Suja Padmanabhan

416 total citations
20 papers, 208 citations indexed

About

Suja Padmanabhan is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Suja Padmanabhan has authored 20 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Obstetrics and Gynecology, 9 papers in Pediatrics, Perinatology and Child Health and 3 papers in Epidemiology. Recurrent topics in Suja Padmanabhan's work include Gestational Diabetes Research and Management (16 papers), Pregnancy and preeclampsia studies (10 papers) and Maternal and fetal healthcare (5 papers). Suja Padmanabhan is often cited by papers focused on Gestational Diabetes Research and Management (16 papers), Pregnancy and preeclampsia studies (10 papers) and Maternal and fetal healthcare (5 papers). Suja Padmanabhan collaborates with scholars based in Australia and United States. Suja Padmanabhan's co-authors include N. Wah Cheung, Mark McLean, Vincent Lee, Neil Athayde, Monica Zen, Adrienne Kirby, Michael Peek, Thushari I. Alahakoon, V. Lanzarone and Christian M. Girgis and has published in prestigious journals such as Diabetes Care, Nutrients and BMJ Open.

In The Last Decade

Suja Padmanabhan

20 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suja Padmanabhan Australia 9 169 99 47 46 18 20 208
Daphne N. Voormolen Netherlands 7 141 0.8× 70 0.7× 50 1.1× 41 0.9× 12 0.7× 8 194
Monica E. Bianco United States 4 144 0.9× 91 0.9× 37 0.8× 26 0.6× 15 0.8× 12 189
Helena Backman Sweden 7 192 1.1× 78 0.8× 90 1.9× 39 0.8× 7 0.4× 12 222
Freja Bach Kampmann Denmark 8 137 0.8× 108 1.1× 40 0.9× 27 0.6× 19 1.1× 13 248
Madelon L. Geurtsen Netherlands 8 72 0.4× 82 0.8× 24 0.5× 39 0.8× 31 1.7× 14 180
Patrick Henley New Zealand 7 270 1.6× 127 1.3× 107 2.3× 92 2.0× 13 0.7× 9 338
Giovanna Gregori Italy 4 181 1.1× 105 1.1× 82 1.7× 56 1.2× 21 1.2× 7 317
Jade England Canada 5 124 0.7× 145 1.5× 45 1.0× 21 0.5× 18 1.0× 6 227
M. Sorger Germany 9 144 0.9× 49 0.5× 137 2.9× 118 2.6× 32 1.8× 32 302
Octavious Talbot United States 9 148 0.9× 175 1.8× 24 0.5× 14 0.3× 38 2.1× 10 282

Countries citing papers authored by Suja Padmanabhan

Since Specialization
Citations

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

Fields of papers citing papers by Suja Padmanabhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suja Padmanabhan

This figure shows the co-authorship network connecting the top 25 collaborators of Suja Padmanabhan. A scholar is included among the top collaborators of Suja Padmanabhan 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 Suja Padmanabhan. Suja Padmanabhan 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.
Cheung, N. Wah, David Simmons, Simone Marschner, et al.. (2024). Randomised Controlled Trial of a Customised Text Messaging and Activity Monitor Program for Lifestyle Improvement after Gestational Diabetes. Nutrients. 16(6). 820–820. 4 indexed citations
2.
White, Lisa J., Justin McNab, Vincent Lee, et al.. (2023). Previous High-Intensity Breastfeeding Lowers the Risk of an Abnormal Fasting Glucose in a Subsequent Pregnancy Oral Glucose Tolerance Test. Nutrients. 16(1). 28–28. 2 indexed citations
3.
Kirby, Adrienne, et al.. (2022). Pregnancy outcomes in women with gestational diabetes mellitus by models of care: a retrospective cohort study. BMJ Open. 12(9). e065063–e065063. 6 indexed citations
4.
White, Lisa J., M. Y. Simmons, Adrienne Kirby, et al.. (2022). The BLIiNG study - Breastfeeding length and intensity in gestational diabetes and metabolic effects in a subsequent pregnancy: A cohort study. Midwifery. 107. 103262–103262. 11 indexed citations
5.
Padmanabhan, Suja, Vincent Lee, Mark McLean, et al.. (2022). The relationship between falling insulin requirements and serial ultrasound measurements in women with preexisting diabetes: a prospective cohort study. The Journal of Maternal-Fetal & Neonatal Medicine. 35(25). 10239–10245. 1 indexed citations
6.
7.
Zen, Monica, David Simmons, Michael Peek, et al.. (2021). Aspirin for the prevention of pre‐eclampsia in women with pre‐existing diabetes: Systematic review. Australian and New Zealand Journal of Obstetrics and Gynaecology. 62(1). 12–21. 6 indexed citations
8.
Cheung, N. Wah, et al.. (2021). Aspirin and pre‐eclampsia prevention in women with pre‐existing diabetes: a retrospective study. Internal Medicine Journal. 51(10). 1673–1680. 5 indexed citations
9.
Lam, Teresa, et al.. (2020). A ‘Speed-Dating’ Model of Wound Care? Rapid, High-Volume Assessment of Patients With Diabetes in a Multidisciplinary Foot Wound Clinic. Experimental and Clinical Endocrinology & Diabetes. 129(11). 837–841. 6 indexed citations
10.
Zen, Monica, Suja Padmanabhan, N. Wah Cheung, et al.. (2019). Microalbuminuria as an early predictor of preeclampsia in the pre-gestational diabetic population: A prospective cohort study. Pregnancy Hypertension. 15. 182–188. 7 indexed citations
11.
Athayde, Neil, et al.. (2019). Causes of stillbirths in diabetic and gestational diabetes pregnancies at a NSW tertiary referral hospital. Australian and New Zealand Journal of Obstetrics and Gynaecology. 59(4). 561–566. 16 indexed citations
12.
Zen, Monica, Suja Padmanabhan, Kewei Zhang, et al.. (2019). Urinary and Serum Angiogenic Markers in Women With Preexisting Diabetes During Pregnancy and Their Role in Preeclampsia Prediction. Diabetes Care. 43(1). 67–73. 15 indexed citations
13.
Padmanabhan, Suja, et al.. (2018). SGLT2 inhibitors and amputation risk: Real-world data from a diabetes foot wound clinic. Journal of Clinical & Translational Endocrinology. 13. 46–47. 16 indexed citations
14.
Padmanabhan, Suja, Vincent Lee, Mark McLean, et al.. (2017). The Association of Falling Insulin Requirements With Maternal Biomarkers and Placental Dysfunction: A Prospective Study of Women With Preexisting Diabetes in Pregnancy. Diabetes Care. 40(10). 1323–1330. 31 indexed citations
15.
Padmanabhan, Suja, et al.. (2016). Effect of pregnancy on insulin requirements differs between type 1 and type 2 diabetes: A cohort study of 222 pregnancies. Australian and New Zealand Journal of Obstetrics and Gynaecology. 56(4). 352–357. 17 indexed citations
16.
Padmanabhan, Suja, Monica Zen, Vincent Lee, & N. Wah Cheung. (2016). Pre-existing diabetes in pregnancy.. PubMed. 41(1). 11 indexed citations
17.
Padmanabhan, Suja, et al.. (2015). Microalbuminuria is a predictor of adverse pregnancy outcomes including preeclampsia. Pregnancy Hypertension. 5(4). 303–307. 13 indexed citations
18.
Cheung, N. Wah, et al.. (2015). Gestational diabetes: a red flag for future Type 2 diabetes in pregnancy? A retrospective analysis. Diabetic Medicine. 32(9). 1167–1171. 4 indexed citations
19.
Padmanabhan, Suja, et al.. (2014). Increase in body mass index during pregnancy and risk of gestational diabetes. Diabetes Research and Clinical Practice. 106(3). e79–e82. 6 indexed citations
20.
Padmanabhan, Suja, Mark McLean, & N. Wah Cheung. (2014). Falling Insulin Requirements Are Associated With Adverse Obstetric Outcomes in Women With Preexisting Diabetes. Diabetes Care. 37(10). 2685–2692. 24 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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