Deepali Sundrani

1.2k total citations
43 papers, 870 citations indexed

About

Deepali Sundrani is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Immunology. According to data from OpenAlex, Deepali Sundrani has authored 43 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Obstetrics and Gynecology, 32 papers in Pediatrics, Perinatology and Child Health and 12 papers in Immunology. Recurrent topics in Deepali Sundrani's work include Pregnancy and preeclampsia studies (36 papers), Birth, Development, and Health (27 papers) and Gestational Diabetes Research and Management (12 papers). Deepali Sundrani is often cited by papers focused on Pregnancy and preeclampsia studies (36 papers), Birth, Development, and Health (27 papers) and Gestational Diabetes Research and Management (12 papers). Deepali Sundrani collaborates with scholars based in India, United Kingdom and United States. Deepali Sundrani's co-authors include Sadhana Joshi, Savita Mehendale, Preeti Chavan, Girija Wagh, Asmita Joshi, Giriraj R. Chandak, Karuna Randhir, Sanjay Gupte, Anandwardhan A. Hardikar and Hemlata Pisal and has published in prestigious journals such as PLoS ONE, Life Sciences and Journal of Cellular Biochemistry.

In The Last Decade

Deepali Sundrani

42 papers receiving 858 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepali Sundrani India 20 603 458 190 145 109 43 870
Priyadarshini Pantham United States 11 549 0.9× 366 0.8× 123 0.6× 129 0.9× 93 0.9× 16 761
Zhan Zhang China 19 416 0.7× 212 0.5× 225 1.2× 174 1.2× 103 0.9× 31 780
Eiji Shibata Japan 15 702 1.2× 589 1.3× 275 1.4× 107 0.7× 117 1.1× 39 965
Melanie C. Audette Canada 16 580 1.0× 533 1.2× 105 0.6× 118 0.8× 141 1.3× 25 855
D. Évain-Brion France 15 343 0.6× 298 0.7× 147 0.8× 302 2.1× 122 1.1× 29 875
Amelia Sutton United States 13 273 0.5× 192 0.4× 67 0.4× 170 1.2× 114 1.0× 24 797
Julieta Maymó Argentina 18 446 0.7× 308 0.7× 183 1.0× 127 0.9× 64 0.6× 29 1.0k
Minoo Yaghmaei Iran 14 293 0.5× 175 0.4× 106 0.6× 75 0.5× 57 0.5× 56 535
Cissy Chenyi Zhou United States 10 766 1.3× 570 1.2× 486 2.6× 111 0.8× 77 0.7× 10 979
Sribalasubashini Muralimanoharan United States 12 645 1.1× 474 1.0× 139 0.7× 236 1.6× 56 0.5× 16 896

Countries citing papers authored by Deepali Sundrani

Since Specialization
Citations

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

Fields of papers citing papers by Deepali Sundrani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepali Sundrani

This figure shows the co-authorship network connecting the top 25 collaborators of Deepali Sundrani. A scholar is included among the top collaborators of Deepali Sundrani 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 Deepali Sundrani. Deepali Sundrani 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.
Sundrani, Deepali, Karuna Randhir, Sanjay Lalwani, et al.. (2024). Maternal angiogenic factor disruptions prior to clinical diagnosis of preeclampsia: insights from the REVAMP study. Hypertension Research. 47(9). 2532–2548. 2 indexed citations
2.
Sundrani, Deepali, et al.. (2024). Angiogenic Markers in Gestational Diabetes and their Association with Placental Dimensions. Molecular and Cellular Biochemistry. 480(6). 3637–3646. 1 indexed citations
3.
Sundrani, Deepali, et al.. (2023). Fatty acids, inflammation and angiogenesis in women with gestational diabetes mellitus. Biochimie. 212. 31–40. 12 indexed citations
4.
5.
Sundrani, Deepali, Karuna Randhir, Savita Mehendale, et al.. (2023). Hypoxia Inducible Factors (HIF1α and HIF3α) are differentially methylated in preeclampsia placentae and are associated with birth outcomes. Molecular and Cellular Biochemistry. 478(10). 2309–2318. 5 indexed citations
6.
Sundrani, Deepali, et al.. (2022). Influence of maternal one carbon metabolites on placental programming and long term health. Placenta. 125. 20–28. 6 indexed citations
7.
Sundrani, Deepali, et al.. (2022). Association of placental fatty acid desaturase 2 (FADS2) methylation with maternal fatty acid levels in women with preeclampsia. Prostaglandins Leukotrienes and Essential Fatty Acids. 184. 102472–102472. 7 indexed citations
8.
Sundrani, Deepali & Sadhana Joshi. (2021). Assisted reproductive technology (ART) and epigenetic modifications in the placenta. Human Fertility. 26(3). 665–677. 1 indexed citations
9.
Sundrani, Deepali, et al.. (2021). Placental apoptotic markers are associated with placental morphometry. Placenta. 115. 1–11. 17 indexed citations
10.
Sundrani, Deepali, et al.. (2021). Unravelling the potential of angiogenic factors for the early prediction of preeclampsia. Hypertension Research. 44(7). 756–769. 7 indexed citations
11.
Wadhwani, Nisha, Deepali Sundrani, Girija Wagh, et al.. (2019). The REVAMP study: research exploring various aspects and mechanisms in preeclampsia: study protocol. BMC Pregnancy and Childbirth. 19(1). 308–308. 19 indexed citations
12.
13.
Sundrani, Deepali, et al.. (2017). Maternal Micronutrients, Omega-3 Fatty Acids and Gene Expression of Angiogenic and Inflammatory Markers in Pregnancy Induced Hypertension Rats. Archives of Medical Research. 48(5). 414–422. 10 indexed citations
14.
Sundrani, Deepali, et al.. (2016). Neurotrophins. Vitamins and hormones. 243–261. 34 indexed citations
15.
Sundrani, Deepali, et al.. (2015). Maternal nutrition influences angiogenesis in the placenta through peroxisome proliferator activated receptors: A novel hypothesis. Molecular Reproduction and Development. 82(10). 726–734. 38 indexed citations
16.
Sundrani, Deepali, et al.. (2015). Regional differences in the placental levels of oxidative stress markers in pre‐eclampsia. International Journal of Gynecology & Obstetrics. 129(3). 213–218. 39 indexed citations
17.
Sundrani, Deepali, et al.. (2015). Neurotrophin levels in different regions of the placenta and their association with birth outcome and blood pressure. Placenta. 36(8). 938–943. 26 indexed citations
18.
Sundrani, Deepali, Hemlata Pisal, Savita Mehendale, et al.. (2013). Gestation Dependant Changes in Angiogenic Factors and Their Associations with Fetal Growth Measures in Normotensive Pregnancy. PLoS ONE. 8(1). e54153–e54153. 44 indexed citations
19.
Sundrani, Deepali, et al.. (2012). Matrix Metalloproteinase-1 and -9 in Human Placenta during Spontaneous Vaginal Delivery and Caesarean Sectioning in Preterm Pregnancy. PLoS ONE. 7(1). e29855–e29855. 39 indexed citations
20.
Sundrani, Deepali, Preeti Chavan, Savita Mehendale, & Sadhana Joshi. (2011). Altered metabolism of maternal micronutrients and omega 3 fatty acids epigenetically regulate matrix metalloproteinases in preterm pregnancy: A novel hypothesis. Medical Hypotheses. 77(5). 878–883. 27 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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