(1). H230–H239. 53 indexed citations
11.
Gangula, Pandu R., Yuan-Lin Dong, Sunil J. Wimalawansa, & Chandra Yallampalli. (2002). Infusion of Pregnant Rats with Calcitonin Gene-Related Peptide (CGRP)8-37, a CGRP Receptor Antagonist, Increases Blood Pressure and Fetal Mortality and Decreases Fetal Growth1. Biology of Reproduction. 67(2). 624–629. 38 indexed citations
12.
Nelson, Sharon H., et al.. (2000). Increased Nitric Oxide Synthase Activity and Expression in the Human Uterine Artery During Pregnancy. Circulation Research. 87(5). 406–411. 129 indexed citations
13.
Dong, Yuan-Lin, et al.. (1998). Nitric oxide reverses prostaglandin-induced inhibition in ovarian progesterone secretion in rats. Journal of the Society for Gynecologic Investigation. 5(1). 105A–105A. 1 indexed citations
14.
Dong, Yuan-Lin, Li Fang, Pandu R. Gangula, & Chandra Yallampalli. (1998). Regulation of Inducible Nitric Oxide Synthase Messenger Ribonucleic Acid Expression in Pregnant Rat Uterus1. Biology of Reproduction. 59(4). 933–940. 33 indexed citations
15.
Fang, Li, et al.. (1998). Immunohistochemical localization of constitutive and inducible cyclo-oxygenases in rat uterus during the oestrous cycle and pregnancy. The Histochemical Journal. 30(6). 383–391. 16 indexed citations
16.
Yallampalli, Chandra, Yuan-Lin Dong, Pandu R. Gangula, & Fang Li. (1998). Role and regulation of nitric oxide in the uterus during pregnancy and parturition. Journal of the Society for Gynecologic Investigation. 5(2). 58–67. 80 indexed citations
17.
Yallampalli, Chandra, Pandu R. Gangula, Yuan-Lin Dong, Fang Lian, & Sunil J. Wimalawansa. (1998). Calcitonin Gene-Related Peptide (CGRP) receptor binding and localization in nonpregnant and pregnant rat uterus and regulation by sex steroid hormones. Journal of the Society for Gynecologic Investigation. 5(1). 73A–73A. 2 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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