Uma Ram
Impact in
- Obstetrics and Gynecology top 2%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
- COVID-19 Impact on Reproduction
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- Birth, Development, and Health
Papers in
-
- Gestational Diabetes Research and Management 9
- Pregnancy and preeclampsia studies 4
- COVID-19 Impact on Reproduction 1
- Surgery 3
- Bariatric Surgery and Outcomes 3
- Co-authors
- Helena Bäckman (3 shared papers)Katrien Benhalima (3 shared papers)David Simmons (3 shared papers)Jincy Immanuel (3 shared papers)Arianne Sweeting (3 shared papers)Marie‐France Hivert (3 shared papers)Claire L. Meek (3 shared papers)Christopher J. Nolan (3 shared papers)
- Journals
- The Lancet (2 papers)Obstetrical & Gynecological Survey (1 paper)Diabetes Research and Clinical Practice (1 paper)Journal of the Indian Institute of Science (1 paper)Diabetologia (1 paper)
- Partner nations
- IndiaUnited KingdomBelgium
In The Last Decade
Uma Ram
11 papers receiving 434 citations
Uma Ram's Hit Papers
Peers
Comparison fields: 5 of 52
- Obstetrics and Gynecology 295
- Pediatrics, Perinatology and Child Health 72
- Endocrinology, Diabetes and Metabolism 42
- Public Health, Environmental and Occupational Health 65
- Surgery 65
Countries citing papers authored by Uma Ram
This map shows the geographic impact of Uma Ram'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 Uma Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Ram more than expected).
Fields of papers citing papers by Uma Ram
This network shows the impact of papers produced by Uma Ram. 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 Uma Ram. The network helps show where Uma Ram may publish in the future.
Co-authors
The 25 scholars most cited alongside Uma Ram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Epidemiology and management of gestational diabetes Hit paper breakdown → | 2024 | 160 |
| 2 | Pathophysiology from preconception, during pregnancy, and beyond Hit paper breakdown → | 2024 | 72 |
| 3 | 2020 | 56 | |
| 4 | 2016 | 49 | |
| 5 | 2016 | 47 | |
| 6 | 2019 | 25 | |
| 7 | 2014 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 4 | |
| 10 | 2025 | 1 | |
| 11 | 2017 | 1 | |
| 12 | 2025 | 0 |
About Uma Ram
Uma Ram is a scholar working on Obstetrics and Gynecology, Surgery, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 445 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (9 papers), Pregnancy and preeclampsia studies (4 papers), Bariatric Surgery and Outcomes (3 papers), Diabetes Management and Research (1 paper), COVID-19 Impact on Reproduction (1 paper), COVID-19 and Mental Health (1 paper), Ovarian function and disorders (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Obstetrics and Gynecology (295 citations), Pediatrics, Perinatology and Child Health (72 citations), Endocrinology, Diabetes and Metabolism (42 citations), Public Health, Environmental and Occupational Health (65 citations) and Surgery (65 citations). Uma Ram has collaborated with scholars based in India, United Kingdom and Belgium. Frequent co-authors include Helena Bäckman, Katrien Benhalima, David Simmons, Jincy Immanuel, Arianne Sweeting, Marie‐France Hivert, Claire L. Meek, Christopher J. Nolan, Patrick M. Catalano and Viswanathan Mohan. Their work appears in journals such as The Lancet, Obstetrical & Gynecological Survey, Diabetes Research and Clinical Practice, Journal of the Indian Institute of Science and Diabetologia.
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.