Suja Padmanabhan
- Obstetrics and Gynecology top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Co-authors
- N. Wah CheungMark McLeanVincent LeeNeil AthaydeMonica ZenAdrienne KirbyMichael PeekThushari I. Alahakoon
- Topics
- Gestational Diabetes Research and Management (16 papers)Pregnancy and preeclampsia studies (10 papers)Maternal and fetal healthcare (5 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthEndocrinology, Diabetes and Metabolism
- Journals
- Diabetes CareNutrientsBMJ Open
- Partner nations
- AustraliaUnited States
In The Last Decade
Suja Padmanabhan
20 papers receiving 202 citations
Peers
Comparison fields: 5 of 29
- Obstetrics and Gynecology 169
- Pediatrics, Perinatology and Child Health 99
- Surgery 47
- Endocrinology, Diabetes and Metabolism 46
- Molecular Biology 18
Countries citing papers authored by Suja Padmanabhan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 16 | |
| 12 | 15 | |
| 13 | 16 | |
| 14 | 31 | |
| 15 | 17 | |
| 16 | Pre-existing diabetes in pregnancy. | 11 |
| 17 | 13 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 24 |
About Suja Padmanabhan
Suja Padmanabhan is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Occupational Therapy, having authored 20 papers that have together received 208 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (16 papers), Pregnancy and preeclampsia studies (10 papers) and Maternal and fetal healthcare (5 papers). The work is most often cited by research in Obstetrics and Gynecology (169 citations), Pediatrics, Perinatology and Child Health (99 citations) and Endocrinology, Diabetes and Metabolism (46 citations). Suja Padmanabhan has collaborated with scholars based in Australia and United States. Frequent 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. Their work appears in journals such as Diabetes Care, Nutrients and BMJ Open.
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.