Karuna Randhir

537 total citations
28 papers, 380 citations indexed

About

Karuna Randhir is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Nutrition and Dietetics. According to data from OpenAlex, Karuna Randhir has authored 28 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pediatrics, Perinatology and Child Health, 21 papers in Obstetrics and Gynecology and 7 papers in Nutrition and Dietetics. Recurrent topics in Karuna Randhir's work include Pregnancy and preeclampsia studies (21 papers), Birth, Development, and Health (21 papers) and Gestational Diabetes Research and Management (8 papers). Karuna Randhir is often cited by papers focused on Pregnancy and preeclampsia studies (21 papers), Birth, Development, and Health (21 papers) and Gestational Diabetes Research and Management (8 papers). Karuna Randhir collaborates with scholars based in India, United Kingdom and United States. Karuna Randhir's co-authors include Sadhana Joshi, Girija Wagh, Savita Mehendale, Anvita Kale, Hemlata Pisal, Pratiksha Sable, Sanjay Gupte, Deepali Sundrani, Amrita Khaire and Nisha Wadhwani and has published in prestigious journals such as PLoS ONE, Life Sciences and Placenta.

In The Last Decade

Karuna Randhir

24 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karuna Randhir India 11 234 232 80 63 51 28 380
Asmita Joshi India 12 292 1.2× 303 1.3× 89 1.1× 61 1.0× 69 1.4× 14 461
Sarah E. Steane Australia 14 199 0.9× 139 0.6× 73 0.9× 160 2.5× 28 0.5× 29 458
Anitha S. Kilari India 13 354 1.5× 348 1.5× 235 2.9× 32 0.5× 68 1.3× 16 561
Linguo Pei China 12 185 0.8× 62 0.3× 30 0.4× 107 1.7× 24 0.5× 21 346
Madhavi Dhobale India 11 199 0.9× 185 0.8× 88 1.1× 35 0.6× 61 1.2× 11 361
Dipali Goyal United States 9 277 1.2× 176 0.8× 22 0.3× 151 2.4× 14 0.3× 13 459
Francien V. Velzing‐Aarts Netherlands 8 175 0.7× 107 0.5× 147 1.8× 39 0.6× 63 1.2× 9 340
Jeremy A Sandgren United States 9 165 0.7× 178 0.8× 32 0.4× 54 0.9× 5 0.1× 15 370
Nicole E. De Long Canada 8 134 0.6× 128 0.6× 24 0.3× 63 1.0× 9 0.2× 10 344
Jianying Tao China 12 150 0.6× 165 0.7× 18 0.2× 73 1.2× 9 0.2× 26 316

Countries citing papers authored by Karuna Randhir

Since Specialization
Citations

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

Fields of papers citing papers by Karuna Randhir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karuna Randhir

This figure shows the co-authorship network connecting the top 25 collaborators of Karuna Randhir. A scholar is included among the top collaborators of Karuna Randhir 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 Karuna Randhir. Karuna Randhir 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.
3.
Kinare, Arun S., Kamini Dangat, Sanjay Gupte, et al.. (2024). Comparison of fetal growth patterns from Western India with Intergrowth-21st. PLoS ONE. 19(10). e0310710–e0310710.
4.
Dangat, Kamini, Karuna Randhir, Girija Wagh, et al.. (2024). Longitudinal Assessment of Oxidative Stress Markers in Women with Preeclampsia. Reproductive Sciences. 31(9). 2731–2740. 1 indexed citations
5.
6.
Wadhwani, Nisha, Karuna Randhir, Sameer V. Dalvi, et al.. (2023). Erythrocyte fatty acids and desaturase indices in early pregnancy are associated with risk of preeclampsia. Prostaglandins Leukotrienes and Essential Fatty Acids. 196. 102583–102583. 1 indexed citations
7.
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
8.
Sundrani, Deepali, Karuna Randhir, Girija Wagh, et al.. (2023). Altered expression of nutrient transporters in syncytiotrophoblast membranes in preeclampsia placentae. Placenta. 139. 181–189. 3 indexed citations
9.
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
10.
Wadhwani, Nisha, Kamini Dangat, Karuna Randhir, et al.. (2022). Longitudinal Assessment of Calcium and Magnesium Levels in Women with Preeclampsia. Biological Trace Element Research. 201(7). 3245–3255. 2 indexed citations
11.
Dangat, Kamini, Sanjay Gupte, Girija Wagh, et al.. (2022). Gestational weight gain in the REVAMP pregnancy cohort in Western India: Comparison with international and national references. Frontiers in Medicine. 9. 1022990–1022990.
12.
Sundrani, Deepali, et al.. (2021). Placental apoptotic markers are associated with placental morphometry. Placenta. 115. 1–11. 17 indexed citations
13.
Randhir, Karuna, et al.. (2021). Maternal vitamin D deficiency reduces docosahexaenoic acid, placental growth factor and peroxisome proliferator activated receptor gamma levels in the pup brain in a rat model of preeclampsia. Prostaglandins Leukotrienes and Essential Fatty Acids. 175. 102364–102364. 4 indexed citations
14.
Randhir, Karuna, Hemlata Pisal, Nandini Malshe, et al.. (2020). Association of preeclampsia with anthropometric measures and blood pressure in Indian children. PLoS ONE. 15(5). e0231989–e0231989. 8 indexed citations
15.
Nandi, Anindita, Nisha Wadhwani, Karuna Randhir, Girija Wagh, & S. K. Joshi. (2019). Association of vitamin D with fatty acids in pregnancy. Prostaglandins Leukotrienes and Essential Fatty Acids. 157. 102030–102030. 10 indexed citations
16.
17.
Wadhwani, Nisha, et al.. (2016). Placental DHA and mRNA levels of PPARγ and LXRα and their relationship to birth weight. Journal of clinical lipidology. 10(4). 767–774. 20 indexed citations
18.
Randhir, Karuna, et al.. (2016). Maternal Fatty Acids and Their Association with Birth Outcome: A Prospective Study. PLoS ONE. 11(1). e0147359–e0147359. 56 indexed citations
19.
Rani, Alka, Hemlata Pisal, Karuna Randhir, et al.. (2016). Increased oxidative stress from early pregnancy in women who develop preeclampsia. Clinical and Experimental Hypertension. 38(2). 225–232. 69 indexed citations
20.
Sable, Pratiksha, et al.. (2013). Effect of maternal micronutrients (folic acid and vitamin B12) and omega 3 fatty acids on indices of brain oxidative stress in the offspring. Brain and Development. 36(3). 219–227. 34 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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