Sadhana Joshi

6.1k total citations
155 papers, 4.7k citations indexed

About

Sadhana Joshi is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Nutrition and Dietetics. According to data from OpenAlex, Sadhana Joshi has authored 155 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Pediatrics, Perinatology and Child Health, 96 papers in Obstetrics and Gynecology and 59 papers in Nutrition and Dietetics. Recurrent topics in Sadhana Joshi's work include Birth, Development, and Health (99 papers), Pregnancy and preeclampsia studies (81 papers) and Fatty Acid Research and Health (51 papers). Sadhana Joshi is often cited by papers focused on Birth, Development, and Health (99 papers), Pregnancy and preeclampsia studies (81 papers) and Fatty Acid Research and Health (51 papers). Sadhana Joshi collaborates with scholars based in India, United States and United Kingdom. Sadhana Joshi's co-authors include Savita Mehendale, Anvita Kale, Deepali Sundrani, Kamini Dangat, Preeti Chavan, Asmita Kulkarni, Sahebarao P. Mahadik, Girija Wagh, Nisha Wadhwani and Pratiksha Sable and has published in prestigious journals such as PLoS ONE, Neuroscience and Journal of Nutrition.

In The Last Decade

Sadhana Joshi

148 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sadhana Joshi India 38 2.5k 2.2k 1.2k 745 646 155 4.7k
Rebecca A. Simmons United States 49 4.1k 1.6× 2.1k 1.0× 772 0.6× 145 0.2× 1.9k 2.9× 132 7.6k
Robert H. Lane United States 42 3.2k 1.3× 1.3k 0.6× 746 0.6× 119 0.2× 1.4k 2.2× 146 5.1k
W. Edward Visser Netherlands 46 2.5k 1.0× 2.5k 1.1× 165 0.1× 147 0.2× 891 1.4× 248 7.5k
Sherin U. Devaskar United States 48 2.7k 1.1× 1.4k 0.7× 695 0.6× 103 0.1× 2.4k 3.8× 203 7.1k
Jörg Dötsch Germany 31 1.3k 0.5× 928 0.4× 305 0.2× 83 0.1× 618 1.0× 200 3.1k
Meng Mao China 33 620 0.3× 249 0.1× 395 0.3× 481 0.6× 1.1k 1.6× 159 4.0k
Francis de Zegher Belgium 44 1.8k 0.7× 680 0.3× 408 0.3× 98 0.1× 873 1.4× 118 4.8k
Amanda J. Drake United Kingdom 37 2.2k 0.9× 980 0.4× 297 0.2× 88 0.1× 1.1k 1.7× 98 4.5k
Guoying Wang United States 30 1.2k 0.5× 711 0.3× 339 0.3× 188 0.3× 279 0.4× 127 2.9k
Sylvie Hauguel‐de Mouzon United States 38 3.0k 1.2× 3.7k 1.7× 461 0.4× 63 0.1× 611 0.9× 67 5.8k

Countries citing papers authored by Sadhana Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Sadhana Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadhana Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Sadhana Joshi. A scholar is included among the top collaborators of Sadhana Joshi 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 Sadhana Joshi. Sadhana Joshi 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.
Krishnaveni, Ghattu V., et al.. (2025). Longitudinal assessment of maternal micronutrients (folate and vitamin B12) and homocysteine levels in women who develop gestational diabetes mellitus. European Journal of Clinical Nutrition. 79(6). 520–528.
2.
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
3.
Joshi, Sadhana, et al.. (2023). Early pregnancy oxidative stress is associated with shorter placental telomeres in preeclampsia. Placenta. 140. e46–e46. 1 indexed citations
4.
Sundrani, Deepali, et al.. (2023). Fatty acids, inflammation and angiogenesis in women with gestational diabetes mellitus. Biochimie. 212. 31–40. 12 indexed citations
5.
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 & Sadhana Joshi. (2021). Assisted reproductive technology (ART) and epigenetic modifications in the placenta. Human Fertility. 26(3). 665–677. 1 indexed citations
8.
Wadhwani, Nisha, et al.. (2020). Exploring the role of LC-PUFA metabolism in pregnancy complications. Prostaglandins Leukotrienes and Essential Fatty Acids. 163. 102203–102203. 23 indexed citations
9.
Khaire, Amrita, et al.. (2020). Maternal fats and pregnancy complications: Implications for long-term health. Prostaglandins Leukotrienes and Essential Fatty Acids. 157. 102098–102098. 23 indexed citations
10.
Sundrani, Deepali, et al.. (2016). Neurotrophins. Vitamins and hormones. 243–261. 34 indexed citations
11.
Kale, Anvita, et al.. (2016). Novel insights into the effect of vitamin B12 and omega-3 fatty acids on brain function. Journal of Biomedical Science. 23(1). 17–17. 56 indexed citations
12.
13.
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
14.
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
15.
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
16.
Wadhwani, Nisha, Hemlata Pisal, Asmita Joshi, et al.. (2014). Altered maternal proportions of long chain polyunsaturated fatty acids and their transport leads to disturbed fetal stores in preeclampsia. Prostaglandins Leukotrienes and Essential Fatty Acids. 91(1-2). 21–30. 64 indexed citations
17.
Dangat, Kamini, Anvita Kale, & Sadhana Joshi. (2011). Maternal supplementation of omega 3 fatty acids to micronutrient-imbalanced diet improves lactation in rat. Metabolism. 60(9). 1318–1324. 17 indexed citations
18.
Kale, Anvita, Sadhana Joshi, Anilkumar Pillai, et al.. (2009). Reduced cerebrospinal fluid and plasma nerve growth factor in drug-naïve psychotic patients. Schizophrenia Research. 115(2-3). 209–214. 34 indexed citations
19.
Rao, Shobha, Chittaranjan S. Yajnik, Asawari Kanade, et al.. (2001). Intake of Micronutrient-Rich Foods in Rural Indian Mothers Is Associated with the Size of Their Babies at Birth: Pune Maternal Nutrition Study. Journal of Nutrition. 131(4). 1217–1224. 397 indexed citations
20.
Joshi, Sadhana. (1969). Effects of an intra-uterine foreign body (IUFB) on glycogen accumulation and lysosomal enzyme activity in rat uterus. Reproduction. 18(1). 170–171. 6 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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