Chandra Yallampalli

5.7k total citations
170 papers, 4.8k citations indexed

About

Chandra Yallampalli is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Chandra Yallampalli has authored 170 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cellular and Molecular Neuroscience, 57 papers in Pediatrics, Perinatology and Child Health and 55 papers in Obstetrics and Gynecology. Recurrent topics in Chandra Yallampalli's work include Neuropeptides and Animal Physiology (63 papers), Pregnancy and preeclampsia studies (48 papers) and Birth, Development, and Health (46 papers). Chandra Yallampalli is often cited by papers focused on Neuropeptides and Animal Physiology (63 papers), Pregnancy and preeclampsia studies (48 papers) and Birth, Development, and Health (46 papers). Chandra Yallampalli collaborates with scholars based in United States, France and Vietnam. Chandra Yallampalli's co-authors include Pandu R. Gangula, Sunil J. Wimalawansa, Yuanlin Dong, Robert E. Garfield, Madhu Chauhan, Uma Yallampalli, Yuan-Lin Dong, Irina A. Buhimschi, Vijayakumar Chinnathambi and Meena Balakrishnan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Gastroenterology.

In The Last Decade

Chandra Yallampalli

169 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandra Yallampalli United States 39 1.4k 1.2k 1.1k 1.0k 953 170 4.8k
Omid Khorram United States 34 966 0.7× 484 0.4× 348 0.3× 349 0.3× 506 0.5× 115 3.4k
Ronald R. Magness United States 48 2.9k 2.1× 1.9k 1.6× 1.5k 1.3× 123 0.1× 1.1k 1.2× 171 6.8k
Kathleen M. Caron United States 39 509 0.4× 280 0.2× 529 0.5× 1.3k 1.3× 2.3k 2.4× 114 5.4k
Zhenmin Lei United States 43 784 0.6× 522 0.4× 254 0.2× 192 0.2× 1.1k 1.2× 137 5.3k
Carmen Clapp Mexico 38 509 0.4× 280 0.2× 293 0.3× 247 0.2× 1.5k 1.6× 159 4.6k
Claude Remacle Belgium 35 1.1k 0.8× 2.6k 2.2× 1.5k 1.3× 123 0.1× 871 0.9× 96 4.6k
Norimasa Sagawa Japan 34 1.4k 1.0× 1.4k 1.1× 1.3k 1.1× 73 0.1× 514 0.5× 144 4.7k
Gonzalo Martı́nez de la Escalera Mexico 37 404 0.3× 209 0.2× 245 0.2× 409 0.4× 1.3k 1.4× 152 4.2k
Sally Radovick United States 50 173 0.1× 601 0.5× 701 0.6× 315 0.3× 2.9k 3.0× 144 7.4k
Pasquale Florio Italy 42 2.3k 1.7× 1.9k 1.6× 191 0.2× 84 0.1× 1.2k 1.2× 199 5.7k

Countries citing papers authored by Chandra Yallampalli

Since Specialization
Citations

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

Fields of papers citing papers by Chandra Yallampalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandra Yallampalli

This figure shows the co-authorship network connecting the top 25 collaborators of Chandra Yallampalli. A scholar is included among the top collaborators of Chandra Yallampalli 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 Chandra Yallampalli. Chandra Yallampalli 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.
Peavey, Mary, San‐Pin Wu, Rong Li, et al.. (2021). Progesterone receptor isoform B regulates theOxtr-Plcl2-Trpc3pathway to suppress uterine contractility. Proceedings of the National Academy of Sciences. 118(11). 26 indexed citations
2.
Badachhape, Andrew, Ketan B. Ghaghada, Mayank Srivastava, et al.. (2019). Pre-clinical magnetic resonance imaging of retroplacental clear space throughout gestation. Placenta. 77. 1–7. 14 indexed citations
3.
Dong, Yuanlin, et al.. (2019). Impact of adrenomedullin blockage on lipid metabolism in female mice exposed to high-fat diet. Endocrine. 65(2). 278–285. 7 indexed citations
4.
Balakrishnan, Meena, et al.. (2018). Upregulation and release of soluble fms‐like tyrosine kinase receptor 1 mediated by complement activation in human syncytiotrophoblast cells. American Journal of Reproductive Immunology. 80(5). e13033–e13033. 19 indexed citations
5.
Ghaghada, Ketan B., Zbigniew Starosolski, Rohan Bhavane, et al.. (2017). Pre-clinical evaluation of a nanoparticle-based blood-pool contrast agent for MR imaging of the placenta. Placenta. 57. 60–70. 38 indexed citations
6.
Blesson, Chellakkan S., Vijayakumar Chinnathambi, Sathish Kumar, & Chandra Yallampalli. (2017). Gestational Protein Restriction Impairs Glucose Disposal in the Gastrocnemius Muscles of Female Rats. Endocrinology. 158(4). 756–767. 12 indexed citations
7.
Gao, Haijun, et al.. (2016). A Low-Protein Diet Enhances Angiotensin II Production in the Lung of Pregnant Rats but Not Nonpregnant Rats. Journal of Pregnancy. 2016. 1–11. 3 indexed citations
8.
Blesson, Chellakkan S., Amy K. Schutt, Meena Balakrishnan, et al.. (2016). Novel lean type 2 diabetic rat model using gestational low-protein programming. American Journal of Obstetrics and Gynecology. 214(4). 540.e1–540.e7. 15 indexed citations
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Elkins, Rebekah, et al.. (2011). Prenatal testosterone-induced fetal growth restriction is associated with down-regulation of rat placental amino acid transport. Reproductive Biology and Endocrinology. 9(1). 110–110. 107 indexed citations
13.
Gangula, Pandu R., et al.. (2009). In Utero Low-Protein Diet Alters Vascular Estrogen Receptors, Endothelial Nitric Oxide Synthase and Angiotensin 11 Subtype 1 Receptors in adult male and female rat offspring. Current Trends in Biotechnology and Pharmacy. 3(4). 341–351.
14.
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
15.
Chauhan, Madhu, et al.. (2003). Evidence for the existence of a new receptor for CGRP, which is not CRLR. Peptides. 24(1). 65–71. 27 indexed citations
16.
Bukoski, R. D., et al.. (2002). Effects of Pregnancy and Female Sex Steroid Hormones on Calcitonin Gene-Related Peptide Content of Mesenteric Artery in Rats1. Biology of Reproduction. 67(5). 1430–1434. 8 indexed citations
17.
Fang, Li, et al.. (2000). Frequency-Dependent Effect of Nitric Oxide Donor Nitroglycerin on Bone. Journal of Bone and Mineral Research. 15(6). 1119–1125. 40 indexed citations
18.
Chatterjee, Sharmistha, Pandu R. Gangula, Yuanlin Dong, & Chandra Yallampalli. (1996). Immunocytochemical localization of nitric oxide synthase-III in reproductive organs of female rats during the oestrous cycle. The Histochemical Journal. 28(10). 715–723. 71 indexed citations
19.
Singhal, Sharad S., Chandra Yallampalli, Jyotsana Singhal, John T. Piper, & Sanjay Awasthi. (1996). Purification and characterization of glutathione S-transferases of rat uterus. The International Journal of Biochemistry & Cell Biology. 28(11). 1271–1283. 6 indexed citations
20.
Garfield, Robert E., et al.. (1995). Role of gap junctions and nitric oxide in control of myometrial contractility. Seminars in Perinatology. 19(1). 41–51. 48 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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